A data gathering system (100) has at least one processor configured to perform a compression scheme for wireless transmission. The compression scheme may include amplitude reduction, where a difference between every two consecutive values of a plurality of values is computed and stored in an array. Additionally, the compression scheme may include bit packing, where outlier values are output in a first bit length, and remaining values are output in a second bit length, where the second bit length is determined so as to minimize a total memory cost for all values. Further, the system may store data recorded at different points in time in an array of data chunks, and wirelessly transmit the array of data chunks simultaneously.
A method for analyzing sounds made by an individual during a sleep session includes receiving audio data associated with the sleep session. The sleep session is divided into at least a plurality of primary segments. The method further includes determining, based at least in part on the audio data, whether one or more snoring sounds were made by the individual during each of at least two of the plurality of primary segments. The method further includes determining a snore score for each of a plurality of secondary segments of the sleep session. Each of the plurality of secondary segments contains two or more of the plurality of primary segments. The method further includes generating, based at least in part on the snore score for each of the plurality of secondary segments, a human-perceivable audio sample of at least one of the plurality of secondary segments.
A method includes receiving a flow rate signal associated with a user interface of a respiratory therapy device used by a user engaging in a sleep session. The method further includes identifying a plurality of cardiogenic oscillations from the flow rate signal. The method further includes determining consecutive peak distances based at least in part on the identified plurality of cardiogenic oscillations. The method further includes calculating heart rate information based on the consecutive peak distances.
A wireless communications enabled memory card (100) has a card interface (104) for wired communicating with a medical device. The memory card has a non-volatile memory (106) for storing therapy data provided by the medical device. The memory card may have a Wi-Fi transceiver (110) for joining a Wi-Fi network. The memory card may receive authentication information for joining the network from the medical device via the card interface or from a wireless device via a direct Wi-Fi connection. After joining the Wi-Fi network, the memory card may transmit the therapy data to a remote server (130).
G16H 10/65 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients stockées sur des supports d’enregistrement portables, p.ex. des cartes à puce, des étiquettes d’identification radio-fréquence [RFID] ou des CD
5.
SYSTEMS FOR DETECTING A LEAK IN A RESPIRATORY THERAPY SYSTEM
A method for characterizing a leak in a respiratory therapy system comprises identifying a specific model of a user interface and a conduit of the respiratory therapy system. The method further comprises selecting one of a plurality of predefined pressure versus flow curves based on the identified user interface and conduit. The predefined pressure versus flow curve is associated with airflow characteristics of the respiratory therapy system when the identified user interface is coupled to the identified conduit. The method further comprises receiving pressure data and flow data associated with air flowing in the respiratory therapy system. The method further comprises comparing the pressure data and the flow data to the predefined pressure versus flow curve. The method further includes characterizing, based at least in part on the comparing, a leak in the respiratory therapy system that occurred during the use of the respiratory therapy system.
A method and system for determining a positional sleep disordered breathing (pSDB) status associated with a respiratory device user is disclosed. Airflow data associated with the user is received. The airflow data is analyzed to identify a first time period of suspected arousal and a second time period of suspected arousal. A first time section between the identified first time period and the identified second time period is determined. The airflow data associated with the determined first time section is analyzed to identify (i) an indication of one or more respiratory events and/or (ii) an indication of one or more therapy events. Based at least in part on the (i) identified indication of one or more respiratory events and/or (ii) identified indication of one or more therapy events, the pSDB status of the user is determined, where the pSDB status is indicative of whether or not the user has pSDB.
A method comprises receiving data associated with a diabetes treatment plan of the individual. The method further comprises receiving data associated with a respiratory therapy plan of the individual. The respiratory therapy plan is implementable by a respiratory therapy system during a sleep session. The method further comprises determining a potential interaction between the diabetes treatment plan of the individual and the respiratory therapy plan of the individual. The method further comprises, based on the interaction, updating the diabetes treatment plan of the individual.
G16H 20/00 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients
G16H 20/10 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des médicaments ou des médications, p.ex. pour s’assurer de l’administration correcte aux patients
A wearable device can automatically switch between modes of collecting sensor data when a docking event is detected between the wearable device and a docking device. In a first mode (e.g., when undocked), data can be collected using a first sensor configuration (e.g., a first set of sensors operating using a first set of sensing parameters). In a second mode (e.g., when docked), data can be collected using a second sensor configuration, which can include the use of one or more different sensors and/or the use of one or more different sensing parameters. The first mode may prioritize battery life, whereas the second mode may prioritize sensor data fidelity, such as by increasing sampling rates, using different sensors, and the like. Sensor data from the first and second modes can be used individually (e.g., to calibrate the other) and/or together (e.g., to determine physiological parameters).
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/1455 - Mesure des caractéristiques du sang in vivo, p.ex. de la concentration des gaz dans le sang, de la valeur du pH du sang en utilisant des capteurs optiques, p.ex. des oxymètres à photométrie spectrale
A61B 5/1495 - Mesure des caractéristiques du sang in vivo, p.ex. de la concentration des gaz dans le sang, de la valeur du pH du sang Étalonnage ou test des sondes in vivo
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
An intelligent entrainment program can make use of received biometric sensor data to provide hyper-personalized guidance to entrain a user's respiration pattern towards a target respiration pattern. The entrainment program can be used for sleep-related therapy, such as to facilitate falling asleep, staying asleep, and/or waking up. Respiration information (e.g., respiration rate, time between breaths, maximal inspiration information, maximal expiration information, respiration rate variability, respiration morphology information, and the like) can be extracted from the biometric sensor data and used to establish a target respiration pattern. An entrainment signal can be determined from the target respiration pattern and then used to present an entrainment stimulus (e.g., via audio, visual, tactile, or other stimuli) to the user.
G16H 20/30 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies ou des activités physiques, p.ex. la physiothérapie, l’acupression ou les exercices
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 20/70 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mentales, p.ex. la thérapie psychologique ou le training autogène
10.
BIOFEEDBACK COGNITIVE BEHAVIORAL THERAPY FOR INSOMNIA
Intelligent systems and methods for facilitating insomnia therapy are disclosed. Sensor data (e.g., non-contact sensor data) can be used to determine physiological parameter(s), such as sleep-related physiological parameter(s), which can be used to generate a sleep disorder prediction. The sleep disorder prediction can be used, along with an identified sleep therapy plan, to generate and facilitate application of (e.g., present to a user or automatically apply) a sleep therapy recommendation. When sleep apnea is predicted in concert with an identified cognitive behavioral therapy for insomnia (CBTi) plan, a warning can be presented to the user to not engage in certain CBTi therapies. Sensor data can also be used to automatically update therapy parameter(s) of an ongoing sleep therapy plan, such as in realtime.
G16H 20/00 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients
11.
SYSTEMS AND METHODS FOR CHARACTERIZING A CONDUIT IN A RESPIRATORY THERAPY SYSTEM
Various implementations of the present disclosure are directed to systems and methods for characterizing a conduit coupled to a respiratory therapy device in a respiratory therapy system. The method includes generating a first airflow from the respiratory therapy device to the conduit by operating a motor of the respiratory therapy device at a first revolutions per minute. The method further includes receiving a first airflow parameter data associated with the first airflow, wherein the first airflow parameter data has a first pair of two distinct airflow parameter values. The method further includes determining a first relationship between the first airflow parameter data and the conduit, and characterizing the conduit based on the first relationship.
A method of determining a sleep stage of an individual comprises identifying features associated with a current epoch of the sleep session, determining a plurality of sleep stage probabilities based on the features, identifying events experienced by the individual during the current epoch, and adjusting each of the plurality of sleep stage probabilities based on events experienced by the individual during the current epoch or a prior epoch, and/or a sleep stage previously determined for the prior epoch. The features include at least one feature associated with a flow of pressurized air from a respiratory therapy system used by the individual, at least one feature associated with a respiration rate of the individual, and/or at least one feature associated with a time of the sleep session. Each sleep stage probability corresponds to a respective one of a plurality of potential sleep stages during the current epoch of the sleep session.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 5/369 - Modalités, c. à d. méthodes diagnostiques spécifiques Électroencéphalographie [EEG]
A61B 5/398 - Modalités, c. à d. méthodes diagnostiques spécifiques Électrorétinographie [ERG]
G16H 20/00 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients
G16H 30/00 - TIC spécialement adaptées au maniement ou au traitement d’images médicales
G16H 70/00 - TIC spécialement adaptées au maniement ou au traitement de références médicales
13.
SYSTEMS AND METHODS FOR MODIFYING PRESSURE SETTINGS OF A RESPIRATORY THERAPY SYSTEM
A method of modifying pressure settings of a respiratory therapy system comprises supplying pressurized air at a first pressure to a user during a current sleep session; determining a number and/or type of events experienced by the user during a first portion of the current sleep session; and modifying the pressure settings of the respiratory therapy system during a subsequent sleep session portion in response to the number and/or type of events satisfying a threshold. Modifying the pressure settings can include modifying the first pressure to be a modified first pressure for the subsequent sleep session portion, (ii) modifying a difference in pressure between the first pressure and a second pressure for the subsequent sleep session portion, (iii) modifying a rate of change from the first pressure to the second pressure for the subsequent sleep session portion, or (iv) any combination of (i)-(iii).
Method wherein acoustic data associated with airflow caused by operation of a respiratory therapy system (120), which is configured to supply pressurized air to a user and includes a user interface (400) and a vent, is received (710), and wherein based at least in part on a portion of the received acoustic data, an acoustic signature associated with the vent (720) is determined, so that the user interface, the vent, or both can be identified (730).
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 40/67 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement à distance
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A61M 16/06 - Masques respiratoires ou pour l'anesthésie
A61M 16/20 - Valves spécialement adaptées aux dispositifs respiratoires médicaux
A61M 16/10 - Préparation de gaz ou vapeurs à respirer
15.
SYSTEMS AND METHODS FOR MANAGING BLOOD PRESSURE CONDITIONS OF A USER OF A RESPIRATORY THERAPY SYSTEM
Various implementations of the present disclosure are directed to systems and methods for managing blood pressure conditions of a user of a respiratory therapy system by controlling operational parameters associated with the respiratory therapy system. The method includes receiving cardiovascular data associated with a user of a respiratory therapy system during a sleep session and determining, based at least in part on the received cardiovascular data, a value of a first physiological parameter associated with the user. The method further includes determining whether the value of the first physiological parameter satisfies a first condition and in response to the first physiological parameter satisfying the first condition, determining a modification of an operational parameter associated with the respiratory therapy system.
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
16.
SYSTEM AND METHOD FOR CONTINUOUS ADJUSTMENT OF PERSONALIZED MASK SHAPE
A system and method to match an interface to the face of a user for respiratory therapy. A facial image of the user is stored. Facial features based on the facial image are determined. A database stores facial profiles based on facial features and a corresponding plurality of interfaces. A database stores operational data of respiratory therapy devices with the plurality of corresponding interfaces. A selection engine is coupled to the databases. The selection engine is operative to select an interface for the user from the plurality of corresponding interfaces based on a desired outcome based on the stored operational data and the facial features. The collected data may also be employed to determine whether the selected interface is correctly fitted to the face of the user.
G16H 20/30 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies ou des activités physiques, p.ex. la physiothérapie, l’acupression ou les exercices
G16H 40/40 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion d’équipement ou de dispositifs médicaux, p.ex. pour planifier la maintenance ou les mises à jour
G16H 40/60 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
A61B 5/107 - Mesure de dimensions corporelles, p.ex. la taille du corps entier ou de parties de celui-ci
A61M 16/06 - Masques respiratoires ou pour l'anesthésie
17.
SYSTEMS AND METHODS FOR LEAK DETECTION IN A RESPIRATORY THERAPY SYSTEM
Various implementations of the present disclosure are directed to systems and methods for leak detection in a respiratory therapy system using acoustic data. According to some implementations, a method includes receiving acoustic data associated with airflow caused by operation of a respiratory therapy system during a sleep session of a user. The method also includes analyzing at least a portion of the acoustic data to determine a value of a parameter associated with the at least a portion of the acoustic data. The method further includes determining an occurrence of a leak during the sleep session in response to the determined value of the parameter satisfying a condition.
A method for predicting a subjective comfort level of a user of a respiratory therapy system is disclosed as follows. Data associated with the user of the respiratory therapy system during a therapy session is received. At least one parameter associated with the user is determined based at least in part on a first portion of the received data. A comfort score is determined based at least in part on the determined at least one parameter. The comfort score is indicative of the subjective comfort level of the user of the respiratory therapy system during at least a portion of the therapy session.
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
The disclosure provides methods for diagnosis or prediction of the likelihood of a subject experiencing obstructive sleep apnea, determined at least in part by measuring the degree of tongue fat in a subject using, e.g., thermal imaging, THz imaging or other multispectral imaging.
A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
20.
SYSTEMS AND METHODS FOR DETECTING OCCLUSIONS IN HEADGEAR CONDUITS DURING RESPIRATORY THERAPY
A system and method detects an occlusion in a respiratory therapy system. The system and method includes determining an acoustic signature for a conduit of a headgear user interface. The determined acoustic signature is analyzed to identify an anomaly in the acoustic signature. In response to the determined acoustic signature being identified as anomalous, a determination is made if the identified anomaly relates to an occlusion of the conduit.
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
A61M 16/06 - Masques respiratoires ou pour l'anesthésie
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
21.
SYSTEMS AND METHODS FOR DETECTING RAINOUT IN A RESPIRATORY THERAPY SYSTEM
A method of detecting rainout in a respiratory therapy system that includes a conduit fluidly coupled to a user interface comprises generating, via at least one microphone, acoustic data representative of noise associated with the respiratory therapy system. The method further comprises analyzing the acoustic data to detect a presence of liquid in the respiratory therapy system. The method further comprises causing an action to be performed, based on the detected presence of the liquid.
Certain aspects and features of the present disclosure relate to evaluating the sleep performance of a cohort of multiple individuals sleeping in a shared environment (e.g., a single bed, a single room, a set of adjacent rooms, or a single household). Individual or concerted sleep performance scores can be determined, as well as other sleep performance metrics. The evaluation of sleep performance for the entire cohort can be useful when one of the individuals is being treated (e.g., with a respiratory therapy device) for a sleep-related and/or respiratory disorder. Evaluation of the cohort can help identify actions that can be taken to improve the sleep performance of all individuals in the cohort. In some cases, parameters of a user's therapy device are adjusted based on the monitored sleep performance of another individual in the cohort.
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 50/50 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la simulation ou la modélisation des troubles médicaux
23.
SYSTEMS AND METHODS FOR IDENTIFYING USER BODY POSITION DURING RESPIRATORY THERAPY
A system for identifying a body position of a user of a respiratory therapy system includes a sensor, a memory, and a control system. The sensor is configured to generate airflow data associated with the user. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions to receive the airflow data associated with the user during a sleep session. The control system is further configured to determine one or more features associated with the airflow data, and identify the body position of the user during a first portion of the sleep session based at least in part on the determined one or more features. The control system is further configured to cause an action to be performed based at least in part on the identified body position of the user.
A61B 5/0205 - Evaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p.ex. de l'état cardiaque et respiratoire
A61B 5/1455 - Mesure des caractéristiques du sang in vivo, p.ex. de la concentration des gaz dans le sang, de la valeur du pH du sang en utilisant des capteurs optiques, p.ex. des oxymètres à photométrie spectrale
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
24.
SYSTEMS AND METHODS FOR MONITORING A COMFORT LEVEL OF AN INDIVIDUAL
A method includes generating, using one or more sensors, data. The data includes (i) environmental data related to an environment of a user and (ii) physiological data associated with the user during a sleep session. Based at least in part on the physiological data, a comfort score associated with the user during the sleep session is determined. The comfort score is indicative of a comfort level of the user during at least a portion of the sleep session. Based at least in part on the determined comfort score, a setting of one or more devices associated with the environment of the user is adjusted.
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
G16H 40/67 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement à distance
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
Sleep performance scores can be generated for an individual receiving respiratory therapy. Sensor data can be obtained from one or more sensors while the user is sleeping and using a respiratory therapy system. The sensor data can be used to determine one or more usage variables associated with use of the respiratory therapy system, as well as sleep stage information indicative of the stages of sleep undergone by the user while sleeping. A sleep performance score can be calculated using the one or more usage variables and the sleep stage information. In some cases, the sleep stage information can be used to apply weightings to one, some, or all of the one or more usage variables. The sleep performance score can indicate compliance, efficacy, quality, and/or general use of the respiratory therapy system, taking into account the relationship between sleep stage and use of the respiratory therapy system.
A method includes generating acoustic data representative of at least one or more reflections of an acoustic signal. The one or more reflections are indicative of a length and/or a diameter of a conduit coupled to a respiratory therapy device. The method further includes analyzing the acoustic data to determine the length and/or diameter of the conduit. In some cases, analyzing the acoustic data includes determining a resonant frequency of the conduit, and determining the length of the conduit based at least in part on the resonant frequency. In some cases, analyzing the acoustic data includes comparing the acoustic data to predetermined sets of acoustic data that each correspond to a known length and/or diameter of the conduit, and selecting one of the predetermined sets of acoustic data that best matches the generated acoustic data. The selected set of acoustic data corresponds to the length and/or diameter of the conduit.
Airflow parameters (e.g., flow rate and airflow pressure) of airflow generated by a flow generator of a respiratory therapy system can be measured during use and processed to automatically identify user interface and/or conduit identification information. This user interface and/or conduit identification information can be used to adjust settings of the respiratory therapy device, generate notifications (e.g., notifications of a detected change in user interface without concomitant, expected adjustment of settings of the respiratory therapy device), or otherwise facilitate respiratory therapy of the user or of other users. User interface and/or conduit identification information can be indicative of specific characteristics of the user interface and/or conduit (e.g., resonant frequencies, impedance, and the like), a style of the user interface (e.g., a face mask, nasal mask, or nasal pillow) and/or style of conduit, a specific manufacturer, a specific model, or other such identifiable information.
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
G16H 40/60 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux
Automatic adjustment of an oral appliance, such as a mandibular repositioning device, is disclosed. Sensor data can be received from one or more sensors external to a user using the oral appliance. An adjustment associated with the oral appliance is determined using the sensor data, and an action can be taken to facilitate applying the determined adjustment. Such actions can include transmitting a signal to the oral appliance to effect the adjustment (e.g., using an actuator or onboard electrical stimulator), presenting adjustment parameters to help the user manually make the adjustment, activating actuators in an oral appliance storage receptacle the next time the oral appliance is stored, or other such actions. Adjustments can be made dynamically in real-time or asynchronously (e.g., between sleep sessions).
A61F 5/56 - Dispositifs pour prévenir le ronflement
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
29.
SYSTEMS AND METHODS FOR DETERMINING USAGE OF A RESPIRATORY THERAPY SYSTEM
A method includes generating, by a sensor, physiological data associated with a user during a sleep session. The method also includes processing, by an electronic device including one or more processors, the generated physiological data to distinguish between on-therapy data and off-therapy data. The on-therapy data is the generated physiological data while a respiratory therapy system is coupled to the user and supplies pressurized air to an airway of the user. The off-therapy data is the generated physiological data while the respiratory therapy system is not supplying pressurized air to the airway of the user. The method also includes determining, by the electronic device, a sleep measure based at least in part on the off-therapy data.
The present disclosure relates to a method for diagnosing an operational issue in a respiratory therapy system. A command is received, via an external device, to begin diagnosing the operational issue in the respiratory therapy system. One or more sensors of the external device are caused to generate acoustic data, which is indicative of one or more sounds emanating from the respiratory therapy system. At least a portion of the generated acoustic data is analyzed to identify (i) a location of the operational issue in the respiratory therapy system, (ii) one or more causes of the operational issue in the respiratory therapy system, or (iii) both (i) and (ii).
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
A system includes a respiratory therapy system, a memory device, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air, and a user interface coupled to the respiratory therapy device via a conduit to direct the pressurized air to an airway of a user. The memory device stores machine-readable instructions. The control system includes a processor(s) to execute the machine-readable instructions to: generate data, during a current sleep session, associated with a user of a respiratory therapy system; analyze the generated data to determine a value of a first metric that is associated with a sleep disordered breathing (SDB) condition; analyze the generated data to determine a value of a second metric that is associated with a health condition other than the SDB condition; and based at least in part on the determined value of the second metric, cause an action to be performed.
A61B 5/091 - Mesure du volume des gaz inspirés ou expirés, p.ex. pour déterminer la capacité pulmonaire
A61B 5/107 - Mesure de dimensions corporelles, p.ex. la taille du corps entier ou de parties de celui-ci
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/1455 - Mesure des caractéristiques du sang in vivo, p.ex. de la concentration des gaz dans le sang, de la valeur du pH du sang en utilisant des capteurs optiques, p.ex. des oxymètres à photométrie spectrale
A61B 5/318 - Modalités électriques se rapportant au cœur, p.ex. électrocardiographie [ECG]
A method includes receiving first physiological data associated with a user. The method also includes determining a first emotion score associated with the user based at least in part on the first physiological data. The method also includes modifying one or more settings of a respiratory therapy system responsive to determining that the first emotion score satisfies a predetermined condition.
A system includes a respiratory therapy system, a memory, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air and a user interface coupled to the respiratory therapy device via a conduit. The user interface engages the individual and aids in directing the pressurized air to an airway of the individual. The system can be used to cause an acoustic signal to be directed into the airway of the individual, via the conduit and the user interface; generate acoustic data representative of one or more reflections of the acoustic signal caused by a portion of the airway of the individual, an obstruction within the airway of the individual, or both; analyze the acoustic data to determine a value of a parameter associated with the airway of the individual; and cause an action to be performed, based on the determined value of the parameter.
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A61B 5/085 - Mesure de l'impédance des organes respiratoires ou de l'élasticité pulmonaire
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
A61M 11/02 - Pulvérisateurs ou vaporisateurs spécialement destinés à des usages médicaux agissant par pression d'air sur les liquides à pulvériser ou vaporiser
A61M 11/06 - Pulvérisateurs ou vaporisateurs spécialement destinés à des usages médicaux du type injecteur
A61M 16/06 - Masques respiratoires ou pour l'anesthésie
A61M 16/10 - Préparation de gaz ou vapeurs à respirer
34.
SYSTEMS AND METHODS FOR DETERMINING A MASK RECOMMENDATION
A method includes receiving data associated with a user during a sleep session. The received data is analyzed to determine, for a selected timeframe during the sleep session, whether the user is breathing through nostrils of the user. Based at least in part on a result of the analysis, a mask recommendation is communicated.
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
A61M 16/06 - Masques respiratoires ou pour l'anesthésie
35.
SYSTEM AND METHOD TO PROVIDE DUMMY DATA FOR SOURCE ATTRIBUTION FOR PROPRIETARY DATA TRANSMISSION
A system and method for providing a unique signature for proprietary data. The proprietary data may be transmitted to multiple trusted parties. Each of the trusted parties will have proprietary data with a unique signature to that trusted party. The signature allows a user to determine the source of the proprietary data breach via the signature.
The present disclosure relates to a method for determining movement of a user while using a respiratory therapy system is disclosed. Acoustic data associated with the user of the respiratory therapy system is received. The received acoustic data is analyzed. Based at least in part on the analyzed acoustic data, a movement event associated with the user is determined.
A61B 5/0205 - Evaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p.ex. de l'état cardiaque et respiratoire
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
37.
SYSTEMS AND METHODS FOR DETERMINING A HEALTH CONDITION ON A DEVICE LOCAL TO A RESPIRATORY SYSTEM USER
Methods and systems determine health condition(s) from health data of a user of a respiratory system or operational conditions of a respiratory system. The health data or operational data are collected by processing device(s) local to the user. The method and system include analyzing the collected data to make an initial determination of potential health condition(s) associated with the user, or potential operational fault conditions of the respiratory system. In response to determining potential condition(s), a command is transmitted for receipt by a remote server. The command is to provide health assessment module(s) including instructions for analyzing the health data, or operational fault assessment modules including instructions for analyzing the operational data, to further assess the initially determined potential condition(s). Health assessment module(s) or operational fault assessment module(s) are received on the processing device(s), which are updated to store the assessment module(s) as executable instructions for analyzing the health data or the operational data to verify the initial determination.
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 40/63 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement local
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
38.
SYSTEMS AND METHODS FOR GENERATING CUSTOM MESSAGES TO ENCOURAGE A BEHAVIORAL RESPONSE
A method for generating one or more custom messages for a user to aid in encouraging a behavioral response includes receiving physiological data associated with a user during a first time period, the first time period including at least one sleep session. The method further includes determining a first parameter associated with the user based on a first portion of the physiological data. The method further includes determining a second parameter associated with the user based on a second portion of the physiological data. The method further includes generating a custom message based on the determined first parameter and the determined second parameter to aid in encouraging a behavioral response, the custom message including information associated with the determined first parameter and information associated with the determined second parameter. The method further includes causing the custom message to be communicated to the user.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
G16H 40/67 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement à distance
39.
SYSTEMS AND METHODS FOR PRIORITIZING MESSAGES TO ENCOURAGE A BEHAVIORAL RESPONSE
A method includes receiving a first value for each of a plurality of parameters, each of the first values being associated with a user and a first day. The method also includes receiving a second value for each of the plurality of parameters, each of the second values being associated with the user and a second day that is subsequent to the first day. The method also includes determining, for each of the plurality of parameters, a trend indication. The method also includes determining a base weight value for each of the plurality of parameters and multiple pairs of the plurality of parameters. The method also includes causing a message to be communicated to the user that is based at least in part on the determined base weight values.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
G16H 40/67 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement à distance
40.
SYSTEMS AND METHODS FOR MULTI-COMPONENT HEALTH SCORING
Systems and methods for generating and presenting a multi-component health score are disclosed. The health score can be generated from a set of weighted component scores each associated with a particular component being evaluated. Each component score can be generated based on a combination of first physiological data collected during a sleep session, second physiological data collected during a duration adjacent a sleep session, and subjected feedback data associated with the sleep session. Dynamic adjustments of weightings and presentation in a format indicating the contribution of each component to the total health score can facilitate good habits and healthy practices.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
G16H 40/67 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement d’équipement ou de dispositifs médicaux pour le fonctionnement à distance
41.
SYSTEMS AND METHODS FOR COMMUNICATING AN INDICATION OF A SLEEP-RELATED EVENT TO A USER
A method includes data associated with a sleep session of a user, including respiration data associated with the user during at least a portion of the sleep session and audio data reproducible as one or more sounds during at least a portion of the sleep session. The method also includes determining a respiration signal associated with the user during the sleep session based, at least in part, on at least a portion of the data. The method also includes identifying an event experienced by the user during the sleep session based, at least in part on, at least a portion of the data. The method also includes causing to be communicated to the user via a user device a graphical representation of a portion of the respiration signal and an event indication that aids in identifying the identified event within the graphical representation of the portion of the respiration signal.
Systems and methods are disclosed for categorizing and/or characterizing a user interface. The systems and methods include generating acoustic data associated with an acoustic reflection of an acoustic signal, the acoustic reflection being indicative of, at least in part, one or more features of a user interface coupled to a respiratory therapy device via a conduit. The systems and methods further include analyzing the generated acoustic data. The systems and methods further include categorizing and/or characterizing the user interface based, at least in part, on the analyzed acoustic data.
A method and system to determine the water level of a humidifier for a respiratory therapy device is disclosed. The respiratory therapy device includes a sound generator (6010) producing acoustic signals. The device includes a flow generator providing air to a patient interface and a humidifier including a water reservoir (5110) operable to humidify the air provided to the patient interface. An acoustic sensor (6014) is operable to sense acoustic signals from the sound generator that have travelled through the humidifier. A controller (6020) is coupled to the acoustic sensor. The controller is operable to determine the water level in the reservoir from the sensed acoustic signal.
A61M 16/16 - Dispositifs pour humidifier l'air à respirer
A61B 5/097 - Dispositifs pour faciliter la collecte du gaz respiré ou pour le diriger vers ou à travers des dispositions de mesure
G01F 23/00 - Indication ou mesure du niveau des liquides ou des matériaux solides fluents, p.ex. indication en fonction du volume ou indication au moyen d'un signal d'alarme
44.
SYSTEMS AND METHODS FOR IDENTIFYING A USER INTERFACE
The present disclosure relates to a method for identifying a user interface. Flow data associated with air flowing in a respiratory therapy system is received. Acoustic data associated with the respiratory therapy system is received. The received flow data and the received acoustic data are analyzed. Based at least in part on the analysis, a mask type for the user interface is determined.
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
A method includes causing first media content to be displayed on a display device, the first media content including a first prompt to perform a first activity. The method also includes receiving data associated with the user, the data including motion data associated with movement of the user and physiological data associated with the user. The method also includes determining whether the user is performing the first activity based at least in part on the physiological data, the motion data, or both. The method also includes determining a first physiological parameter associated with the user subsequent to the first prompt based at least in part on the physiological data associated with the user. The method also includes determining whether the first physiological parameter exceeds a predetermined threshold.
G16H 20/30 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies ou des activités physiques, p.ex. la physiothérapie, l’acupression ou les exercices
46.
SYSTEMS AND METHODS FOR LOCATING USER INTERFACE LEAK
Detection of unintentional air leaks in a user interface (e.g., mask) of a respiratory therapy system (e.g., a positive air pressure device) is disclosed. One or more sensors (e.g., within a computing device, such as a smartphone) can be moved around relative to the user interface to determine a location and/or intensity of an air leak. The computing device can provide feedback regarding the location and/or intensity of the air leak to facilitate the user locating the air leak, and thus correcting the air leak. In some cases, augmented reality annotations can be overlaid on an image (e.g., live image) of the user wearing the user interface to identify the location of the air leak. The system can automatically detect the type of user interface being used and can provide tailored guidance for reducing the air leaks.
G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A method of predicting an unintentional leak in a respiratory system during a sleep session includes causing, during the sleep session, pressurized air to be delivered from a respiratory device to a user via a conduit coupled to a user interface. The method also includes receiving historical first data associated with pressurized air delivered from the respiratory device during one or more prior sleep sessions; receiving current first data associated with the pressurized air being delivered from the respiratory device during the sleep session; receiving historical second data associated with the user during one or more prior sleep sessions; and receiving, via one or more second sensors, current second data associated with the user during the current sleep session. The method determines, a likelihood that an unintentional leak in the respiratory system will occur within a predetermined amount of time.
Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non- contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.
A61B 5/09 - Mesure du débit respiratoire au moyen d'un élément entraîné en rotation par le flux respiratoire
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 5/0205 - Evaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p.ex. de l'état cardiaque et respiratoire
A61B 5/1455 - Mesure des caractéristiques du sang in vivo, p.ex. de la concentration des gaz dans le sang, de la valeur du pH du sang en utilisant des capteurs optiques, p.ex. des oxymètres à photométrie spectrale
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A61B 5/103 - Dispositifs de mesure pour le contrôle de la forme, du dessin, de la dimension ou du mouvement du corps ou de parties de celui-ci, à des fins de diagnostic
User alertness can be monitored and leveraged while the user is interacting with a computing device, such as a mobile device (e.g., a smartphone or tablet). By monitoring interaction data, an alertness inference of the user can be generated. The interaction data can include biometric data of the user (e.g., blink rate, eye focus, and breathing rate), inertia data of the device (e.g., swaying and orientation), and software-usage data of the device (e.g., button press speed and accuracy, app or action being used, and response times). The alertness inference can be a score measuring a degree of alertness of the user, from a deep sleep through fully alert. The alertness inference can be leveraged to automatically alert presentation of a message (e.g., notification) on the device, such as withholding presentation of the message or presenting it in different fashion (e.g., silently).
A method for analyzing physical features of an individual comprises directing an acoustic signal toward a mouth of the individual, receiving a reflected acoustic signal from the interior of the mouth of the individual, generating a structural profile of at least the interior of the mouth of the individual based at least in part on the reflected acoustic signal, and causing an action to be performed in response to generating the structural profile. The acoustic signal is configured to reflect off at least a portion of the interior of the mouth of the individual. The reflected acoustic signal is indicative of structural characteristics of the mouth of the individual. The structural profile can also be based on image data associated with the exterior of the head and neck of the individual, and image data associated with the interior of the mouth of the individual.
System and methods are disclosed that promote a sleep stage of a user. The systems and methods determine a current sleep stage of a user during a sleep session, with the user using a respiratory therapy system during the sleep session. The systems and methods further predict an undesired sleep stage upcoming for the user during the sleep session based, at least in part, on (i) one or more user parameters, information from one or more previous sleep sessions, or a combination thereof, and (ii) the current sleep stage. The systems and methods adjust one or more control parameters of the respiratory therapy system, of one or more devices in an environment of the user, or of a combination thereof to promote a desired sleep stage of the user, thereby optimizing sleep of the user.
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p.ex. pour analyser les cas antérieurs d’autres patients
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
52.
SYSTEMS AND METHODS FOR ANALYZING SLEEP-RELATED PARAMETERS
A method includes receiving first data associated with a first sleep session of a user (601). The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first data (602). The method also includes receiving second data associated with a second sleep session of the user (605). The method also includes determining a second set of sleep-related parameters associated with the second sleep session of the user based at least in part on the second data (606). The method also includes causing one or more indications associated with the variable condition and the first sleep session, the second sleep session, or both to be communicated to the user (604, 609).
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
53.
SYSTEMS AND METHODS FOR DETECTING REM BEHAVIOR DISORDER
A method for monitoring a sleep session of an individual comprises receiving data associated with a current sleep session of the individual; analyzing at least a portion of the received data to identify one or more sleep stages experienced by the individual during the current sleep session, the one or more sleep stages including a light sleep stage, a deep sleep stage, a typical rapid eye movement (REM) stage, an atypical REM stage, a wake stage, or any combination thereof; and generating a summary of the current sleep session, the summary including (i) a number of atypical REM sleep stages experienced by the individual during the sleep current sleep session, (ii) a time spent in atypical REM sleep stages during the current sleep session, or (iii) both (i) and (ii).
A user interface of a respiratory therapy system includes a strap assembly, a frame, a connector, and a sensor. The strap assembly is positioned about a head of a user when the user wears the user interface. The frame is physically and electrically connected to the strap assembly, and defines an aperture. The connector has a first end portion and second end portion. The first end portion of the connector can be positioned within the aperture of the frame such that the connector is physically and electrically connected to the frame. The sensor is coupled to the strap assembly or the frame such that the sensor abuts a target area of the user when the user wears the user interface.
A system includes an electronic circuit, a memory, and a control system. The electronic circuit is coupled to a conduit. The conduit may be configured to deliver pressurized air. A portion of the electronic circuit has a first electrical property that is configured to change based at least in part on movement of the portion of the electronic circuit. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions. Data associated with the first electrical property of the electronic circuit is received. The received data is analyzed. Based at least in part on the analysis, it is determined that the first electrical property of the electronic circuit has changed. Responsive to the determination that the first electrical property of the electronic circuit has changed, it is determined that the conduit is moving or has moved.
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
A method includes emitting an acoustic signal into an airway of a user. The method further includes, detecting an acoustic reflection of the acoustic signal caused by one or more physical features within the airway of the user. The method also includes analyzing acoustic data associated with the acoustic reflection. The method also further includes characterizing an occurrence of the physical obstruction in the airway of the user. The characterization is based, at least in part, on the analyzed acoustic data. The characterization is indicative of an apnea event or a hypopnea event in the user, wherein the apnea event comprises an obstructive apnea event, a central apnea event or a mixed apnea event, and further distinguishes between the occurrence of the obstructive apnea event, the central apnea event, the mixed apnea event or the hypopnea event in the user.
A system includes a memory device storing machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive initial physiological data associated with a user, determine, based at least in part on initial physiological data, an initial sleepiness level for the user, prompt the user, via an electronic device, to perform a first activity, receive subsequent physiological data associated with the user, determine, based at least in part on the subsequent physiological data, a subsequent sleepiness level for the user, and determine a first activity score based at least in part on the initial sleepiness level and the subsequent sleepiness level, the first activity score being indicative of an effectiveness of the first activity in modifying the sleepiness of the user.
A plurality of flow rate values associated with pressurized air directed to an airway of a user of a respiratory therapy system is received. A plurality of pressure values associated with the pressurized air directed to the airway of the user is received. A first time associated with a first breath of the user and a second time associated with a second breath of the user are identified. The plurality of flow rate values is filtered based at least in part on the identified first time and the identified second time. The filtering produces a subset of the plurality of flow rate values. An intentional leak characteristic curve for the respiratory therapy system is determined using at least two of the subset of the plurality of flow rate values and the corresponding pressure values for said at least two of the subset of the plurality of flow rate values.
A method includes (i) receiving data associated with a user during a sleep session; (ii) determining an alertness level of the user using a machine learning model that takes as input the received data; and (iii) generating a response to be communicated to the user based at least in part on the determined alertness level. The data associated with the user can be received from a respiratory therapy device configured to supply pressurized air to an airway of the user by way of a user interface coupled to the respiratory therapy device via a conduit, a sensor, or both the respiratory therapy device and the sensor.
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
61.
SYSTEMS AND METHODS FOR REDUCING INSOMNIA-RELATED SYMPTOMS
A system includes a memory storing a user profile for a user of the system and machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive physiological data associated with the user during a sleep session, determine, based at least in part on the received physiological data, a set of sleep-related parameters for the sleep session, subsequent to the sleep session, select one of the set of sleep-related parameters as a targeted parameter, the selection of the targeted parameter being based at least in part on the stored user profile, the set of sleep-related parameters, or both, and cause information to be communicated to the user via a user device, the information being indicative of the targeted parameter, a recommendation associated with improving the targeted parameter for the user in one or more subsequent sleep sessions, or both.
G16H 10/20 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des essais ou des questionnaires cliniques électroniques
A61M 21/00 - Autres dispositifs ou méthodes pour amener un changement dans l'état de conscience; Dispositifs pour provoquer ou arrêter le sommeil par des moyens mécaniques, optiques ou acoustiques, p.ex. pour mettre en état d'hypnose
G16H 20/30 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies ou des activités physiques, p.ex. la physiothérapie, l’acupression ou les exercices
G16H 20/70 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mentales, p.ex. la thérapie psychologique ou le training autogène
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
62.
SLEEP STATUS DETECTION FOR APNEA-HYPOPNEA INDEX CALCULATION
Devices, systems, and methods are disclosed. The devices, systems, and methods detect one or more parameters with respect to movement of a user, cardiac activity of the user, audio associated with the user, or a combination thereof during a sleep session of the user; process the one or more parameters to determine a sleep status of the user, the sleep status being at least one of awake, asleep, or a sleep stage; and calculate an apnea-hypopnea index for the user during the sleep session based, at least in part, on the sleep status.
A method of analyzing data related to use of a respiratory therapy system by a user comprises receiving a first type of data, determining a first value of a first parameter based at least in part on the first type of data, identifying a desired second type of data, transmitting a request for consent to receive the second type of data, and determining, based at least in part on the second type of data, a second value of the first parameter, a value of a second parameter, or both. The first type of data and the first parameter are related to the user's use of the respiratory therapy system. The identification of the second type of data is based at least in part on the first type of data, the first value of the first parameter, an accuracy of the first value of the first parameter, or any combination thereof.
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
The present disclosure relates to a method for determining a mouth leak status associated with a user of a respiratory device is disclosed. Airflow data associated with the user of the respiratory device is received. The respiratory device is configured to supply pressurized air to an airway of the user during a therapy session. The airflow data includes pressure data. The airflow data associated with the user is analyzed. Based at least in part on the analysis, the mouth leak status associated with the user is determined. The mouth leak status is indicative of whether or not air is leaking from a mouth of the user.
A method includes receiving first physiological data associated with a user during a first sleep session. The method also includes receiving second physiological data associated with the user subsequent to the first sleep session and prior to a second sleep session. The method also includes determining a recommended bedtime for the user for the second sleep session based at least in part on the first physiological data, the second physiological data, or both. The method also includes causing an indication of the recommended bedtime for the second sleep session to be communicated to the user via a user device before the recommended bedtime.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 20/70 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mentales, p.ex. la thérapie psychologique ou le training autogène
66.
SYSTEMS AND METHODS FOR GENERATING REMINDERS TO USE RESPIRATORY THERAPY SYSTEMS
A system includes a respiratory therapy device, a sensor, and a control system. The respiratory therapy device supplies pressurized air to an airway of a user during a plurality of sleep sessions. The sensor generates data including current data that is associated with a current sleep session of the plurality of sleep sessions and historical data that is associated with one or more prior sleep sessions of the plurality of sleep sessions. The control system includes one or more processors configured to execute machine-readable instructions to: analyze the historical data to determine a behavior pattern associated with the user; analyze the current data to determine a condition of the user interface in relation to the user; and generate an alarm based at least in part on the behavior pattern associated with the user and the condition of the user interface in relation to the user.
A method includes receiving data associated with a sleep session of a user. The method also includes determining that the user is experiencing or has experienced an event based at least in part on the data. The method also includes causing pressurized air to be directed from a respiratory device to a multi-compartment bladder in response to determining that the user is experiencing or has experienced the event to aid in modifying a position of a head of the user.
A61F 5/37 - Dispositifs pour comprimer le corps ou des parties du corps; Chemises comprimantes
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
A method for canceling noises generated by a respiratory system that is configured to supply pressurized air to a user during a sleep session comprises generating sound data using a microphone; generating, using or one or more sensors, respiration data associated with respiration of the user of the respiratory system; analyzing the sound data to determine if noise associated with operation of the respiratory system is occurring; and causing a speaker to emit sound waves based at least in part on (i) the sound data, (ii) the respiration data, (iii) data related to the operation of the respiratory system, or (iv) any combination of (i), (ii), and (iii), the emitted sound waves being configured to acoustically cancel at least a portion of the noise associated with operation of the respiratory system.
A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.
A method for delivering a substance into an airway of a user via a respiratory system comprises receiving the substance within a receptacle; receiving physiological data; determining one or more sleep-related parameters based on the physiological data; and modifying the delivery of the substance into the airway of the user based at least in part on the one or more sleep-related parameters. The respiratory system includes a respiratory device configured to supply pressurized air to the airway of the user via a conduit and a user interface. The respiratory device, the user interface, and the conduit form an air pathway. The respiratory device is configured to include or engage the receptacle such that an outlet of the receptacle is in direct or indirect fluid communication with the air pathway.
Disclosed are methods, systems, and devices for providing a personalized humidification level. A control system receives, from a first sensor, one or more environmental parameters regarding conditions of the environment. The control system receives, from a second sensor, one or more physiological parameters associated with a user within the environment. The control system determines an action associated with a desired change in the humidity within the environment based, at least in part, on the one or more environmental parameters and the one or more physiological parameters. The control system causes, at least in part, a performance of the action associated with the change in the humidity in the environment based, at least in part, on moisture outputted by a humidifier module. The methods and devices perform the same functionality as the control system.
Method and apparatus obtain information about a patient and / or a respiratory therapy system that is configured to deliver respiratory therapy to the patient. The respiratory therapy system may include a flow generator configured to generate a supply of pressurized air along an air circuit to a patient interface. A sound signal representing a sound in the air circuit may be processed to obtain cepstrum data. A time series of delay estimates based on acoustic signatures of the cepstrum data may be generated. Each acoustic signature may represent a reflection of sound from a patient interface along the air circuit. Variation in the time series of delay estimates may be analysed. One or more output indicators based on the variation may be generated. The one or more output indicators may concern patient and/or system status.
Aspects of the present disclosure provide that data associated with a sleep state of a user is received from a sensor. The received data associated with the sleep state of the user is analyzed. Based at least in part on the analysis, a first current sleep state of the user is generated. Responsive to the determination of the first current sleep state of the user, an operation of one or more electronic devices is caused to be modified.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G08B 21/06 - Alarmes pour assurer la sécurité des personnes indiquant un état de sommeil, p.ex. alarmes contre l'assoupissement
H04N 21/472 - Interface pour utilisateurs finaux pour la requête de contenu, de données additionnelles ou de services; Interface pour utilisateurs finaux pour l'interaction avec le contenu, p.ex. pour la réservation de contenu ou la mise en place de rappels, pour la requête de notification d'événement ou pour la transformation de contenus affichés
74.
SYSTEMS AND METHODS FOR PREDICTING ADOPTION OF A THERAPY
A system for predicting adoption of a prescribed treatment plan by an individual includes a data repository, a memory storing instruction, and a control system to execute the instructions. The data repository is communicatively coupled to a network and includes a plurality of storage devices storing data. The control system receives at least a portion of the data stored in the data repository. The at least a portion of the data is associated with the individual. The control system uses the machine learning adoption prediction algorithm to process the received at least a portion of the data to determine a likelihood that the individual will adopt the prescribed treatment plan. Based at least in part on (i) the prescribed treatment plan and (ii) the determined likelihood that the individual will adopt the prescribed treatment plan, the control system generates a personalized treatment adoption plan for the individual.
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p.ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
A system includes a sensor configured to generate data associated with movements of a resident for a period of time, a memory storing machine-readable instructions, and a control system arranged to provide control signals to one or more electronic devices. The control system also includes one or more processors configured to execute the machine-readable instructions to analyze the generated data associated with the movement of the resident, determine, based at least in part on the analysis, a likelihood for a fall event to occur for the resident within a predetermined amount of time, and responsive to the determination of the likelihood for the fall event satisfying a threshold, cause an operation of the one or more electronic devices to be modified.
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 5/01 - Mesure de la température de parties du corps
A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
A61B 5/103 - Dispositifs de mesure pour le contrôle de la forme, du dessin, de la dimension ou du mouvement du corps ou de parties de celui-ci, à des fins de diagnostic
A method includes receiving, from a first sensor, first physiological data associated with a first sleep session of a user. The method also includes receiving, from a sensor, second physiological data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first physiological data. The method also includes determining a second set of sleep-related parameters associated with the first sleep session of the user based at least in part on the second physiological data. The method also includes calibrating the second sensor based at least in part on a comparison between the first set of sleep-related parameters and the second set of sleep-related parameters.
A system includes one or more sensors one or more sensors configured to generate data associated with a sleep session of a user. The system also includes a multi-compartment bladder configured to be positioned adjacent to a user during the sleep session. The system also includes a memory storing machine-readable instructions. The system also includes a control system including one or more processors configured to execute the machine-readable instructions to determine, based at least in part on the generated data associated with the sleep session, that the user is experiencing or has experienced an event and responsive to determining that the user is experiencing or has experienced the event, cause the multi-compartment bladder to be modified to aid in causing the user to move.
A system includes a respiratory device, a mask, a microphone, a speaker, and a control system. The respiratory device is configured to supply pressurized air. The mask is coupled to the respiratory device and configured to engage a user during a sleep session to aid in directing the supplied pressurized air to the user. The microphone is configured to generate audio data. The speaker is configured to emit sound. The control system is configured to analyze the audio data to determine if noise associated with air leaking from the mask is occurring. Responsive to (i) the analysis resulting in a determination that noise associated with air leaking from the mask is occurring, (ii) the respiratory device determining that air is leaking from the mask, or (iii) both, the speaker is caused to emit the sound to aid in masking the noise associated with the air leaking from the mask.
G10K 11/175 - Procédés ou dispositifs de protection contre le bruit ou les autres ondes acoustiques ou pour amortir ceux-ci, en général utilisant des effets d'interférence; Masquage du son
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A61M 16/06 - Masques respiratoires ou pour l'anesthésie
79.
METHODS AND APPARATUS FOR DETECTION OF DISORDERED BREATHING
Methods and apparatus provide monitoring of a sleep disordered breathing state of a person such as for screening. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) (7304, 7006) may extract respiratory effort signal(s) from one or more motion signals generated by active non- contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of sleep disordered breathing. The processor may generate a sleep disordered breathing indicator based on the measure(s) of sleep disordered breathing. Some versions may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type.
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A system and method for monitoring the health of a patient is disclosed. The system includes a respiratory therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The respiratory therapy device collects operational data and transmits the collected operational data. A health analysis engine is in communication with the respiratory therapy device. The health analysis engine receives the collected data to determine a health condition of the patient based on the collected data. The respiratory therapy device sends either low or high resolution data to the health analysis engine. The high resolution data is transmitted based on the occurrence of an event detected based on the low resolution data.
Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal. The output may control operations or provide an input to any of the entertainment system, navigation system, and vehicle operations control system.
A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
A61B 8/02 - Mesure du pouls ou du rythme cardiaque
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
A61B 5/18 - Dispositifs pour l'exécution des tests de capacité pour conducteurs de véhicules
B60K 28/02 - Dispositifs de sécurité pour la commande des ensembles de propulsion spécialement adaptés aux véhicules ou aménagés dans ceux-ci, p.ex. empêchant l'alimentation en carburant ou l'allumage en cas de danger sensibles à des conditions relatives au conducteur
B60K 28/10 - Dispositifs de sécurité pour la commande des ensembles de propulsion spécialement adaptés aux véhicules ou aménagés dans ceux-ci, p.ex. empêchant l'alimentation en carburant ou l'allumage en cas de danger sensibles à des conditions relatives au véhicule
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
B60W 40/10 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés au mouvement du véhicule
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
B60K 28/04 - Dispositifs de sécurité pour la commande des ensembles de propulsion spécialement adaptés aux véhicules ou aménagés dans ceux-ci, p.ex. empêchant l'alimentation en carburant ou l'allumage en cas de danger sensibles à des conditions relatives au conducteur sensibles à la présence ou à l'absence de conducteur, p.ex. au poids ou à l'absence de poids
G01C 21/26 - Navigation; Instruments de navigation non prévus dans les groupes spécialement adaptés pour la navigation dans un réseau routier
G08B 21/02 - Alarmes pour assurer la sécurité des personnes
A61M 21/00 - Autres dispositifs ou méthodes pour amener un changement dans l'état de conscience; Dispositifs pour provoquer ou arrêter le sommeil par des moyens mécaniques, optiques ou acoustiques, p.ex. pour mettre en état d'hypnose
82.
APPARATUS, SYSTEM, AND METHOD FOR HEALTH AND MEDICAL SENSING
Methods and devices provide physiological movement detection, such as breathing, cardiac and/or gross body motion, with active sound generation using electronic processing device(s). The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique. The sound signal may be produced as a dual tone frequency modulation continuous wave signal. Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/ prediction, and other output parameters.
Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.
Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and/or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies(e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
A physiology motion sensor 10 employs digital and analog circuit components to improve detection operations. The sensor utilizes a combination of digital and analog components that may be configured to implement radio frequency motion sensing. The circuit components may be configured to improve performance and decrease complexity of the sensor. Example sensors may transmit and receive reflected radio frequency signals to detect physiological characteristics of a living subject in the presence of one or more noise sources with an integrated micro controller and output data concerning detected motion to an integrated user interface (e.g., touch screen display). The sensor may be configured with dynamic range gating to substantially simultaneously detect physiological characteristics from multiple subjects in different ranges during a common sensing session.
G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques
G01S 13/534 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses utilisant la transmission de trains discontinus d'ondes modulées par impulsions basée sur le décalage de phase ou de fréquence résultant du mouvement des objets, avec référence aux signaux transmis, p.ex. MTI cohérent basée sur le décalage de phase ou de fréquence résultant du mouvement des objets, avec référence au signal d'écho des parasites environnants, p.ex. MTI non cohérent, MTI avec référence aux parasites, MTI à cohérence externe
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
86.
NON-CONTACT DIAGNOSIS AND MONITORING OF SLEEP DISORDERS
A sensor may be configured to detect periodic limb movement in a sleeping person. The sensor may be a non-contact sensor, such as a radar motion sensor. The sensor may include a radio frequency transmitter for emitting radio frequency signals toward the person. The sensor may include a receiver for receiving reflected ones of the emitted radio frequency signals and processing the reflected ones of the emitted radio frequency signals to produce motion signal(s). A processor, such as one integrated with or coupled to the sensor, may evaluate the motion signals, such as in-phase and quadrature motion signals, and generate an indicator to identify occurrence of periodic limb movement in the motion signals based on the evaluation of the motion signals.
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
87.
SYSTEMS AND METHODS FOR MONITORING AND MANAGEMENT OF CHRONIC DISEASE
Systems and methods assist with managing a chronic disease of a user such as a chronic respiratory or cardiac disease. The system may include a physiological monitor adapted to be carried by the user and operative to sense a physiological parameter of the user by generating one or more signals. The system may include a management device operatively coupled with the physiological monitor to receive the signal(s) and derive the physiological parameter(s) of the user. The management device, such as with an included processor, may be configured to analyze the physiological and/or environmental parameters to detect a trigger pattern of the parameters, the trigger pattern indicative of a probable event of exacerbation of the chronic respiratory and/or cardiac condition. The management device may then generate automated responses based on the trigger pattern such as by providing instructions for activities and/or treatment for the chronic condition.
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux
A61B 5/0205 - Evaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p.ex. de l'état cardiaque et respiratoire
A digitally implemented radio frequency sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses under control of a microcontroller. The received pulses may be processed by the microcontroller to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. The microcontroller may be configured to generate timing pulses such as with a pulse generator for transmission of radio frequency sensing pulses. The microprocessor may sample received signals, such as in phase and quadrature phase analogue signals, to implement digital demodulation and baseband filtering of the received signals.
A61B 5/0205 - Evaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p.ex. de l'état cardiaque et respiratoire
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
H03B 5/18 - Elément déterminant la fréquence comportant inductance et capacité réparties
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G01S 13/18 - Systèmes pour mesurer la distance uniquement utilisant la transmission de trains discontinus d'ondes modulées par impulsions utilisant des fenêtres en distance
G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
Methods and apparatus detect events of sleep disordered breathing from an input audio signal such as from a sound sensor. A processor may be configured to receive the audio signal that represents sounds of a user during a period of sleep. The processor determines reliable respiration epochs from the audio, such as on a frame- by-frame basis, that include periods of audible breathing and/or snoring. The processor detects presence of a sleep disordered breathing events, such as hypopnea, apnea, apnea snoring or modulated breathing, in the reliable respiration epoch(s) and generates output to indicate the detected event(s). Optionally, the apparatus may serve as a cost-effective screening device such as when implemented as a processor control application for a mobile processing device (e.g., mobile phone or tablet).
One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.
G01S 7/41 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cible; Signature de cible; Surface équivalente de cible
G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques
G01S 13/87 - Combinaisons de plusieurs systèmes radar, p.ex. d'un radar primaire et d'un radar secondaire
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
Radio frequency motion sensors may be configured for operation in a common vicinity so as to reduce interference. In some versions, interference may be reduced by timing and/or frequency synchronization. In some versions, a master radio frequency motion sensor may transmit a first radio frequency (RF) signal. A slave radio frequency motion sensor may determine a second radio frequency signal which minimizes interference with the first RF frequency. In some versions, interference may be reduced with additional transmission adjustments such as pulse width reduction or frequency and/or timing dithering differences. In some versions, apparatus may be configured with multiple sensors in a configuration to emit the radio frequency signals in different directions to mitigate interference between emitted pulses from the radio frequency motion sensors.
G01S 7/02 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
G01S 7/41 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cible; Signature de cible; Surface équivalente de cible
G01S 13/87 - Combinaisons de plusieurs systèmes radar, p.ex. d'un radar primaire et d'un radar secondaire
G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques
G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
G01S 13/524 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses utilisant la transmission de trains discontinus d'ondes modulées par impulsions basée sur le décalage de phase ou de fréquence résultant du mouvement des objets, avec référence aux signaux transmis, p.ex. MTI cohérent
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
A sensor for motion or gesture sensing may be configured to emit radio frequency signals such as for pulsed range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency signals. The received pulses may be processed by a motion channel and/or a gesture channel. The gesture channel may produce signals for further processing for identification of one or more different motion gestures such as by calculating and evaluating features from one or more of the amplitude, phase and frequency of the output signals of the gesture channel. The sensing apparatus may optionally serve as a monitor for evaluating user activities, such as by counting certain activities. The sensor may optionally serve as a user control interface for many different devices by generating control signal(s) based on the identification of one or more different motion gestures.
G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques
A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio
G01S 13/87 - Combinaisons de plusieurs systèmes radar, p.ex. d'un radar primaire et d'un radar secondaire
A processor based respiratory monitor, such as a cannula coupled with a sensor and processing device, may operate for improving athletic performance through breathing related training. The processing device, which may include smart phone running a software application, may receive respiratory and/or physiological data from a user, such as first respiratory data representing breaths of the user and/or activity data associating the first respiratory data with activities of the athletic pastime performed by the user. Based on the received information, the processor may determine an optimized breathing pattern such as for a particular athletic activity. The processor may control a generation of output cues, such as visual, audio and/or tactile feedback, so as to assist the user to breathe in accordance with the optimized breathing pattern.
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p.ex. tremblement de la tête ou des mains ou mobilité d'un membre
A63B 69/00 - Appareils d'entraînement ou appareils destinés à des sports particuliers
A63B 22/00 - Appareils d'exercice spécialement adaptés à l'entraînement du système cardio-vasculaire, pour exercer l'agilité ou la coordination des mouvements
A63B 71/06 - Dispositifs indicateurs ou de marque pour jeux ou joueurs
94.
METHODS AND APPARATUS FOR MONITORING CHRONIC DISEASE
A method and apparatus monitors chronic disease state of a patient. The method may include extracting, in a processor, for each of a plurality of monitoring sessions, a respiratory feature from a respiratory signal indicative of the patient's respiration during the monitoring session, the respiratory signal derived from at least one sensor; and computing, in a processor, a stability measure of the patient for a monitoring session, the stability measure representing an indication of a change point having occurred at the monitoring session in a statistical distribution of the respiratory feature.
A system monitors fatigue of a user. The system (100) may include one or more data sources, such as a non-obtrusive sleep sensor, configured to generate objective sleep measures of the user. The system may also include a fatigue monitoring module, which may be configured to generate an assessment, such as in one or more processors, of the fatigue state of the user based on the data from the one or more data sources.
A61B 5/02 - Mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin; Détermination combinée du pouls, du rythme cardiaque, de la pression sanguine; Evaluation d'un état cardio-vasculaire non prévue ailleurs, p.ex. utilisant la combinaison de techniques prévues dans le présent groupe et des techniques d'électrocardiographie; Sondes cardiaques pour mesurer la pression sanguine
A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.
Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).
A sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor 402 may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses. The received pulses may be processed to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. In some embodiments, the sensor may employ a circuit including a pulse generator configured to generate signal pulses. The circuit may also include a dielectric resonator oscillator configured to generate a radio frequency oscillating signal. A switched oscillation circuit may be coupled to the pulse generator and the dielectric resonator oscillator. The switched circuit may be configured to generate a pulsed radio frequency oscillating signal for emitting the radio frequency pulses.
A61B 5/02 - Mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin; Détermination combinée du pouls, du rythme cardiaque, de la pression sanguine; Evaluation d'un état cardio-vasculaire non prévue ailleurs, p.ex. utilisant la combinaison de techniques prévues dans le présent groupe et des techniques d'électrocardiographie; Sondes cardiaques pour mesurer la pression sanguine
99.
METHOD AND APPARATUS FOR MONITORING CARDIO-PULMONARY HEALTH
Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.
A61B 5/103 - Dispositifs de mesure pour le contrôle de la forme, du dessin, de la dimension ou du mouvement du corps ou de parties de celui-ci, à des fins de diagnostic
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
G08B 21/02 - Alarmes pour assurer la sécurité des personnes
brevets
