A catheter (200) includes a jacket (110), a chamber (120) and an adjustable material (230). The jacket (110) has a first stiffness and includes an outer surface (112) and an inner surface (114). The chamber (120) is enclosed within the inner surface (114). The adjustable material (230), when adjusted, provides the catheter (200) with a second stiffness which is stiffer than the first stiffness.
A computer-implemented method of providing guidance for a treatment procedure on an occluded vessel, is provided. The method includes: analyzing CT data to determine one or more properties of an occlusion in the vessel; determining, based on the one or more properties, a recommended intravascular treatment device for treating the occluded vessel; and outputting an indication of the recommended intravascular treatment device.
A system and method are provided for reducing radiation exposure in a procedure room using a radiation shield. The method determines first position data indicating a position of a clinician in the procedure room and determines second position data indicating a position of an imaging source of an imaging system in the procedure room. The method further applies a radiation model to estimate a radiation pattern of radiation emitted by the imaging source based on the first position data and the second position data. The method further applies a shield positioning model to predict an optimal position of the radiation shield that minimizes exposure of the at least one clinician to the emitted radiation based on the estimated radiation pattern, the first position data, and the second position data.
The present invention relates to a method, apparatus, and system for secure communication wherein an end device is adapted to: receive a first system information message from or through a first primary station, decode the first system information message and obtaining a "protection field", use the "protection field" to determine the location of "security information", and use "security information" to verify the received message and/or first primary station and/or send a subsequent secure message to the first primary station or a third primary station.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
5.
SYSTEM AND METHOD FOR POSITIONING A SENSOR PATCH ON A USER
A system (10) for positioning a sensor patch on a user is provided, the system comprising a band (20) for creating a pressing force to the sensor patch when the band is stretched, the band comprising a stretchable part (22), and a first marker (25) located on the stretchable part, and a non- stretchable element (30), having a second marker (35), wherein the non-stretchable element (30) is a ribbon, mounted on the band (20) with a connector (55) or an elastic joint (51b) at one end and an elastic joint (51, 51a) at the other end, the ribbon even when taut, permitting the stretching of the band, and wherein a relative position of the first and second marker indicates an amount of stretch of the stretchable part. The user guided by the relative position of the first (25) and second (35) markers may take actions for the stretchable part (22) of the band to reach a desired stretch, which corresponds to a desired pressing force to the sensor patch. A corresponding method (100) for positioning a sensor patch on a user is also provided.
A61B 5/256 - Wearable electrodes, e.g. having straps or bands
G01L 5/04 - Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands
G01L 5/06 - Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands using mechanical means
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
6.
MEDICAL IMAGE ACQUISITION UNIT ASSISTANCE APPARATUS
The present invention relates to a medical image acquisition unit assistance apparatus (10), the apparatus comprising: - at least one sensor (20); and - a processing unit (30); wherein one or more sensors of the at least one sensor is configured to acquire sensor data of a person observing a patient undergoing a medical scan by a medical image acquisition unit; wherein the one or more sensors is configured to provide the acquired sensor data of the person observing the patient undergoing the medical scan to the processing unit; wherein the processing unit is configured to determine a state of the person observing the patient undergoing the medical scan comprising utilization of the acquired sensor data of the person observing the patient undergoing the medical scan; wherein the processing unit is configured to determine an overall state of the patient comprising utilization of the determined state of the person.
A method for retrieving relevant images from an image database based on converting linguistic search criteria into image-based search criteria. User inputs are used to construct a base image from a combination of pre-formed graphical or visual image elements, and an image database is then queried with the base image using image-based searching. The resulting retrieved images may be exported to a user training system for use in training a user using the images.
A system (200) for providing guidance information for an implantable device extraction procedure, is provided. The system includes one or more processors (210) configured to: receive (S 110) attenuation data (110) representing an implantable device (120) in an anatomical region, the attenuation data defining X-ray attenuation within the anatomical region; analyze (S120) the attenuation data (110) to determine an amount of adhesion (130) between the implantable device (120) and a tissue (140) contacting the implantable device; and output (S130) guidance information for the implantable device extraction procedure based on the amount of adhesion (130).
A61B 6/12 - Devices for detecting or locating foreign bodies
A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
A61N 1/05 - Electrodes for implantation or insertion into the body, e.g. heart electrode
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
9.
MAGNETO-MECHANICAL RESONATORS WITH REDUCED MUTUAL ATTRACTION
A system for monitoring and/or diagnosing the transit through the gastro-intestinal tract of a mammal, such as a human is described. The system comprises a micromechanical resonator (MMR) device and a tracking system. The sensing device comprises a casing and a first magnetic object with a permanent magnetic moment, wherein the first magnetic object is coupled to the casing in such a way, that it is configured for oscillating around an equilibrium position when excited by a magnetic or an electromagnetic excitation field and wherein the tracking system comprises at least one coil for generating the magnetic or electromagnetic excitation field configured for detecting the magnetic response field generated by the sensing device.
A computer-implemented method of providing biomechanical plaque data (110) for an interventional device simulation system (100) includes: extracting plaque data from spectral CT data, the plaque data representing a spatial distribution of plaque (140) within a vascular region (130); converting the plaque data into biomechanical plaque data (110), the biomechanical plaque data representing a spatial distribution of a mechanical constraint to apply to an interventional device (150) of the interventional device simulation system (100) in response to a contact between the interventional device (150) and the plaque (140); and outputting the biomechanical plaque data (110).
An input data preprocessor (IDP) and related methods for facilitating image segmentation. The preprocessor may comprise an input port (IN) for receiving an input image to be segmented by an interactive machine learning based segmentor (SEG). A subset specifier (SS) determines, based on the input image, a size specification (b) for an in-image subset. An output interface (OUT) passes the size specification to a user interface (UI) for interaction with the segmentor (SEG). The proposed input data preprocessor (IDP) may preferably be used in interactive segmentation, to reduce the number of iteration cycles.
Proposed concepts aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to the transmitting, receiving and/or communicating medical imaging data for remote real-time examination. In particular, a medical image is encoded (120) with an identifier based on at least part of metadata associated with the medical image. As the medical image and the metadata may have different transmission requirements (i.e. bandwidth, latency, loss, etc.), they are communicated through different communication channels (130, 140). In this way, the medical image and the metadata may be communicated appropriately, while the identifier enables the medical image and the metadata to be matched at a receiver.
An apparatus estimates vital signs of a person from video images with color channels representing a digitization of optical sensor signals. A first detector (203) detects a first image area being a skin area of the person and a second detector (205) detect a second image area corresponding to a different area of the person than the first image area. A determiner (207) determines color channel distributions for pixels of the first image area. A processor (209) provides a skin tone indication and a reference processor (211) provides a reference color channel distribution property for the skin tone. A gain processor (213) determines gains for the optical sensor signals in dependence on a luminance property of the second image area and on a comparison of the reference distribution property and a property of the color channel distributions. A gain controller (215) accordingly controls gain values applied to the optical sensor signals and a vital sign determiner (217) estimates a vital sign property for the person from the images.
An apparatus includes an intraluminal dilator with a flexible elongate member and a balloon. The flexible elongate member can be positioned within a body lumen. The flexible elongate member includes a first diameter. The balloon includes an unexpanded state and an expanded state. In the expanded state, the balloon includes a second diameter larger than the first diameter and a leading edge including a length between a first portion coupled to the flexible elongate member and a second portion with the second diameter. The leading edge extends at an angle between the first diameter and the second diameter. The balloon can engage an anatomical wall along the leading edge as the intraluminal dilator moves through an opening in the anatomical wall to enlarge the opening such that the second portion of the balloon engages the anatomical wall only after the first portion of the balloon has engaged the anatomical wall.
System and related method for medical image processing, comprising an input interface (IN) through which is receivable input data. The input data included spectral input imagery of a part of a vascular system (VS) of a patient (PAT). The spectral input imagery is based on data reconstructable from projection data acquired by a spectral imaging apparatus of the tomographic type, with presence of contrast agent in the part of the vascular system. A predictor module (PM) of the system is configured to predict, based on the input imagery, an increase or decrease in flow caused by presence of contrast agent. An output interface (u-OUT) provides output data indicative of the predicted flow increase or decrease.
An intraluminal device includes a flexible elongate member configured to extend within a body lumen of a patient, and a sensor disposed at a distal region of the flexible elongate member, and is configured obtain intraluminal data associated with the body lumen. A housing at least partially surrounds the sensor. A spacer is located between a portion of the sensor housing and a proximal face of the sensor, and includes: a base; a through-hole extending through the base; a recess disposed distal of the base and surrounded at least partially by a side wall; a plurality of support ledges projecting from the side wall and configured to contact the proximal surface of the sensor; and at least one retention feature extending distally from at least one support ledge of the plurality of support ledges and configured to contact a side surface of the sensor.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 1/05 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances characterised by the image sensor, e.g. camera, being in the distal end portion
17.
PATIENT MONITOR COMPRISING ONE OR MORE UNIVERSAL PORTS
The present invention relates to a patient monitor (10) comprising one or more universal ports (12) each configured to connect a cable having a universal connector (36) fitting into a universal port (12) for providing a measurement signal from a subject (30) to the patient monitor (10), wherein the patient monitor (10) comprises a selection unit (14), a distribution network (16), an analog front end unit (18) and one or more processing units (20).
An intravascular lesion crossing device (10) includes a guidewire support catheter (12) having a guidewire lumen (14) configured to receive an associated guidewire (16) for delivery of a distal end (18) of the guidewire support catheter to an occlusion in a blood vessel; and a helical profile (20) provided at an outer surface of the distal portion of the guidewire support catheter.
A method and system are provided for planning a medical intervention, such as a coronary intervention. At least one image is retrieved, where the image includes at least a portion of a coronary artery. Based on the at least one image, a position and composition of plaque in the coronary artery are determined. A mechanical model of the portion of the coronary artery and the plaque in the coronary artery is generated, and a plurality of potential interventions is simulated in the context of the mechanical model. Following such simulations, an intervention for implementation is selected from the plurality of potential interventions.
Image processing system (SYS) and related method for image-based sliding interface detection. The system comprises an input port (IN) for receiving two medical input images (I1, I2), previously acquired at different times of a patient (PAT) during sliding motion of one anatomical features (AF1, AF2) of the patient against one other of the two anatomical features (AF1, AF2). The sliding motion defines a sliding interface (SI). A sliding motion evaluator (SME) applies a registration algorithm to compute a series of metric maps that are configured to respond to the sliding motion by varying the values of a parameter of the algorithm. A sensitivity analyzer (SA) computes a sensitivity map that represents the variation in the series of metric maps as a function of the values of the said parameter. A sliding interface detector (SD) detects, based on the sensitivity map, an image-based location of a representation of the sliding interface.
G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
G06T 3/00 - Geometric image transformation in the plane of the image
21.
A MEDICAL MICRODEVICE AND REGISTRATION APPARATUS FOR REGISTERING AN ULTRASOUND SYSTEM AND A LOCALIZATION SYSTEM OF THE MICRODEVICE
Disclosed are a medical microdevice, a medical device and a registration apparatus that allow for tracking a medical device in an ultrasound image while maintaining the quality of the ultrasound image. The microdevice comprises a casing and a magneto mechanical resonator. The magneto mechanical resonator comprises at least two magnetic objects providing a permanent magnetic moment. The magneto mechanical resonator is adapted to transduce an external excitation field into a mechanical movement of the at least two magnetic objects relative to each other such that a periodically changing magnetic response field is generated. A pressure sensitive element is arranged such that an external ultrasound signal induces an additional movement of the magnetic objects such that the periodically changing magnetic response field is changed in dependency of the external ultrasound signal.
A61B 34/20 - Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
A61B 17/00 - Surgical instruments, devices or methods, e.g. tourniquets
22.
ACCELERATED SESSION RESUMPTION ON LOAD-BALANCED NETWORK SERVICES
The invention relates to a method and apparatus for increasing likelihood of a device being able to resume a previously established session (e.g., a transport layer security session) with a load-balanced network service (e.g., a cloud service) which may only support load balancing at node level. This can be achieved by maintaining one or more network addresses and valid session tickets (or identifiers) of individual nodes (e.g., servers) of the network service, that were used for previous communication sessions and by selecting a particular node for a subsequent communication session from a list of potential nodes returned by an address lookup (e.g., a domain name system (DNS) lookup), based on its match with one of the one or more network addresses and session tickets or identifiers.
H04L 67/145 - Termination or inactivation of sessions, e.g. event-controlled end of session avoiding end of session, e.g. keep-alive, heartbeats, resumption message or wake-up for inactive or interrupted session
H04L 67/146 - Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
H04L 67/1027 - Persistence of sessions during load balancing
The present invention relates to a medical device movement control apparatus (10), comprising: - an input unit (20); - at least one distance sensor (30); and - a controller (40); wherein the input unit is configured to receive a required location of the medical device; wherein the input unit is configured to provide the required location of the medical device to the controller; wherein the at least one distance sensor is configured to be mounted to a medical device (50) or is configured to be integrated with the medical device; wherein the at least one distance sensor is configured to acquire distance data from the medical device for a plurality of angular directions about the medical device; wherein the at least one distance sensor is configured to provide the distance data for the plurality of angular directions about the medical device to the controller; and wherein the controller is configured to control a movement system (60) of the medical device to move the medical device from an initial location of the medical device to the required location along a route between the initial location and the required location that maintains a distance of at least a guard range distance between the medical device and one or more of objects comprising utilization of distance data for a subset of the plurality of angular directions acquired at a plurality of locations along the route.
The present invention relates to an imaging X-ray source assembly (200) with multiple filaments (FL, FS). The X-ray source assembly comprises a plurality of filaments (FL, FS, FX) configured to emit electrons when a respective current passes through the filament (FL, FS, FX); a filament transformer (T1) configured to transfer electrical energy to the plurality of filaments (FL, FS, FX); a filament driver (FD1) configured to supply electrical energy to the plurality of filaments (FL, FS, FX) via the filament transformer (T1); a plurality of switches (S1, S2, SX) each connected to a respective one of the filaments (FL, FS, FX) and configured to regulate the respective current through the respective filament (FL, FS, FX); and a control unit (CTRL) connected to the plurality of switches (S1, S2, SX) and the filament driver (FD1). The connection between the filament driver (FD1) and the control unit (CTRL) is galvanically isolated. The filament driver (FD1) is configured to provide a filament driver output signal to the control unit (CTRL), and the control unit (CTRL) is configured to control the plurality of switches (S1, S2, SX) by respective switch control signals based on the filament driver output signal.
A method (10) for improving receive sensitivity of a cMUT transducer element (32) by dynamically adjusting the bias volage (20, 26) between the transmit (12) and receive (16) phases of the drive cycle while keeping the cMUT in collapsed operation mode at all times.
A laser catheter assembly (10) includes a laser catheter (12) including a bundle of optical fibers (14); and a coupler (16) attached to a proximal end of the laser catheter. The coupler includes a connector (18) configured to mate with an associated light source; and a holding member (22) secured within the connector and having a through hole (24) positioned at an end of the channel, an end of the proximal portion of the bundle of optical fibers being disposed in the through hole, the through hole having a light input end (26) arranged to receive light from the associated light source when the connector is mated with the associated light source and a flared end (28) opposite the light input end.
A61B 18/24 - Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by applying electromagnetic radiation, e.g. microwaves using laser the beam being directed along or through a flexible conduit, e.g. an optical fibre; Hand-pieces therefor with a catheter
A61B 17/00 - Surgical instruments, devices or methods, e.g. tourniquets
A61B 18/22 - Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by applying electromagnetic radiation, e.g. microwaves using laser the beam being directed along or through a flexible conduit, e.g. an optical fibre; Hand-pieces therefor
A personal care system comprises a personal care device and a cleaning device. The personal care device has a motion sensor, and the cleaning device has a supporting structure for supporting the personal care device in a cleaning position for cleaning the personal care unit, and it used a cleaning device motor. The cleaning device implements a cleaning device cleaning program in response to a user action, and the personal care device implements a corresponding personal care device cleaning program in response to detection of the cleaning device cleaning program from the motion sensor signals.
B26B 19/38 - Clippers or shavers operating with a plurality of cutting edges, e.g. hair clippers, dry shavers - Details of, or accessories for, hair clippers or dry shavers, e.g. housings, casings, grips or guards
A method for tracking patient recovery status following a treatment or consultation. The method is based on capturing sensor data during personal care sessions of a user, and using this to infer user pain information. For example, pain can be inferred from a biological sensor or from patterns in force/motion sensors integrated in the personal care device. The pain data can be converted into a value of a metric for each personal care session, and by trending this metric over time, patient recovery progress can be inferred. A report can be generated based on the trended metric and exported for example to a clinical practitioner.
The present disclosure is related generally to fluid flow systems, and more specifically to systems for accelerating pressure and flow capability in fluid pump systems. The fluid flow systems of the present disclosure are configured to deliver a fluid output that achieves a target pressure within an associated inflatable device within a target duration. In various embodiments, these fluid flow systems comprise a flow pathway including one or more fluid inputs and a fluid output that is connectable to the inflatable device, a first pump, and a second pump connected in series with the first pump. Also provided herein are methods of accelerating pressure and flow capability in fluid pump systems. The systems and methods described herein may find particular application in environments subjected to high magnetic field environments.
A system and method are provided for performing stiffness measurements of an anatomical structure in a patient using ultrasound shear wave elastography. The method includes acquiring multiple elastography frames from ultrasound images of the anatomical structure, where the multiple elastography frames are provided by a cine loop performed by an ultrasound imaging system; automatically identifying a preferred elastography frame of the multiple elastography frames for making stiffness measurements of the anatomical structure; automatically identifying a preferred area of the preferred elastography frame based on confidence; automatically selecting at least one region of interest (ROI) based on stiffness measurements within the preferred area of the preferred elastography frame; and measuring stiffness of the anatomical structure in the at least one ROI.
A61B 8/08 - Detecting organic movements or changes, e.g. tumours, cysts, swellings
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G01S 7/52 - RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - Details of systems according to groups , , of systems according to group
31.
EVALUATION OF ARTIFACT REMOVAL FROM MAGNETIC RESONANCE IMAGES USING NEURAL NETWORKS
Disclosed herein is a medical system (100, 300). The execution of the machine executable instructions (120) causes a computational system (104) to: receive (200) a measured magnetic resonance image (124); calculate (202) a gradient-based saliency map (126) for a first output of an image-to-image neural network (122) with the measured magnetic resonance image as input to the image-to-image neural network, wherein the gradient-based saliency map is calculated using a patch based algorithm with a predetermined patch size; determine (204) an evaluation mapping (130) using at least the gradient-based saliency map; produce (206) a warning signal (134) if the evaluation mapping meets a predetermined criterion; and receive (208) an output image (128) as a second output of the measured image-to-image neural network in response to inputting the measured magnetic resonance image into the image-to-image neural network.
A computed tomography, CT, imaging system (100) includes a rotatable gantry (110), and a component (120). The component (120) is mechanically coupled to the gantry (110), and the gantry is configured to rotate the component around an axis of rotation (130). The component includes a reservoir (140) for containing a fluid, and a chamber (150). The chamber (150) is fluidically coupled to the reservoir (140), and the chamber is configured to receive bubbles (160) or particles (170) in the fluid which are forced radially (180) with respect to the axis of rotation (130) of the gantry (110) as a result of centrifugal forces acting on the fluid during the rotation of the component around the axis of rotation.
A mechanism for detecting the presence/absence of an occlusion of an anatomical cavity by an interventional device, and therefore the presence/absence of a leak around the interventional device within the anatomical cavity. A plurality of electrical measurements between different electrode pairs are obtained, each electrode pair containing a device electrode carried by the interventional device and an external electrode positioned on the subject. The electrical measurements are processed to derive an occlusion indicator.
Provided is an infant feeding equipment-sterilizing apparatus (100). The apparatus comprises a chamber (102, 104) for receiving infant feeding equipment to be steam sterilized. A vent (108) is provided for venting air and/or steam from the chamber, e.g. to atmosphere. A valve assembly (110) restricts venting via the vent during steam sterilizing and allows venting from the chamber via the vent following the steam sterilizing. The venting being allowed following the steam sterilizing may assist to dry the infant feeding equipment following the steam sterilizing. However, by the valve assembly restricting, e.g. blocking, venting from the chamber via the vent during steam sterilizing, more of the steam supplied into the chamber can be retained therein during the steam sterilizing, thereby assisting to make the steam sterilization more energy efficient. Further provided is a chamber wall portion, e.g. lid, for an infant feeding equipment-sterilizing apparatus, and a method for sterilizing infant feeding equipment using such an apparatus.
The invention relates to an electrically conducting wire, the wire (4) being formed as a flexible helix with constant or changing slope, with constant or changing diameter and with straight or curved extension, wherein the wire comprises a superconductor. In this way, a wire is provided that comprises a superconductor and that allows small bending radii, especially lower than 15 cm.
H01F 6/06 - Coils, e.g. winding, insulating, terminating or casing arrangements therefor
H01F 27/30 - Fastening or clamping coils, windings, or parts thereof together; Fastening or mounting coils or windings on core, casing, or other support
The present invention relates to providing cable guidance in an at least partly moving medical appliance. In order to provide a cable connection with less impact on the usability of the medical facility, a cable guidance (10) with a feedthrough movable along a guide rail is provided. The cable guidance comprises a cable duct (12) and a cover arrangement (14). The cable duct is extending along a longitudinal direction (DL) and comprises a cable receiving and guiding space (16). The cable duct is configured to accommodate a cable connection comprising a number of cables. The cover arrangement comprises a floor section (18) for permanently delimiting the cable duct and for forming a floor part (20). A support mechanism (22) is provided comprising a longitudinal support element (24) that is configured to support a cantilevering edge of the floor section in the region of the cable duct. The support element is configured to be partly temporarily displaced to provide a movable passageway (26) from the cable duct to a connection opening.
System (SYS) and related method for image processing, comprising an input interface (IN) to receive input data comprising i) spectral projection imagery of a region of interest including a conduit (CN) for passage of a liquid (CA), the spectral projection imagery obtainable in an imaging procedure by a spectral X-ray imagining apparatus (IA1) with contrast agent (CA) present in the liquid, and ii) additional image data acquirable by a further imaging apparatus (IA2) of the non-ionizing type, the said additional image data representative of 3D information of the conduit. A predictor component (PC) predicts based on the spectral projection imagery and the additional image data, a concentration of contrast agent in the said conduit.
Some embodiments relate to machine learnable image segmentation. An image segmentation model may be applied to a set of input images thus obtaining a corresponding set of segmentation images. Corrected segmentation images obtained from expert judgement may be used to train a further image segmentation model predicting an expected error image.
Proposed is a head component for an oral hygiene product for cleaning teeth by emitting a cleaning fluid. The head component comprises a nozzle configured, in use, to emit a burst of cleaning fluid to the teeth of user via a fluid outlet located at the end of the first nozzle. The nozzle is configured to be moveable by emitting the burst of cleaning fluid to rotate the fluid outlet from a resting position to a different, cleaning position.
A61C 17/02 - Rinsing or air-blowing devices, e.g. using fluid jets
A61C 17/028 - Rinsing or air-blowing devices, e.g. using fluid jets with intermittent liquid flow
A61C 17/36 - Power-driven cleaning or polishing devices with brushes, cushions, cups or the like reciprocating or oscillating driven by electric motor with rinsing means
: A toothbrush has a toothbrush head and a motion sensor integrated into the toothbrush for tracking a location of the toothbrush head. Brushing instructions are provided to a user while they perform tooth brushing, and the instructions are to follow a template brushing routine, which may be a real brushing routine being followed by another person or a virtual brushing routine. Brushing instructions are provided in real time for improving the correspondence between a current location in the template brushing routine and a current tracked location.
A method for obtaining an overall score indicative of the presence of a target pathology of a subject during a medical scan procedure. The method comprises acquiring images during the medical scan procedure and iteratively identifying whether a newly acquired image corresponds to one of a set of pre-determined views. For the newly acquired images which correspond to one of the pre-determined views, a predictive model is selected from a set of predictive models each trained on one or more of the pre-determined views for the target pathology. The selected predictive model is trained on the pre- determined view or multiple predetermined views that have been acquired. The newly acquired image is input into the selected predictive model and an overall score is updated, or generated using the output of the selected predictive model. The overall score is indicative of the presence of the target pathology in the subject.
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
42.
ASSESSING A SUBJECT'S ADHERENE TO A TREATMENT FOR A CONDITION
According to an aspect, there is provided a computer-implemented method (100) for assessing a subject's adherence to a treatment for a condition, the method comprising receiving (102) adherence data indicative of the subject's past adherence to the treatment; receiving (104) medical data indicative of physiological details and a medical history of the subject; determining (106), based on the received adherence data, a non-adherence risk score indicative of a likelihood that the subject will not adhere to the treatment within a defined time period in the future; determining (108), based on the medical data, an adverse event risk score indicative of a likelihood that the subject will experience an adverse medical event; determining (110), based on the non-adherence risk score and the adverse event risk score, a priority classification to be assigned to the subject; and generating (122), based on the priority classification, an instruction signal to be delivered to a recipient.
G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
The invention provides a method for obtaining a measure of user pain at home. The proposed concept is to measure the pain by utilizing sensor data obtained from force and/or motion sensors integrated in a personal care device, e.g. an oral care device, over the course of each of one or more personal care sessions of the user. Patterns in the sensor data, or changes in said patterns, can be used to infer pain information, such as an overall pain level, pain reaction events at certain points during the personal care session and/or at certain locations, or increased sensitivity at certain body areas. This provides a more objective and reliable estimation and monitoring of user oral pain that relying on patient (subjective) reporting of pain.
A face mask comprises a filter portion and a fan module for driving air which passes through the filter portion. A magnetic coupling is used to couple the fan module to the filter portion, The filter portion comprises a recessed area having a base wall, a non-recessed area which extends around the recessed area and a side wall extending between the recessed area and the non-recessed area. The magnetic coupling comprises first and second magnetic parts disposed on opposite faces of the side wall.
Proposed concepts provide schemes, solutions, concepts, designs, methods and systems pertaining to improving the utilization of privacy-sensitive datasets (i.e. increasing security and/or concealment) for training a machine-learning algorithm. In particular, embodiments may address the technical problem of protecting privacy-sensitive datasets while utilizing them as training data in machine-learning applications. Proposed embodiments may therefore help to enable stand-along and federated deep-learning platforms to be executed on private datasets.
A computer-implemented method of providing plaque data (110) for a plaque deposit (120) in a vessel (130), is provided. The method includes: receiving (S110) computed tomography, CT, data (140) representing the vessel (130); generating (S120), from the CT data (140), a cross-sectional representation (150) of the vessel (130) at each of a plurality of positions (A - A', B - B') along the vessel; extracting (S130), from the cross-sectional representations, plaque data (110) comprising at least one measurement of the plaque deposit (120) at the plurality of positions along the vessel; and outputting (S140) a graphical representation of the plaque data (110).
The invention provides an improved measure of fluid responsiveness which is derived based on comparing a ratio between blood velocity and vessel diameter before and after fluid administration.
A method is provided for de-noising data, comprising data of interest and a target correlated noise. The data is input into two models trained on the data of interest and on the target correlated noise separately. The data of interest can thus be estimated from the data and the outputs of the two separate models.
A method (100) for providing a trending visualization for a patient, comprising: (i) receiving (130) first and second ultrasound data of the heart for the patient, wherein the second ultrasound data is obtained at a time later than the first ultrasound data; (ii) analyzing (140) the received first and second ultrasound data to extract, from each, at least: (1) a cardiac output parameter; and (2) a left atrium (LA) index parameter; and (iii) displaying (170), on a display (240), one or more images from the first and/or second ultrasound data together with a trending visualization of the first and second extracted cardiac output parameter and/or the first and second extracted LA index parameter.
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
51.
PATIENT OCCUPANCY DETECTION USING 3D PASSIVE STEREO CAMERA AND POINT CLOUD PROCESSING USING AI/ML ALGORITHMS
The present invention relates to patient occupancy detection. An apparatus is provided for processing data acquired from an area in a healthcare facility, for transfer to a cloud-based processing system for processing at the cloud-based processing system, comprising an input unit, a point cloud data generator, and an output unit. The input unit is configured to receive the data acquired from the area in the healthcare facility that is to be sent to the cloud-based processing system, comprising one or more of video data, image data, and ranging data. The point cloud data generator is configured to process the acquired data to generate point cloud data usable to provide a point cloud rendering of the area in the healthcare facility. The output unit is configured to communicate with a network to transfer the generated point cloud data and corresponding metadata to the cloud-based processing system.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A method is provided for removing reflections from an image. Images of a scene and a geometry of the scene are obtained. For observed pixels in an image, the observed pixels are adapted by identifying corresponding pixels in other images which correspond to the same position in the scene as the observed pixel, identifying light source pixels, corresponding to positions in the scene at which a light source is delivering light to the position in the scene which corresponds to the observed pixel and the corresponding pixels, and analyzing the texture values of the observed pixel, and corresponding pixels, and the light source pixels, to obtain an adapted texture value with reflections removed for the observed pixel.
The present invention relates to routing in lung-related interventions. In order to provide further improved guidance in lung-related interventions, a device (10) for re-routing a planned pathway for an interventional device in lung-related interventions is provided. The device comprises a data input (12), a data storage (14), a data processor (16) and an output interface (18). The data input is configured to provide a current location of the interventional device in relation to the pre-operative 3D model. The data storage is configured to provide a pre-operative 3D model of at least a part of the airways of a subject currently undergoing a lung-related procedure, and to provide at least one 3D model of at least one available interventional device and physical parameters associated with the at least one available interventional device. The data processor is configured to calculate a plurality of pathway candidates from the current location to the target location taking into account the at least one 3D model and the associated physical parameters of the at least one available interventional device upon receiving a triggering signal for re-routing during a lung-related navigation procedure that comprises a pre-procedurally planned pathway to a target location. For the pathway candidates' calculation, the data processor is configured to simulate a plurality of pathway candidates. For the simulating, the data processor is configured to determine device-pathway compatibility of the simulated pathway candidates, and to evaluate the simulated pathway candidates for selection of at least one candidate. The output interface is configured to provide at least one simulated pathway candidate for further navigation of the interventional device.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
A61B 17/00 - Surgical instruments, devices or methods, e.g. tourniquets
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
A reservoir air hose includes a first flexible tube; an adapter and a quick release assembly. The adapter is attached to the first flexible tube and configured to connect the reservoir air hose to a reservoir. The quick release assembly is attached to the first flexible tube and configured to connect the reservoir air hose to a blood pressure cuff. The quick release assembly is configured to connect the reservoir air hose to first blood pressure cuffs of a first subset of sizes and to prevent connection of the reservoir air hose to second blood pressure cuffs of a second subset of sizes distinct from the first subset of sizes.
An apparatus generates a depth map for an image a capture position for the image, and depth maps from at least two depth sense positions. Some depth map pixels are designated as uncertain. A view shift processor (305) applies view shifts to the depth maps from the depth sense positions to the capture position and designates pixels of the view shifted depth maps as uncertain if no certain pixel shifts to the pixel position. A combiner (307) generates a combined depth map for the capture position by combining the view shifted depth maps and designates pixels of the combined depth map as uncertain depth pixels if any pixel used in the combining is designated as an uncertain pixel. A depth map generator (309) generates an output depth map by determining depth values for uncertain pixels based on image values or certain pixels of the combined depth map.
H04N 19/597 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
56.
SYSTEMS AND METHODS FOR AUTOMATIC STATE ESTIMATION OF A CURRENT IMAGING EXAM USING USER ACTIONS ON A CONSOLE SCREEN
A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a method (100) of providing assistance during a medical imaging examination performed using a medical imaging device (2). The method includes acquiring video (17) of the medical imaging examination; determining, using a state machine (40) implemented in the at least one electronic processor, a current state of an imaging examination from the acquired video; and displaying an indication (46) of the determined current state of the imaging examination on an electronic processing device (8).
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
: A control system is provided for controlling a pressure applied by a pressure source of a positive airway pressure support system. A progressive increase is provided in the pressure applied during a fall asleep time period of a user of the system. A pressure modulation is applied during the progressive increase. The modulation is for promoting a target breathing rate of the user,
A method and system for guiding renal stone removal. The method includes steps for facilitating or guiding three stages of the intervention: renal access, stone removal, and a stone-free check. This is facilitated by a method which includes three stages: an intra-operative image guidance phase for obtaining CT-based imagery of the renal area; a renal access guidance phase in which the aforementioned CT-based imagery is used to generate intervention guidance imagery to guide renal access, and a stone-free check phase in which further intra-operative CT images are acquired to check the stone-free status of the patient.
The invention relates to a method of predicting an outcome of a bladder cancer subject, comprising determining or receiving the result of a determination of a gene expression profile comprising gene expression levels, wherein the gene expression levels comprise gene expression levels selected from T-Cell receptor signalling genes selected from the group consisting of: CD2, CD247, CD28, CD3E, CD3G, CD4, CSK, EZR, FYN, LAT, LCK, PAG1, PDE4D, PRKACA, PRKACB, PTPRC, and ZAP70, and/or immune defence response genes selected from the group consisting of: AIM2, APOBEC3A, CIAO1, DDX58, DHX9, IFI16, IFIH1, IFIT1, IFIT3, LRRFIP1, MYD88, OAS1, TLR8, and ZBP1, said gene expression profile being determined in a biological sample obtained from the subject, determining the prediction of the outcome based on the gene expression profile, wherein said prediction is an outcome for the subject.
C12Q 1/6886 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
60.
METHODS AND SYSTEMS FOR PATIENT DISCHARGE OPTIMIZATION USING UPLIFT PROBABILITY
A method (100) for determining a home care uplift probability for a hospitalized patient, comprising: (i) receiving (120) patient data from a medical record database; (ii) extracting (130) an uplift probability feature set from the received patient data; (iii) analyzing (140), at a first time point, the uplift probability feature set by a trained uplift probability algorithm (263) to determine an uplift probability for discharge of the hospitalized patient versus continued hospitalization; (iv) comparing (150) the determined uplift probability to a predetermined uplift probability threshold to determine a recommendation, wherein the recommendation is to keep the hospitalized patient hospitalized when the determined uplift probability is below the predetermined uplift probability threshold, and wherein the recommendation is to discharge the hospitalized patient when the determined uplift probability is above the predetermined uplift probability threshold; and (v) providing (160), via a user interface, the recommendation to a user.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
61.
CEREBRAL EMBOLIC PROTECTION SELECTION METHOD FOR TAVI PROCEDURES
Whether to deploy a cerebral embolic protection (CEP) device is determined by initially retrieving one or more image of at least part of an aorta. The image includes an aortic valve. The image is segmented to identify the aortic valve, an aortic arch, and a plurality of branching blood vessels downstream of the aortic valve. Plaque in a segment of the image at or adjacent the aortic valve is identified, and a vulnerability score associated with the plaque is generated. Dynamics of blood flow in the aortic arch and at least one of the plurality of branching blood vessels is evaluated. It is then determined whether a CEP device should be deployed at least partially based on the vulnerability score. A CEP device is selected at least partially based on the dynamics of blood flow in the aortic arch.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
The invention concerns a computer-implemented method for controlling operation of an X-ray tube (100) with a high voltage generator (200) assembly for spectral imaging with an imaging system (300). The method comprises receiving (S610) a synchronization signal (SYNC), wherein the synchronization signal (SYNC) is timed to detector integration periods. The method further comprises synchronizing (S620), based on the synchronization signal (SYNC), an X-ray tube kVp switching cycles with the detector integration periods, and synchronizing (S630), based on the synchronization signal (SYNC), control of an X-ray tube focal spot size and/or focal spot position with the detector integration periods. In an embodiment of the invention, the synchronization of the detector integration periods with the X-ray tube kVp switching cycles includes triggering control of a tube voltage (HV), and the synchronization of the detector integration periods with the X-ray tube focal spot size and/or focal spot position includes triggering control of a focusing current/voltage (FS).
Provided is a device (100) for expressing milk from a mammalian breast (102). The device comprises a nipple-enclosing wall (104) for interfacing with a nipple-comprising region (106) of the breast to define a chamber (108) between the nipple-enclosing wall and the nipple-comprising region of the breast in which an underpressure is providable. The chamber is, for example, connectable to an underpressure generator for decreasing a pressure in the chamber. The underpressure may assist milk to be expressed from the breast and/or may assist in retaining the interface between the nipple-enclosing wall and the nipple-comprising region. The device comprises an infrasound source (112) for producing infrasound. The infrasound souce comprises a moveable member (114) whose movement produces infrasound. The moveable member has a first side (114A) facing and in fluid communication with the chamber, and a second side (114B) opposite the first side. The second side is outside the chamber. A fluid connection (116) is provided between the chamber and the second side. The fluid connection may provide pressure equalization between the chamber and the second side of the moveable member so that both the first side and the second side of the moveable member experience the underpressure. The fluid connection is nonetheless configured to control fluid communication between the chamber and the second side of the moveable member during the movement of the moveable member and thus the fluid connection assists to control, e.g. enhance, a varying pressure experienced by the breast that is caused by the movement of the moveable member.
Pll , DPl l Pll , DPll Pll , DPll l ) failing to satisfy the acceptance criterion; and output a recommended adjustment to one or more parameters of the mechanical ventilation therapy delivered to the patient.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
A61B 8/08 - Detecting organic movements or changes, e.g. tumours, cysts, swellings
A medical procedure schedule is generated by retrieving a plurality of images at a complexity analysis module. Each image is associated with a corresponding medical procedure, and the medical procedures are to be scheduled. Each image is processed at the complexity analysis module to extract a value for a corresponding complexity metric. A characterization for each medical procedure is generated based at least partially on the complexity metric. A time estimation for each medical procedure is generated based on the characterization. A set of resources available for performing the plurality of medical procedures is determined, including operating rooms and medical teams. At least one operating room and medical team is allocated to each medical procedure, and a schedule is generated based on the time estimation associated with each medical procedure and the allocated operating room and medical team.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
0000 map from the first and second sets of MR signals using a Dixon method. Moreover, the invention relates to an MR system (1) and to a computer program to be run on an MR system (1).
G01R 33/44 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
G01R 33/24 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance for measuring direction or magnitude of magnetic fields or magnetic flux
G01R 33/54 - Signal processing systems, e.g. using pulse sequences
G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
An audio apparatus comprises a receiver (101) arranged to receive a downmix audio signal for a multichannel audio signal and upmix parametric data for upmixing the downmix audio signal. A first artificial neural network (107) generates a set of feature values for the downmix audio signal from samples of the downmix audio signal. A second artificial neural network (109) has input nodes receiving second samples of the downmix audio signal and nodes receiving feature values from the set of feature values. Based on these inputs, the second artificial neural network (109) generates samples of an auxiliary audio signal for the downmix audio signal. A generator (105) generates the multichannel audio signal from the downmix signal and the auxiliary audio signal in dependence on the upmix parametric data. In many embodiments, the operation may be subband based with separate artificial neural networks being used for different subbands.
G10L 19/008 - Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
G10L 19/02 - Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
A method for adaptively scheduling non-invasive blood pressure measurement time intervals based on using a risk model to compute a risk of a patient suffering a pre-defined one or more adverse clinical events, for example within a pre-defined time window, and also based on a clinician risk assessment for a patient.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A system (100A) for updating a medical facility includes a computer, an interface (140) to a communications network (103), and a system memory (102). The computer includes a computer memory (151) that stores instructions and a processor (152) that executes the instructions. The system memory (102) receives and stores information obtained from the medical facility via the interface (140). Based on the processor (152) executing the instructions, the computer is configured to: retrieve, from the system memory (102), the information obtained from the medical facility; apply an artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility; and initiating at least one of maintenance or upgrading for the medical facility based on determining to update the medical facility.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
A wireless power system comprises a power receiver (105) receiving power from a power transmitter (101) which comprises an output resonance circuit comprising a transmitter coil (103) and a capacitor (303). A driver (301) generates a drive signal for the output resonance circuit to generate an inductive power transfer signal. A frequency determiner (313) provides a reduced load sensitivity operating frequency for the drive signal and a frequency controller (311) changes the operating frequency of the drive signal to the reduced load sensitivity operating frequency in response to receiving a load change message from the power receiver. A transmitter (309) transmits a load change acknowledge message to the power receiver (105) to indicate the change of frequency. The frequency controller (311) changes the operating frequency from the reduced load sensitivity operating frequency to a load dependent operating frequency in response to determining that the power receiver (105) has performed the load change.
H02J 50/12 - Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling of the resonant type
H02J 50/80 - Circuit arrangements or systems for wireless supply or distribution of electric power involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
71.
METHODS AND SYSTEMS FOR PREDICTING THE PROBABILITY AND DURATION OF ICU PATIENT VENTILATION
Atallah, Louis Nicolas, C/o Philips International B.V.
Brochini, Ludmila, C/o Philips International B.V.
Amelung, Pamela Jayne, C/o Philips International B.V.
Badawi, Omar, C/o Philips International B.V.
Liu, Xinggang
Abstract
The present disclosure relates to methods and systems for predicting intensive care unit (ICU) ventilation. In certain embodiments, the methods described herein include: providing an ICU ventilation prediction system; obtaining a plurality of records for a patient in an ICU covering at least a first time period; extracting a plurality of different defined ICU prediction features for the patient; analyzing the extracted plurality of different defined ICU prediction features using a trained ICU ventilation prediction model; generating a likelihood of ICU ventilation for the patient, wherein the likelihood of ICU ventilation comprises both (i) a prediction of invasive and/or non- invasive ventilation of the patient in the ICU, and (ii) a predicted duration of invasive and/or non- invasive ventilation of the patient in the ICU; and presenting the generated likelihood of ICU ventilation for the patient via a user interface.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Proposed concepts aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to monitoring medical devices. In particular, usage data of the medical device and other (related) medical devices is gathered. This data is used to learn normal operation values of the medical device. Accordingly, any deviations of the operation of the medical device from the normal operation values and a standard operation policy may be determined. The deviation is then used to generate an operation issue signal (i.e. a user alert, a correction action, etc.). In this way, operation issues may be automatically detected and potentially corrected at an early stage.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G06N 3/04 - Architecture, e.g. interconnection topology
G06Q 10/20 - Administration of product repair or maintenance
73.
METHODS AND SYSTEMS FOR PREDICTING INTENSIVE CARE UNIT MORTALITY
The present disclosure relates to methods and systems for predicting intensive care unit (ICU) mortality. More specifically, the methods and systems for predicting a likelihood of ICU mortality described herein enable robust modeling of ICU mortality that addresses biases in automated data collection, including variations in documentation practices across different units, different hospital systems, and across time. In certain embodiments, the methods described herein include: providing an ICU mortality prediction system; obtaining a plurality of records for a patient in an ICU covering at least a first time period; extracting a plurality of different defined ICU prediction features for the patient; analyzing the extracted plurality of different defined ICU prediction features using a trained ICU mortality prediction model; generating a likelihood ICU mortality for the patient based on the analysis; and presenting the generated likelihood of ICU mortality for the patient via a user interface.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
An audio apparatus comprises a receiver (101) arranged to receive a data signal comprising downmix audio signal for a multichannel audio signal, upmix parametric data for upmixing the downmix audio signal, and set of control data values. An artificial neural network (107) has input nodes receiving second samples of the downmix audio signal and nodes receiving control data values from the set of control data values. Based on these inputs, the artificial neural network (107) generates samples of an auxiliary audio signal for the downmix audio signal. A generator (105) generates the multichannel audio signal from the downmix signal and the auxiliary audio signal in dependence on the upmix parametric data. Another apparatus may generate the set of control data values using another artificial neural network having input nodes receiving a downmix of the multichannel audio signal. In many embodiments, the operation may be subband based with separate artificial neural networks being used for different subbands.
G10L 19/008 - Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
75.
METHODS AND SYSTEMS FOR IMPROVED ITERATIVE DATA EXTRACTION FROM ELECTRONIC HEALTH RECORDS
A method for generating a modified patient cohort, comprising: receiving a plurality of patient records for a plurality of patients; retrieving, from a clinical feature database, a predetermined plurality of features for a clinical diagnosis, condition, or disease; extracting, using the predetermined plurality of features, clinical features from the patient records to generate a clinical feature dataset; generating a feature value table comprising the extracted clinical feature dataset; identifying, based on one of the plurality of clinical diagnoses, conditions, or diseases, a first patient cohort from the feature value table; providing the first patient cohort to the user; receiving a modification request from the user to modify the first patient cohort; modifying, without additional extraction of clinical features, the first patient cohort to generate a modified patient cohort; and providing the modified patient cohort to the user.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A radiation shield is provided for use with an x-ray imaging system. The radiation shield includes multiple interconnected sections formed of radiation shielding material, where at least one section of the multiple interconnected sections is configured to fold and unfold relative to another section of the multiple interconnected sections for changing a coverage area of the multiple interconnected sections, and where at least one section of the multiple interconnected sections includes multiple panels, where at least one panel of the multiple panels is configured to slide relative to another panel of the multiple panels for changing the coverage area of the multiple interconnected sections.
A system for acquiring electrocardiogram (ECG) pulses from a subject, comprising: a virtual ground; and a plurality of measurement nodes connectable to a plurality of corresponding ECG electrodes, wherein the plurality of measurement nodes are connected to the virtual ground, and wherein each measurement node comprises: a voltage-to-frequency converter (VFC) configured to convert an ECG signal from the corresponding ECG electrode to a frequency signal; an optical converter configured to convert the frequency signal from the VFC to an optical signal, and to output the optical signal via an output fiber-optic cable; and a DC power converter configured to receive a modulated optical signal via an input fiber-optic cable, to recover DC power from the modulated optical signal, and to supply the DC power to at least the VFC and the optical converter.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61B 5/301 - Input circuits therefor providing electrical separation, e.g. by using isolating transformers or optocouplers
A61B 5/308 - Input circuits therefor specially adapted for particular uses for electrocardiography [ECG]
A61B 5/33 - Heart-related electrical modalities, e.g. electrocardiography [ECG] specially adapted for cooperation with other devices
78.
MEDICAL VEHICLE AND METHOD FOR OPERATING A MEDICAL VEHICLE
The invention relates to a medical vehicle (1) comprising a base vehicle (2) and a compartment (3). The compartment (3) has a compartment room (5) and a medical imaging system (4) and is a part of the base vehicle (2) or is attached to the base vehicle (2). The medical imaging system (4) comprises at least one rotating component (6). The medical vehicle (1) further comprises a counter-rotating apparatus (7) with at least one rotor (8), wherein the counter-rotating apparatus (7) is configured to be operated such that the sum of the angular momentum of the rotating component(s) (6) and the angular momentum of the counter-rotating apparatus (7) is almost equal to or exactly equal to zero. The invention further relates to a base vehicle (2), a medical imaging system (4) and a method for operating said medical vehicle (1).
G01N 23/046 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
79.
OPTICALLY-POWERED ECG MEASUREMENT NODES AND ECG SENSING NETWORKS
The present disclosure relates to optically-powered electrocardiogram (ECG) measurement nodes, ECG sensing networks comprising one or more ECG measurement nodes, and methods of taking ECG measurements using optically-powered ECG measurement nodes. Each optically- powered, non-conductive ECG measurement node is connectable to an ECG electrode and comprises a set of non-conductive fiber-optic cables, a measurement circuit, and an optical input circuit. The optical input circuit each of ECG measurement node is configured to convert an optical input signal into a DC power output and supply the DC power output to the measurement circuit in order to perform ECG measurements at the ECG measurement node.
An audio apparatus comprises a receiver (101) arranged to receive a data signal comprising downmix audio signal for a multichannel audio signal, upmix parametric data for upmixing the downmix audio signal, and upmix parametric data. A subband generator (103) generates frequency subband signals of the downmix audio signal and a parameter generator (105) generate sets of upmix parameter values. A neural network arrangement (107, 401) comprises a plurality of subband artificial neural networks (107, 401) that receive upmix parameter values as well as samples of at least one frequency subband signal. The subband artificial neural networks (107, 401) generate subband samples for a subband of a frequency subband representation of the multichannel audio signal.
G10L 19/008 - Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
G10L 19/02 - Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
81.
METHODS AND SYSTEMS FOR ANALYZING DIASTOLIC FUNCTION USING ONLY 2D ECHOCARDIOGRAPHIC IMAGES
A method (100) for classifying a patient's diastolic function, comprising: (i) receiving (120), from an ultrasound device (280), a plurality of 2D echocardiographic images of the patient's heart; (ii) analyzing (150), by a trained diastolic function prediction algorithm, the plurality of 2D echocardiographic images of the patient's heart to estimate left ventricular end-diastolic pressure (LVEDP); (iii) classifying (160) the patient's diastolic function as normal or abnormal based on the estimated LVEDP; and (iv) providing (170), to a user via a user interface, an indication of the patient's diastolic function as normal or abnormal.
Provided is an apparatus (100) for determining a soft tissue-related property of a bone constellation from X-ray imaging data. The apparatus (100) comprises a data processor (110) configured to obtain the X-ray imaging data of a region of interest including the bone constellation, and to determine, by utilizing a 3D pose estimation computer model (CM) into which the X-ray imaging data is fed, a pose estimation of the bone constellation, and at least one geometric parameter (d, t, r) defined between bones of the bone constellation, to determine the soft tissue-related property of the bone constellation.
An X-ray tube (110) includes: a vacuum-containing envelope (120), a housing (130), a cooling fluid (140), and an optical sensor (150). The vacuum-containing envelope (120) and the housing (130) are separated by a space, and the space is filled by the cooling fluid (140). The optical sensor (150) is arranged to detect optical arcing radiation (160) passing tangentially around the vacuum-containing envelope through the cooling fluid-filled space, and which optical arcing radiation is generated within the vacuum-containing envelope in response to an arcing event (170).
The invention relates to an apparatus (Rx) for increasing an integrity of signals (S) in a signaling network, each signal comprising a sequence of one or more signal elements. The apparatus comprises an identification unit configured to identify any injection (I) of signal elements into a received signal based on at least one of a) a signal element magnitude variation, b) an inversion of a permutation operation applied to the received signal upon transmission, c) a signal fingerprint, d) a location of the transmitter, and e) an AI/ML, Artificial Intelligence/Machine Learning, model. This allows for a reliable identification of injections of signal elements that are due to the capture effect. In particular, not only overshadow attacks, but also undershadow attacks or other injection attacks can be identified. By processing the received signals based on any identified injections of signal elements, the integrity of signals in the network can be increased.
The present disclosure relates to methods and systems for predicting a length of stay (LOS) for a patient in an intensive care unit (ICU). As described herein, the methods and systems for generating a prediction of ICU LOS present improved performance over existing available predictive models. In certain embodiments, the methods described herein include: providing an ICU LOS prediction system; obtaining a plurality of records for a patient in an ICU covering at least a first time period; extracting a plurality of different defined ICU LOS prediction features for the patient; analyzing the extracted plurality of different defined ICU LOS prediction features using a trained developed ICU LOS prediction model; generating a prediction of ICU LOS for the patient based on the analysis; and presenting the generated prediction of ICU LOS for the patient via a user interface.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
86.
PROVIDING POSE INFORMATION FOR X-RAY PROJECTION IMAGES
1..m1..m1..m) in the segmented X-ray projection image (120), and outputting the pose metric to provide the pose information for the X-ray projection image (120).
A method and system for generating prediction information comprising a predicted measure of treatment pain associated with each of a series of steps to be performed as part of a dental treatment by a dental practitioner. This information can be output as guidance for the practitioner, allowing them to adapt their treatment style or approach for each step to pre-emptively mitigate expected pain.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
A61C 7/00 - Orthodontics, i.e. obtaining or maintaining the desired position of teeth, e.g. by straightening, evening, regulating, separating, or by correcting malocclusions
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A mechanism for registering an anatomical model, generated from location measurements, to a reference anatomical model. A path taken by an interventional device (for which the location measurements are obtained) is determined. The determined path is used to register the anatomical model to the reference anatomical model.
A system and method is provided for determining the breathing rate of a subject. A breathing signal is received, and a derivative of a low-pass filtered version of the breathing signal is taken to obtain a derivative signal. In one example, a slope sum filter is applied to transform the derivative signal, and multiple breath intervals are identified from the transformed signal. Breathing characteristics in the filtered breathing signal are obtained using the transformed signal. Suitable breath intervals are selected based on the breathing characteristics and a breathing rate is calculated based on those selected breath intervals.
The invention relates to a blade mechanism (10) for a fan which comprising a base (1) and a plurality of blades (2) arranged around the base (1), wherein the blades (2) are connected with the base (1). The outer contour of the blade (2) has a raised portion (7) at the distal end away from the base (1), and the blade mechanism (10) has a flow blocking member (3) arranged between at least two adjacent blades (2), the height of the distal end of the flow blocking member (3) away from the base (1) is greater than or equal to the height of the raised portion (7) in a direction perpendicular to the rotation direction of the blade (2). Through the invention, the static pressure of the fan blade is increased, the static pressure-airflow curve of the fan blade is improved, and the performance of the fan blade is improved.
A medical data management system and corresponding method are disclosed. The system may include a first database storing medical data related to a particular person, a second database storing multiple digital twins. Medical data of the first database may be labelled to indicate if it was used to tune a digital twin.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A mechanism for processing one or more laser speckle images. A spatial frequency transform is used to transform the one or more laser speckle images into spatial frequency data. The spatial frequency data is used to define a plurality of blood velocity indicators, which each indicate an amount of blood moving at a particular velocity within an illuminated region of interest.
Disclosed herein is a medical system (100, 300, 400, 500). The execution of machine executable instructions (120) causes a computational system (104) to: receive (200) an input tomographic medical image (126) depicting an anatomical anomaly (800), receive (202) a modified tomographic medical image (126) without the anatomical anomaly in response to inputting the input tomographic medical image into an image processing neural network (122), receive (204) an anatomical segmentation (130) of the modified tomographic medical image in response to inputting the modified tomographic medical image into an image segmentation module (128), wherein the anatomical segmentation divides the modified tomographic medical imaging into multiple anatomical regions, and provide (206) the anatomical segmentation as a segmentation of the input tomographic medical image.
A system and method are provided for performing performance analysis of a type of procedure performed in a medical facility. The method includes providing a procedure log for the medical facility, which stores information logging steps of procedures; providing a predefined event list for the type of procedure; performing NLP on the procedure log to extract keywords respectively associated with the key events in the predefined event list; creating a final list of the extracted keywords respectively associated with the key events in the predefined event list; generating a process workflow for each of the procedures based on the final list of the extracted keywords and the procedure log formatted by a data interface; performing performance analysis of efficiency of performing the type of procedure in the medical facility by calculating time-related matrices and KPIs based on the process workflow; and displaying the performance analysis at a display.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Proposed concepts thus aim to provide schemes, solutions, concept, designs, methods and systems pertaining to estimating a volume of liquid in an at least partially transparent container. This can be achieved by automatically processing an input image of a transparent/translucent container containing liquid in order to obtain a background-modified image, wherein the background image data has been removed or altered. A prediction of the volume of liquid in the container may then be determined by processing the background-modified image with a machine-learning algorithm.
An intraluminal cutting device is provided. The device includes a flexible elongate member configured to be positioned within a body lumen of a patient and a cutting tip assembly positioned at a distal portion of the flexible elongate member, wherein the cutting tip assembly comprises a cam pin, a cam slot, and a blade configured to cut tissue associated with the body lumen. The cam pin is configured to move within the cam slot along a cam path, resulting in rotation and translation of the blade. The cam pin is configured to oscillate along only a portion of the cam path.
According to an aspect, there is provided a computer implemented method performed as part of an ultrasound, US, examination of a target of a subject. The method comprising: i) causing a three- dimensional, 3D, ultrasound probe to obtain a first 2D US image, wherein the first 2D US image is obtained in a first scanning plane of the probe; ii) causing the US probe to obtain one or more other 2D US images in a sub-volume of a 3D field of view of a 3D mode of the US probe surrounding the first scanning plane, wherein the sub-volume has a smaller spanning angle than that of a 3D mode of the probe; and iii) determining whether the target is closer to the first 2D US image or one of the one or more other 2D US images.
An ultrasound imaging system (100) may automatically analyze a pulse wave Doppler spectrogram to determine high quality and low quality cardiac cycles. Based on the determination, the ultrasound imaging system (100) may exclude the low quality cardiac cycle from being used in calculations of parameter measurements such as peak systolic velocity, end diastolic velocity, and resistance index. In some examples, the ultrasound imaging system (100) may provide a visual indication on the display (138) which cardiac cycles were excluded from the measurements.
The present invention relates to guidance in spatial setups of a room in a medical facility. In order to provide improvements for a facilitated work procedure in medical interventions, a device (10) for guidance in spatial setups of a room in a medical facility is provided that comprises a data input (12), a data processor (14) and an output interface (16). The data input is configured to provide procedure data (18) about a current executed medical procedure. The data input is also configured to provide spatial data (20) of at least one of the group of staff and equipment relating to the currently executed medical procedure. The data processor is configured to calculate upcoming physical movement of at least one of the group of the staff and the equipment based on the procedure data and the spatial data procedure data. The data processor is also configured to determine, based on the calculated upcoming physical movement, at least one of the group of equipment movement instructions (22) and staff spatial guidance (24). Further, the output interface is configured to provide at least one of the group of the equipment movement instructions and the staff spatial guidance.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
A61B 34/20 - Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
Three-dimensional image data that includes at least a portion of a spine of a subject is received. The spine of the subject is identified in the three-dimensional image data, and a spline approximating a local curvature along the spine is defined. Multiple volumes of interest (VOIs) are defined, each VOI containing at least a portion of a vertebra of the spine of the subject. Each VOI is defined relative to an adjacent segment of the spline. A fracture in at least one of the VOIs is identified.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
patents
