A61B5/113

Wearable physiological monitoring system
11957449 · 2024-04-16 · ·

A wearable respiration monitoring system having a transmitter coil that is adapted to generate and transmit multi-frequency AC magnetic fields, two receiver coils adapted to detect variable strengths in two of the AC magnetic fields and generate AC magnetic field strength signals representing anatomical displacements of a monitored subject, and at least one accelerometer that is configured to detect and monitor anatomical positions and movement of the subject, and generate and transmit accelerometer signals representing same. The wearable monitoring system further includes an electronics module that is adapted to receive the AC magnetic field strength signals and accelerometer signals, and determine at least one respiratory disorder as a function of the AC magnetic field strength signals and at least one anatomical position of the subject as a function of the accelerometer signals.

Tracking a Part of a Surface of a Patient's Body Using Thermographic Images
20240115166 · 2024-04-11 ·

A medical image processing method, performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.

Tracking a Part of a Surface of a Patient's Body Using Thermographic Images
20240115166 · 2024-04-11 ·

A medical image processing method, performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.

MATTRESS WITH SENSORS
20240115059 · 2024-04-11 ·

A mattress includes one or more sensors. The sensor(s) may be positioned on a sleep surface of the mattress; for example, at locations where an individual's thorax and/or legs would be positioned when the individual assumes a sleeping position on the sleep surface. The sensor(s) may be positioned adjacent to an edge of the mattress, on the sleep surface or on the edge. A processor may be associated with the sensor(s) of the mattress. The processor may process signals received from the sensor(s) to provide information about the mattress, an individual on the mattress, and/or an environment in which the mattress is located.

ELECTRODE MEMBER, HEAD ORTHOSIS, BODY ORTHOSIS, AND WEAR SET
20240115179 · 2024-04-11 ·

Provided is an electrode member 1 to be attached to a body surface of a user, and includes an adhesion part 2 including a through hole 23 near a center and capable of adhering to a body surface of a user, an electrode 3 inserted into the through hole of the adhesion part, and a first retention part 4A configured to retain a solution for dissolving sebum C, in which a flow channel R including a gap is formed between an inner peripheral surface of the through hole of the adhesion part and the electrode, and the solution for dissolving sebum retained in the first retention part is able to flow out from one end side of the through hole through the flow channel.

SYSTEM AND METHOD FOR CONTACTLESS NON-INTRUSIVE MONITORING OF PHYSIOLOGICAL CONDITIONS THROUGH ACOUSTIC SIGNALS

The present invention discloses a system and method for non-intrusive monitoring and prediction of cardiac function of a user. The system (100) comprises a sensor device (102), a data capturing device (104), a data receiver module (106), an acoustic engine (108) and user devices (110), which communicate by using communication network (112). The sensor device (102) comprises a sensor array to capture micro-vibrations of physiological parameters of a user through a surface/mattress under which the sensor device (102) is positioned. The acoustic engine (108) converts the digital time-based vibration signals into frequency-based acoustic outputs such as physiological condition acoustic signals. Further, the acoustic engine (108) is configured to determine the user's current and future health issues based on the physiological condition acoustic signals. does not require trained medical practitioners to analyze the vibration signal of the user to determine the physiological conditions of the user.

Heart arrhythmia non-invasive treatment device and method
11951327 · 2024-04-09 · ·

The present invention relates to a heart tissue ablation device comprising a charged particle emitting system 1, a control system 2 for instructing the accelerator and beamline when to create the beam and what its required properties should be, a patient positioning and verification system, an ultrasound cardiac imaging system 3 performed on the patient, able to track the target movement, a computer program to determine and record the safe motion margins, the treatment plans for one or more motion phases and a computer program to regulate the control system 2 to load the correct irradiation plan according to the motion phase and if the position of the target is inside of the position margin, the irradiation is enabled and if the position of the target is outside of the position margin, the irradiation is disabled.

Multi-channel ballistocardiography with cepstrum smoothing and quality-based dynamic channel selection

A method for ballistocardiography (BCG) and a BCG system ballistocardiography (BCG) system for heart beat determination are provided. The method includes digitizing a plurality of signals received from a corresponding plurality of sensors, estimating a plurality of smoothed cepstra corresponding to each of the plurality of digitized signals in response to a smoothed cepstrum analysis of a digital signal at a reception time of each of the plurality of digitized signals, and estimating a fused cepstrum for the plurality of digitized signals in response to the plurality of smoothed cepstra. The method further includes determining a heart rate in response to the plurality of smoothed cepstra and the fused cepstrum.

Multi-channel ballistocardiography with cepstrum smoothing and quality-based dynamic channel selection

A method for ballistocardiography (BCG) and a BCG system ballistocardiography (BCG) system for heart beat determination are provided. The method includes digitizing a plurality of signals received from a corresponding plurality of sensors, estimating a plurality of smoothed cepstra corresponding to each of the plurality of digitized signals in response to a smoothed cepstrum analysis of a digital signal at a reception time of each of the plurality of digitized signals, and estimating a fused cepstrum for the plurality of digitized signals in response to the plurality of smoothed cepstra. The method further includes determining a heart rate in response to the plurality of smoothed cepstra and the fused cepstrum.

Video monitoring to detect sleep apnea
10463294 · 2019-11-05 · ·

An example method for detecting a sleep apnea event can include: capturing a plurality of infrared images of an individual breathing; developing a spatial template based upon the infrared images, the spatial template defining at least a normal breathing pattern; using the spatial template to analyze further infrared images of the individual during sleep; and detecting a sleep apnea event using the spatial template and the further infrared images.