A61B5/389

THERAPY PLATFORM AND METHOD OF USE

Embodiments of a system and/or method can include: a set of weight sensor subsystems associated with the set of users, wherein a weight sensor subsystem of the set of weight sensor subsystems comprises a weight sensor operable to collect a weight dataset for a user, wherein the weight dataset is associated with a physical activity characteristic of the user, and a wireless communication module operable to transmit the weight dataset; and a medical improvement subsystem wirelessly connectable to the set of weight sensor subsystems, wherein the medical improvement subsystem is operable to: assign the user to a user subgroup based on the physical activity characteristic of the user; determine a physical activity metric based on the weight dataset; and promote a therapeutic intervention to the user based on the physical activity metric, where the therapeutic intervention is operable to improve the status of the first user.

DETECTING, ASSESSING AND MANAGING EPILEPSY USING A MULTI-VARIATE, METRIC BASED CLASSIFICATION ANALYSIS
20210401355 · 2021-12-30 · ·

A method for identifying changes in an epilepsy patient's disease state, comprising: receiving at least one body data stream; determining at least one body index from the at least one body data stream; detecting a plurality of seizure events from the at least one body index; determining at least one seizure metric value for each seizure event; performing a first classification analysis of the plurality of seizure events from the at least one seizure metric value; detecting at least one additional seizure event from the at least one determined index; determining at least one seizure metric value for each additional seizure event, performing a second classification analysis of the plurality of seizure events and the at least one additional seizure event based upon the at least one seizure metric value; comparing the results of the first classification analysis and the second classification analysis; and performing a further action.

Information processing apparatus, information processing method, computer-readable medium, and biological signal measurement system

An information processing apparatus includes a display control unit. The display control unit is configured to perform control to display a signal source in a superimposed manner on a plurality of biological tomographic images sliced in a predetermined direction, the signal source corresponding to a part of biological data indicating a temporal change of a biological signal, and initially display, in a display region of a screen of a display unit, a biological tomographic image on which a predetermined signal source is superimposed among the plurality of sliced biological tomographic images.

Information processing apparatus, information processing method, computer-readable medium, and biological signal measurement system

An information processing apparatus includes a display control unit. The display control unit is configured to perform control to display a signal source in a superimposed manner on a plurality of biological tomographic images sliced in a predetermined direction, the signal source corresponding to a part of biological data indicating a temporal change of a biological signal, and initially display, in a display region of a screen of a display unit, a biological tomographic image on which a predetermined signal source is superimposed among the plurality of sliced biological tomographic images.

Passive sensor for wireless detecting of the electric excitation of muscle cells
11207027 · 2021-12-28 · ·

The invention relates to an implantable sensor for detecting an electrical excitation of muscle cells, in particular cardiac muscle cells, wherein it is provided that the sensor comprises a dielectric component and a contact point for contacting muscle cells, which is connected to the dielectric component, so that an electric field in the dielectric component, and correspondingly a capacitance of the dielectric component, change with an electrical excitation of the muscle cells. The invention furthermore relates to a system comprising a sensor and an implant.

Automatic sensor selection
11207014 · 2021-12-28 · ·

Automatic electromyography (EMG) electrode selection for robotic devices is disclosed. A plurality of signals from a corresponding plurality of sensors coupled to a skin of a user is received. For each pair of at least some pairs of the plurality of sensors, a sensor pair signature is generated based on differences in signals that are generated by the respective pair of sensors. Each of the sensor pair signatures is compared to a predetermined sensor pair signature to identify a particular pair of sensors. A signal difference between two signals generated by the particular pair of sensors is subsequently utilized to generate a command to drive a motor.

Automatic sensor selection
11207014 · 2021-12-28 · ·

Automatic electromyography (EMG) electrode selection for robotic devices is disclosed. A plurality of signals from a corresponding plurality of sensors coupled to a skin of a user is received. For each pair of at least some pairs of the plurality of sensors, a sensor pair signature is generated based on differences in signals that are generated by the respective pair of sensors. Each of the sensor pair signatures is compared to a predetermined sensor pair signature to identify a particular pair of sensors. A signal difference between two signals generated by the particular pair of sensors is subsequently utilized to generate a command to drive a motor.

Method and system for monitoring physiological signals/health data, defibrillation, and pacing in the presence of electromagnetic interference
11207028 · 2021-12-28 ·

A system and method adapted for at least one health-related application selected from physiological monitoring, defibrillation, and pacing in the presence of electromagnetic interference (EMI) using the time-domain features of EMI patterns and physiological waveforms. The invention enables EMI detection and identification in a plurality of signals, including various physiological signals, which may contain both physiological information and EMI-generated artifacts. The system utilizes adaptive and versatile modular architecture with a set of modules for various filtering, conditioning, processing, and wireless transmission functions, which can be assembled in different configurations for different settings. In some preferred embodiments, the method and system of this invention are incorporated into (or attached to) an external cardiac defibrillator/monitor or cardiac pacing device. Other preferred embodiments include a wireless monitoring system that provides reliable wireless data transmission during patient table (bed) movement.

Signal transduction device

A device that non-invasively detects objects beneath or around the foot or a foot position and transmits signals which are processed and then output via an output device on a skin surface not affected by a neurological deficit, such as the hands or thighs. This device is suitable for subjects with diabetic neuropathy who have lost sensation in their feet and are at risk of punctures, cuts or other physical damage and at risk of sprains, strains or falls due to lack of an ability to detect objects underfoot and foot position.

A SYSTEM, A METHOD, A COMPUTER PROGRAM PRODUCT AND AN ELECTRIC STIMULATION SIGNAL

The invention relates to a system for preventing and/or reducing muscle spasms and improving postural stability in a patient suffering from muscle spasm and postural instability. The system comprises an electrode configured to be positioned to stimulate a target dorsal root ganglion associated with the muscle spasm and postural instability. The system also comprises a pulse generator provided with an output port connectable to the electrode. The pulse generator includes a processor configured to generate an electric stimulation signal at the electrode while connected. Here, the electric stimulation signal stimulates the dorsal root ganglion with an electric pulse while so positioned. Further, the system comprises a user interface configured to set at least one user-specified parameter of the electric pulse.