A device includes an EMG processing application operable with a processing module to receive an output signal from EMG testing, wherein the output signal represents electrical activity of at least one muscle. The EMG processing application is operable to process the output signal to detect at least one type of waveform of a plurality of types of waveforms from the output signal and display the detected at least one type of waveform.

A device includes an EMG processing application operable with a processing module to receive an output signal from EMG testing, wherein the output signal represents electrical activity of at least one muscle. The EMG processing application is operable to process the output signal to detect at least one type of waveform of a plurality of types of waveforms from the output signal and display the detected at least one type of waveform.

A wearable electronic therapeutic device has one or more biometric detectors each for detecting one or more biometric parameters. The biometric parameters are dependent on at least one physiological change to a patient in response to a therapeutic treatment. A microprocessor receives the one or more biometric parameters and applies probabilistic analysis to determine if at least one physiological change threshold has been exceeded dependent on the probabilistic analysis of the two or more biometric parameters. An activation circuit activates an action depending on the determined exceeded physiological change. The action that is activated can be applying an elcetroceutical treatment in addition or as an alternative to a pharmaceutical treatment.

A microcontroller for recording and storing physiological data includes an analog-to-digital converter for converting analog physiological sensor signals to digital signals, a sample buffer for holding a temporal sequence of the digital signals, a central processing unit (CPU), and a non-volatile memory. The non-volatile memory includes (i) a code storage encoding machine-readable data compression instructions that, when executed by the CPU, control the CPU to (a) transform the temporal sequence of the digital signals to produce transformed physiological data characterized by a set of transformation coefficients and (b) compress the set of transformation coefficients to generate compressed physiological data, and (ii) a data storage configured to contain several different instances of the compressed physiological data respectively associated with several different instances of the temporal sequence of the digital signals.

A microcontroller for recording and storing physiological data includes an analog-to-digital converter for converting analog physiological sensor signals to digital signals, a sample buffer for holding a temporal sequence of the digital signals, a central processing unit (CPU), and a non-volatile memory. The non-volatile memory includes (i) a code storage encoding machine-readable data compression instructions that, when executed by the CPU, control the CPU to (a) transform the temporal sequence of the digital signals to produce transformed physiological data characterized by a set of transformation coefficients and (b) compress the set of transformation coefficients to generate compressed physiological data, and (ii) a data storage configured to contain several different instances of the compressed physiological data respectively associated with several different instances of the temporal sequence of the digital signals.

An augmented reality system and method of using the same for real-time assessment of athletic performance is described. The system includes a digital platform, itself including a display, at least one camera, and a communications module. The system further includes a performance monitor carried by a garment and configured to communicate wirelessly with the digital platform, a logic engine, and an interactive user interface, presenting real-time data and images of athletic performance. The real-time data and images include images obtained by the at least one camera and athletic performance data collected via the wearable sensor system. The augmented reality system provides a real-time augmented reality environment combining analysis of performance with live images of a subject of observation.

Aspects of the present disclosure provide methods, apparatuses, and systems for dynamically masking audible breathing noises determined to be generated by one or more sleeping partners. According to aspects, a subject's sleep is protected by detecting audible breathing noises in a sleeping environment, determining the audible breathing noises are not generated by the subject, and mitigating the perception of the audible breathing noises that are determined to originate from another subject, such as a bed partner, pet, etc. The dynamic masking reduces the subject's exposure to unnecessary sounds and reduces the chances of masking sounds disturbing the subject's sleep.

To assist work of checking information by a user when biological information is displayed in a relatively small display area of a portable information terminal. A portable information terminal receives sensor signals corresponding to biological information of a subject from sensors attached to the subject. Waveforms indicating variations with time in biological information of the subject are displayed on a display based on the sensor signals. When a user interface receives a given operation, part of the waveform displayed on the display is designated and a trimmed image of the part of the waveform is displayed on the display.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, sleep disturbing noises are predicted and a biosignal parameter is measured to dynamically mask predicted disturbing environmental noises in the sleeping environment with active attenuation. Environmental noises in a sleeping environment of a subject are detected, input, or predicted based on historical data of the sleeping environment collected over a period of time. The biosignal parameter is used to determine sleep physiology of a subject. Based on the environmental noises in the sleeping environment and the determined sleep physiology, the noises are predicted to be disturbing or non-disturbing noises. For predicted disturbing noises, one or more actions are taken to regulate sleep and avoid sleep disruption by using sound masking prior to or concurrently with the occurrence of the predicted disturbing noises.

This invention is smart clothing which enables human motion capture through combined analysis of data from inertial sensors, strain (or bend) sensors, and electromyographic (EMG) sensors. In a preferred embodiment, a first inertial motion sensor is located proximal to the body joint, a second inertial sensor is located distal to the body joint, two strain sensors span the body joint in different configurations, and an electromyographic (EMG) sensor collects data concerning electromagnetic energy from the muscles which move the body joint.