Embodiments of the present application provide a headphone with a biological feature detection function, an interaction system and a biological feature detection method. The headphone includes: a loudspeaker, a microphone, a biological feature detection module, a mode switching module, a first communication module, a control module and a power management module. The control module is configured to detect and determine whether an instruction is received from the smart terminal, and control, according to the instruction received from the smart terminal, the biological feature detection module, the mode switching module, the power management module and the first communication module to work, and further configured to parse the biological feature from the biological feature detection module under control of the instruction received from the smart terminal, and transmit the parsed biological feature to the smart terminal via the first communication module.

A method, system, and computer program for non-invasively monitoring a physiological parameter and providing biofeedback. The method, system, and computer program provide for the non-invasive detection of a physiological parameter by detecting changes in color channel values of a user in a live video feed and presenting biofeedback to the user indicating the relative position of the physiological parameter to an optimal range.

A device for auscultation of sounds generated by a patient having a stethoscope head operatively connected to a sound transference means and a smartphone operatively connected to the sound transference means, wherein the smartphone stores the sounds generated by a patient and displays a graphic representation of the sounds generated by the patient.

A portable system is provided for measuring a ketone, such as an acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding ketone measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user. The application tracks, and generates graphs of, the ketone measurements, and may include various features for facilitating the analysis of the measurements. One such feature compares ketone measurements taken while the user is on a health program to a baseline level determined from pre-program-initiation ketone measurements.

A device for judging state of motion of a user is disposed on multiple carried articles carried by the user. The device includes multiple sensation modules disposed on the multiple carried articles. Each sensation module serves to generate motional state information. The device further includes a first processor. The first processor serves to receive and compare the respective motional state information. In case it is found that both the motional state information have instantaneously changed data, the first processor generates notice information. Accordingly, the device can more precisely judge the state of motion of the user to reduce waste of social resource and increase survival rate in case of an accident.

This document describes automated abdominojugular reflux (AJR) testing. To automate AJR tests, a pressure cuff wrapped around a person's abdomen applies pressure while video of their neck is captured. By way of example, a medical professional wraps a pressure cuff around the person's abdomen and records video of the person's neck using a smartphone, which communicates with the pressure cuff to synchronize the application of pressure with video capture. The video is processed to detect and track the response of jugular venous pulse (JVP), which is compared to AJR test thresholds to determine test results. While determining JVP, and thereby results of AJR tests, from reconstructed videos may not result in data that is as accurate as invasive intra-heart tests, it requires little if any risk to patients and is easy for medical professionals to perform. Further, these techniques enable AJR tests to be performed automatically and without relying on estimates made by skilled medical professionals.

A media-playback device includes: a media-output device that plays media content items; a physiological measurement device programmed to measure at least one physiological measurement of a user of the media-output device; and a physiological control engine configured to: identify a current physiological measurement for the user; and cause the media-output device to modify playback of the media content items based upon the current physiological measurement.

An exemplary embodiment of the present disclosure provides a method of determining stress levels in a user comprising: receiving galvanic skin response (GSR) measurements by a wearable sensor on the user over a period of time; receiving temperature measurements by the wearable sensor on the user over the period of time; determining changes in the temperature over a predetermined threshold in the temperature measurements over the period of time; calibrating the GSR measurements based on the determined changes in temperature over the predetermined threshold; calculating a stress level of the user based on the calibrated GSR measurements; and generating an output indicative of the calculated stress level.

A health tracking system configured to provide activity, nutrition, health, and sleep data to a user. The health tracking system comprises a personal electronic device configured to receive health data obtained by a sensor device and/or manually input by the user and display personal metrics on a display screen. A subjective nutrition rating prompt is also provided to the user, which includes a plurality of simplified nutrition rating options, each of the simplified nutrition rating options providing a subjective nutrition consumption estimate. The personal electronic device is further configured to receive the simplified nutrition rating options input by the user and display nutrition estimate metrics on the display screen.

The present invention relates to an apparatus for measuring the balance ability; postural deviation, reflex and fall risk assessment of a human subject. In particular, the present invention comprises of an elastic support mounted platform with dynamic response to external motion stimuli, a IMU and data analysis software processing device. The dynamic response from the platform also simulates realistic experience in moving over rough terrain with different topography.