Systems and methods for tracking performance are provided. A method includes monitoring a first amplitude of a first muscle activity for a plurality of time. The method includes generating a plurality of measures of neuromuscular work for the plurality of time points using the first amplitude. The method includes determining a plurality of muscle activation quotients for the plurality of time points, using the plurality of measures of neuromuscular work. The method includes defining a plurality of muscle activation zones using the plurality of muscle activation quotients, wherein individual muscle activation zones correspond to ranges of values of the plurality of muscle activation quotients. The method includes generating a visualization of the plurality of muscle activation quotients and the plurality of muscle activation zones for the plurality of time-points. The method also includes outputting the visualization to a display.

A non-invasive detection method and device, and a wearable apparatus for tissue element are provided. The method includes: acquiring, for a detected site of a detected object, a second light intensity measurement value for each predetermined wavelength of at least one predetermined wavelength at a measurement distance, and/or a second light intensity reference value for each predetermined wavelength of at least one predetermined wavelength at a reference distance, wherein the measurement distance is a source-detection distance corresponding to the first light intensity measurement value, and the reference distance is a source-detection distance corresponding to the first light intensity reference value; and determining a concentration of a tissue element to be detected according to the second light intensity measurement value of each predetermined wavelength and/or the second light intensity reference value for each predetermined wavelength.

Various embodiments described herein relate to a wearable device for monitoring health parameters of a patient. According to various embodiments, a wearable device, associated mobile device, or other user device may receive health parameters of the user obtained by at least one sensor configured to sense one or more health parameters from the user; receive an identification of a medical alert to be provided to third parties with respect to the user, persist the identification of the medical alert in a memory of the user device, and repeatedly transmit at least one of the identification of the medical alert and an indication of the availability of the medical alert via a communications interface of the user device configured to communicate wirelessly with nearby reader devices.

Embodiments of the present invention disclose a method for detecting a wearable device, and the wearable device, where the method includes: detecting a value of a distance between the wearable device and a user; determining whether the value of the distance between the wearable device and the user exceeds a preset distance threshold; if the value of the distance between the wearable device and the user does not exceed the preset distance threshold, detecting a body feature value of the user within a preset time period; and if the body feature value of the user does not exceed a preset threshold range of the body feature value of the user, determining that the user has worn the wearable device.

An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

Continuous microfluidic dilatometry devices and methods are provided for activity monitoring with ultra-high sensitivity. Corner flow in capillary channels is used to detect the resistance change in microfluidic circuits filled with ionic liquids. The conversion of mechanical input (e.g. strain) to an intermediary domain, namely liquid displacement, allows a large enhancement in sensor performance. Embodiments are suitable for tracking skin deformations that occur as a result of human movements.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

A fall detection system includes a wearing apparatus for wearing by a user and a processor connected to the wearing apparatus. The wearing apparatus is set with an inertial sensor for detecting user motion data. The processor is connected with the inertial sensor of the wearing apparatus. When the user's fall state is recognized, further obtaining the motion data of the user at the time of the stand by the inertial sensor and comparing the motion data according to a normal posture condition and/or an abnormal posture condition in a database to determine damage severity of the user.

An ECG monitoring system includes two or more active electrodes, each active electrode having an electrode pad fixable to a patient to sense physiological potentials from the patient, a common connection port, and a wireless transmitter. The system further includes a common connector electrically connected to the common connector port of each of the two or more active electrodes to provide a comparator signal to each of the active electrodes. Each of the active electrodes compares the physiological potentials sensed at the electrode pad against the comparator signal to generate a cardiac signal, and then wirelessly transmits the cardiac signal with the wireless transmitter.

In accordance with one embodiment, an automated probe system includes a probe configured to be reversibly inserted into a live body part, a robotic arm attached to the probe and configured to manipulate the probe, a first sensor configured to track movement of the probe during an insertion and a reinsertion of the probe in the live body part, a second sensor configured to track movement of the live body part, and a controller configured to calculate an insertion path of the probe in the live body part based on the tracked movement of the probe during the insertion, and calculate a reinsertion path of the probe based on the calculated insertion path while compensating for the tracked movement of the live body part, and send control commands to the robotic arm to reinsert the probe in the live body part according to the calculated reinsertion path.