A multiple sensor-fusing based interactive training system, including a posture sensor, a sensing module, a computing module, and a display module, is provided. The posture sensor is configured to sense posture data and myoelectric data related to a training action. The sensing module is configured to output limb torque data according to the posture data, and output muscle group activation time data according to the myoelectric data. The computing module is configured to respectively convert the limb torque data and the muscle group activation time data into a moment-skeleton coordinate system and a muscle strength eigenvalue-skeleton coordinate system according to a skeleton coordinate system, perform fusion calculation, calculate evaluation data based on a result of the fusion calculation, and judge that the training action corresponds to a known exercise action according to the evaluation data. The display module is configured to display the evaluation data and the known exercise action.

Aspects relate to systems, methods, and apparatuses relating to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Described herein are radio frequency (RF) transceivers that act as a relay device to provide communication between a sensor of a medical device (e.g., a medical device implanted within the body) and a peripheral device, such as a smartphone. The medical device may be an intraurethral, intrarectal, or intravaginal device. The sensor of the medical device may be a microelectromechanical (MEM) sensor, such as an accelerometer.

The invention determines an efficiency value (E) denoting preferably the relative period of muscle fibre activity during a recorded period of exercise, and a strength value (S) representing the number of muscle fibres recruited during a movement as part of the exercise or of a muscle contraction, and a temporal value (T) representing the frequency with which muscle fibres are activated repeatedly during exercise, and finally combines the efficiency value (E), the strength value (S) and the temporal value (T) by a linear combination to obtain an index value (ESTi) indicative of the fitness level of the individual. The obtained ESTi Score is useful for assessing the training level of an animal or human individual and the individual's potential for different types of sports and other activity. Also the effect of past training or diet can be assessed, and the possible need for changes in training or diet can be assessed.

Systems and methods are disclosed for assessing tissue function based on vascular disease. One method includes receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's tissue; receiving a patient-specific vascular model generated from patient-specific imaging of at least a portion of a patient's vasculature; receiving an estimate of blood supplied to a portion of the patient-specific anatomic model; and determining a characteristic of the function of the patient's tissue using the estimate of blood supplied to the portion of the patient-specific anatomic model.

The present disclosure provides a device for testing the strength of a human foot. The device includes a substantially planar member having a top surface and a bottom surface. The device also includes a foot-engaging member moveable along the top surface substantially planar member from a first position to a second position. In addition, the device includes a force sensor fixed with respect to the substantially planar member, where the force sensor resists movement between the first position and the second position. Further, the device includes a tension bearing element connecting the foot-engaging member to the force sensor.

An object of the present disclosure is to provide a muscle condition measurement sheet that can quantitatively detect the amplitude and latency of an evoked electromyogram EMG or an evoked mechanomyogram MMG and correctly evaluate the state of activity of a muscle. A pair of stimulating electrodes and all myoelectric detection electrodes come into intimate contact with a body surface of a muscle, appearing on a back surface of an insulating sheet spaced at predetermined intervals; accordingly, the relative position between an electrical stimulation position and the myoelectric detection electrode is fixed and the amplitude and latency of the evoked electromyogram EMG can be quantitatively detected without depending on the stimulation position of an electrical stimulation signal.

Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

A method of analyzing a subject using a dynamo torque analyzer includes recording the force produced during an isometric contraction of the subject with a load cell, processing data associated with the isometric contraction, and calculating and displaying, via a microcomputer of the dynamo torque analyzer, peak torque, and rate of torque development values using the data associated with the isometric contraction. The dynamo torque analyzer calculates and displays the peak torque and rate of torque development values in real time.

To provide a motor function evaluation device and a motor function evaluation method capable of evaluating a motor function of a subject comprehensively and easily. A motor function evaluation device 1 of the present invention includes a measurement base 11, a load measurement unit 14 that measures load change over time of the subject applied to the measurement base 11, and an arithmetic unit 24 that determines a balance ability indicator of the subject determined by the load change over time measured by the load measurement unit 14. The arithmetic unit 24 determines the balance ability indicator from a time interval from when the subject stands up and the load applied to the load measurement unit 14 is maximized until when the load variation is stabilized.