A biofeedback rehabilitation display for gait training visible to the subject including a plurality of foot placement targets visible to the subject on the display and moving along the display at a speed proportional to the desired gait speed of the subject and in a direction along the display representative of the direction of locomotion of the subject; a pair of subject foot icons visible to the subject illustrating real-time foot positioning of the subject throughout the gait pattern of the subject, wherein the foot icons distinguish between stance phase and swing phase throughout the gait pattern of the subject; and at least one real-time proximity measurement visible to the subject for each stance phase providing the subject with an indication of the proximity of each stance phase of each foot with an intended foot placement target.

Provided is a biofeedback apparatus using a magnetic stimulator. In the biofeedback apparatus, a tube filled with a non-conductive fluid is disposed between a magnetic stimulator and patient's pelvic floor muscles to measure a change in pressure according to muscle exercise of the pelvic floor muscles, biofeedback is available without insertion of a tool for measurement of a pressure or an EMG (electromyogram) into vagina, urethra, or the like. In the biofeedback apparatus, since driving of the magnetic stimulator and driving of a pressure transducer do not influence each other, a controller can continuously monitor a state of change in pressure of the pelvic floor muscles by using the pressure transducer and, at the same time, can adjust a strength of a magnetic field generated from the magnetic stimulator to an optimal strength according to the monitored state, so that it is possible to maximize the effect of treatment.

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.

A prosthetic component suitable for long-term implantation is provided. The prosthetic component measures a parameter of the muscular-skeletal system is disclosed. The prosthetic component comprises a first structure having at least one support surface, a second structure having at least one feature configured to couple to bone, and at least one sensor. The prosthetic component is a housing for the at least one sensor and electronic circuitry. The electronic circuitry is hermetically sealed from an external environment. The at least one sensor couples to the support surface of the first structure. The support surface of the first structure is compliant. The first and second structure are coupled together housing the at least one sensor and electronic circuitry.

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.

The present disclosure relates to a system and method of detecting activity by a wheelchair user. In one aspect, a method comprises collecting motion data of a user device located on an appendage of the user; detecting, by a processor circuit, that one or more activities by the wheelchair user occurred based on the motion data; calculating, by a processor circuit, an energy expenditure by the user based the one or more activities by the wheelchair user occurred; and outputting, by a processor circuit, the energy expenditure estimation.

The present disclosure relates to a system and method of detecting activity by a wheelchair user. In one aspect, a method comprises collecting motion data of a user device located on an appendage of the user; detecting, by a processor circuit, that one or more activities by the wheelchair user occurred based on the motion data; calculating, by a processor circuit, an energy expenditure by the user based the one or more activities by the wheelchair user occurred; and outputting, by a processor circuit, the energy expenditure estimation.

The present invention is directed to a system for monitoring a physiological parameter of a cyclist, and methods of using the system. The system comprises a garment, a sensor, and a signal processor. The garment is configured to be worn by the cyclist. The sensor is fixedly coupled to the garment and configured to measure a signal representative of the physiological parameter during pedaling. The signal processor is operatively coupled to the sensor and configured to determine a diagnosis based on the measured signal. An alert is generated in response to the diagnosis substantially in real time.

According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.

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.