A functional electrical stimulation system and method is provided, offering coordinated and natural movements for people or animals with motor system damage, which includes: at least one electrical stimulation device delivering electrostimulation signal to form dynamic stimulation curves through at least one stimulation channel by electrodes, at least one main processor, which communicates with a communication unit, with a high voltage generator and with a current controller; at least one sensing device bi-directionally connected to the electrical stimulation device, the sensing device processes and transmits the information to predictively stimulate according to the user needs; and a computational device bi-directionally connected to the electrical stimulation device having computational device with a display screen, a configuration unit and a communication unit allowing information exchange with the electrical stimulation device.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle α from a forward direction.

An activity state analyzer 10 configured to analyze an activity state of a cyclist during cycling includes: a sensor unit (21 to 26, 18) configured to acquire sensor data from a plurality of types of sensors including an acceleration sensor 21 and a gyroscope sensor 22 that are attached to a lower back of the cyclist, and a CPU 11 configured to analyze an activity state of the cyclist during cycling based on a detection output from the plurality of types of sensors of the sensor unit (21 to 26, 18).

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.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.

A treadmill including a frame, an exercise deck attached to the frame, and a first push-up handle attached to the frame and elevated over the exercise deck.

A deck for a treadmill includes a continuous track, and a plurality of slats connected to the track. The track and the plurality of slats at least partly define an inner space of the deck, and are rotatable about the inner space. The deck also includes a first motor configured to modify a speed of rotation of the track, and a second motor configured to modify a position of the deck relative to a support surface on which the deck is supported. The first motor and the second motor are disposed within the inner space.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

This disclosure relates to systems, media, and methods for providing near-instantaneous feedback from real-time motion sensor data. In an embodiment, the system may perform operations including loading at least one target motion trigger. Disclosed embodiments may receive real-time sensor data from the first motion sensor detachably fixed to a user. Additionally, disclosed embodiments may include calculating a motion profile based on the real-time sensor data, the motion profile describing a multi-dimensional representation of acceleration of a motion performed by the user. Disclosed embodiments may also include comparing the at least one target motion trigger to the calculated motion profile to determine if the motion performed by the user corresponds to the target motion. Further, disclose embodiments may include transmitting, based on the comparison, an instruction to provide an alert to a user.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.