The present invention is directed to a device for measuring muscular fatigue through obtaining a signal generated by repetitive motions of a human body. The present invention features a system for measuring movements of one or more muscles of a body of a user in order to track muscular fatigue. The system may comprise an object. The system may further comprise a motion sensor configured to measure signals in response to a stimulation and transmit said signal to a computing device. The stimulation may comprise an action carried out repetitively over an interval of time. The motion sensor is configured to measure a progressive reduction in a signal over the repetitive motions and disposed relative to the one or more muscles of the body of the user. The computing device may be capable of measuring muscular fatigue by measuring parameters of the received signals and generating a muscular fatigue signal.

A play experience system disclosed in the present invention comprises an experience device including a plurality of experience rooms and a plurality of experience instruments provided in each of the plurality of experience rooms for the user to experience the play-type; a sensor device comprising at least one or more sensors being disposed in a predetermined area of each of the plurality of experience instruments; and a processing device configured to receive body composition information and heart rate information of the user and comprehensive measurement information on physical development items of the user from the at least one or more sensors, and to obtain result information on a current level of the physical development items of the user by comparing the received comprehensive measurement information on the physical development items with pre-stored standard information on the physical development items.

Embodiments of the instant invention relate to applying motor learning to promote remyelination following demyelination in a subject having a condition or disease. In certain embodiments, applying motor learning alone or in combination with vagus nerve stimulation (VNS) induces the production of new and preserves surviving oligodendrocytes. In accordance with certain embodiments of the disclosure, motor learning, when properly timed, enhances oligodendrogenesis after injury and recruits mature oligodendrocytes to participate in remyelination through the generation of new myelin sheaths. In other aspects of the disclosure, VNS paired with motor learning enhances remyelination following demyelination.

Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

The present invention relates to a system for neuromuscular rehabilitation of a patient having an affected limb comprising: a feedback member arranged to give real-time visual feedback; a plurality of electrodes arranged to acquire an electric signal corresponding to an intent to move said affected limb; a control unit configured to: perform pattern recognition of said electric signals, wherein at least one feature in said electric signal is used to predict motion intent of said affected limb adjacent to at least one joint, such aggregated motions of said affected limb are predicted; based on output signals from said performed pattern recognition, control said feedback member to perform actions corresponding to said motions, whereby said actions of said feedback member are individually and simultaneously controlled by said patient via said intended motions.

Systems and methods for providing a customized exercise protocol to a computing device of a user. As the user performs the exercise protocol, one or more cameras of the computing device can track the user's movements. The user's movement are assessed to determine if proper form and technique is being used.

The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

A computer system for monitoring a change in a neurodegenerative disease in a user, comprising a writing apparatus comprising a sensor for recording data values indicating the chirographic performance of the user; a storage medium configured to store predetermined relationships associating the change in chirographic performance of the user over time with an indication of the change in the neurodegenerative disease of a user; and a processor connected to the sensor. A computer system for monitoring a change in a neurodegenerative disease in a user, comprising a display for presenting visual content to the user; a sensor for recording data indicating chirographic performance of the user, and intellectual performance of the user; a storage medium configured to store predetermined relationships associating the chirographic and intellectual performance with an indication of the change in the neurodegenerative disease; and a processor connected to both the display and the sensor.

A system and method are disclosed including receiving, from a sensor, motion data captured from a human, the motion data representative of involuntary human motions. In one embodiment, the method includes storing, in a memory, the motion data captured from the human. In one embodiment, the method includes processing the motion data captured by the human to determine a cycle bandwidth of the involuntary human motions across the motion data. In one embodiment, the method includes outputting the cycle bandwidth of the involuntary human motions across the motion data.

An apparatus for performing a remote test of range of motion of a person operating a user device includes a transceiver, a processor, and a display. The transceiver is configured to transmit a link to the user device and to receive motion data from the user device. The processor is configured to calculate in real time, based on the motion data, the position of the user device to enable real-time display to a test provider of the performance of the test and to determine in real time the quality of the test. The display is configured to show in real time a continuous indication of the performance of the test and quality results of the test. A method for performing a remote test of range of motion of a person operating a user device is also described and claimed.