A scientifically controlled exercise based on a measurement of maximum voluntary contraction (MVC). A mechanical apparatus includes a sensor, an actuator, and a processor. The apparatus receives a mechanical exertion from a user while the processor receives signals from the sensor and sends signals to the actuator to control the mechanical apparatus. The processor measures a MVC exerted by a user and determines a protocol for the exercise based on the measured MVC. The protocol includes a specified exertion to be performed by a user, the specified force and velocity profile governing the exertion, and a specified sequence of repetitions of the exertion, spaced by rest periods. The protocol includes real-time feedback to the user related to compliance with the protocol. The methodology and equipment described herein provides users a safe and effective means of improving muscular strength or endurance and ameliorating various neurological or physiological conditions.

A method is provided for monitoring and managing muscle activity and soft tissue loading. The method includes providing to a subject a plurality of sensors for measuring muscle activity and soft tissue loading levels; directing the subject to undertake a program of exercise; measuring muscle activity and soft tissue loading during the program of exercise; comparing the measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels for the subject; and alerting the subject if the comparison of measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels indicates that a desirable level of muscle activity and/or soft tissue loading is being exceeded.

Examples of systems, devices, and methods as described in this disclosure include a shoulder motion measurement system comprising a mounting device comprising a receptacle configured to hold an electronic device at a fixed orientation relative to a scapula of a patient, wherein the mounting device comprises one or more structures configured for handling by a user when aligning the shoulder motion measurement system against the patient.

A method and system for measuring tension, pressure, and distance of knee tissue, the system comprising a prosthetic inlay device comprising at least two platform structures, wherein each of the platforms are supported on a scissor arm structure and a coil spring, a force sensing sensor configured beneath each coil spring, and a connector cable coupled to the force sensing sensors.

Apparatus for providing transcutaneous electrical nerve stimulation (TENS) therapy to a user, said apparatus comprising: a housing; an application unit for providing mechanical coupling between the housing and the user's body; a stimulation unit for electrically stimulating at least one nerve of the user; a sensing unit for (i) sensing the user's body movement and body orientation to determine whether the user is in an “out-of-bed” state or a “rest-in-bed” state, and (ii) analyzing the sleep characteristics of the user during the “rest-in-bed” state; and a feedback unit for at least one of (i) providing the user with feedback in response to the analysis of the sleep characteristics of the user, and (ii) modifying the electrical stimulation provided to the user by the stimulation unit in response to the analysis of the sleep characteristics of the user; wherein the sleep characteristics comprise a likelihood measure of the user's sleep quality.

A system that wirelessly integrates actual sports equipment with a computer and the internet to allow players remotely located from one another to play a competitive simulated sports game. An individual player may opt to play solo or practice to improve basic techniques. The system includes motion sensors connected to the player and a motion sensing device, all containing circuits and contact or motion sensors coupled with signal processing and radio frequency transmitter circuitry, thereby wirelessly communicate game performance information to a remote receiver-computer. The computer displays player information and visually simulates and controls a game between two players via the internet, having similar equipment and remotely located from each other. Standard sports equipment may be retrofitted with the sensors and associated circuitry to convert such equipment into “smart equipment” for use with the system. The system employs specially developed computer software to process player performance data, control game play, communicate game information between players, generate and control visual simulations and display player performance information.

An upper body motion measurement system 1 has a plurality of inertia sensor units 2, each of which incorporating an angular velocity sensor 4 and an acceleration sensor 5. The plurality of the inertia sensor units 2 is attached to places that are different from each other on the upper body of a subject P. Based on the detection outputs of the angular velocity sensor 4 and the acceleration sensor 5, the attitude of each of the inertia sensor units 2 is estimated, and the acceleration thereof is further estimated. The angular acceleration of the upper body of the subject P is estimated based on the estimated accelerations of the plurality of the inertia sensor units 2.

A knee brace is provided for monitoring the knee. The knee brace includes a dock for removably receiving a control module. The control module is electrically coupled with the dock when the control module is received in the dock. The knee brace includes a sensor for measuring a physiological state of the wearer. The sensor is electrically coupled to the control module by way of the first conductive path when the control module is received in the dock.

The present invention will provide a measuring device embedded within an elastic garment that will provide detect bodily movement by deforming a conductive material and measuring the change in electrical quantities within the conductive material as it deforms. Furthermore, the present invention will provide a measuring device configured to incorporate machine learning algorithms to estimate physiological, kinematic, dynamic, psychological, physical, biological, or other health parameters based upon the variations in electrical quantities within the conductive material as it deforms. This is accomplished through an elastic textile, a conductive element embedded within the elastic textile, and an electronic device configured to measure electrical quantities of the conductive element. These elements work in conjunction to detect and monitor movement in the human body.

A motion state monitoring system including: a selection unit configured to select one or a plurality of sensors from among a plurality of sensors associated with a plurality of respective body parts of a body of a subject based on one or a plurality of specified motions to be monitored; a calculation processing unit configured to generate a result of a calculation indicating a motion state of the subject based on a result of detection performed by each of the one or plurality of sensors selected by the selection unit; and an output unit configured to output the result of the calculation performed by the calculation processing unit, in which the output unit is further configured to output information about the one or plurality of the body parts of the body of the subject corresponding to the one or plurality of respective sensors selected by the selection unit.