A treadmill may include a deck, a first pulley disposed in a first portion of the deck, a second pulley disposed in a second portion of the deck, a tread belt surrounding the first pulley and the second pulley, an upright structure connected to the deck, and a pull cable incorporated into the upright structure.

A wearable device such as a garment is disclosed, having at least one resistance element at a motion segment such as a hip or knee. The garment includes at least one sensor, for sensing a parameter. Electronics are provided for processing the sensed parameter, and for providing feedback. Feedback may be in the form of proprioceptive tactile or audible feedback, or in the form of an adjustment of a performance parameter of the wearable device. In one implementation, resistance to movement of the wearer is adjusted up or down in response to changes in power output by the wearer.

Systems and methods for evaluating the performance of an athlete using a strain gauge is described. In some embodiments, the measurement system comprises a strain gauge and a central processing device. The strain gauge can include a power source, an inertial measurement unit (IMU) comprising a load cell, a microcontroller, and a wireless communication module. The strain gauge can be configured to output strain data at a rate of at least 1 kHz and the central processing device can be configured to receive the strain data transmitted from the wireless communication module.

A therapy device may include one or more sensors for measuring metrics. The measured metrics may include at least one of heart rate, range of motion, muscular activity, blood pressure, temperature, sweat or respiration of a patient that correspond to an exercise. The therapy device may include a communication component to provide the measurements from the one or more sensors to a computing device. The communication component may receive feedback from the computing device based on a comparison of the measured metrics from the one or more sensors to a set of target metrics associated with the exercise. The therapy device may include one or more lights to provide visual feedback associated with the exercise based on the received feedback from the computing device.

A system for controlling a therapeutic device and/or environmental parameters can include one or more body worn sensor devices that detect and report one or more physical, physiological, or biological parameters of a person in an environment. The sensor devices can communicate sensor data indicative of the one or more physical, physiological, or biological parameters of a person to an external hub that processes the data and communicates with the therapeutic device to provide a therapy (e.g., neuromodulation, neurostimulation, or drug delivery) as a function of the sensor data. In some embodiments, the therapeutic device can be implanted in the person. In some embodiments, the therapeutic device can be in contact with the skin of the person. The sensor devices can also communicate to the hub that communicates with one or more devices to change the environment as a function of the sensor data.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

An apparatus for testing and exercising pelvic floor musculature, the apparatus comprising an elongate housing adapted for a pelvic floor aperture. The housing accommodates an oscillator and an accelerometer connected to a signal processor configured for communicating signals representative of values read from the accelerometer. A result is calculated from an applied oscillation and a response measured, and used for characterizing the musculature. In one embodiment the frequency resulting in the greatest response from the musculature is measured, and this frequency is applied during exercise.

Athletic strength training for both development and therapy involves compound athletic movements, like those specific to a sport such as throwing a pitch or those at the core of most athletic programs; like the popular powerlifting movements used for general strength training, back squat, bench press, and deadlift. By creation of reference sets from elite athletes ideal biomechanics profiles for these compound movements may be created. Thus establishing both a profile for assessing target athletes through a personal analysis as well as to prescribe training for target athletes. This reduces injury risks during development and athletic performance, accelerates strength development, and allows novel therapeutic approaches to injuries.

Systems and methods for evaluating the performance of an athlete using a strain gauge is described. In some embodiments, the measurement system comprises a strain gauge and a central processing device. The strain gauge can include a power source, an inertial measurement unit (IMU) comprising a load cell, a microcontroller, and a wireless communication module. The strain gauge can be configured to output strain data at a rate of at least 1 kHz and the central processing device can be configured to receive the strain data transmitted from the wireless communication module.

Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.