Digital motion analysis system for rehabilitation using wearable sensors

Abstract

The emergence and improvement of wearable low cost sensors gives way to an improved patient rehabilitation from impairment such as those caused by accidents or stroke. We have developed a digital motion sensing system that uses accelerometers and gyroscopes worn by the patient, and enables the rehab session to be recorded visually using a high-FPS camera. Through collaboration with interns and licensed physical therapists (PTs), we conducted tests using these wearable sensors known as the inertial measurement unit (IMU) side-by-side their norm of using a static universal goniometer (UG). An Android-based portable system was demonstrated that could be used by PTs on the move. We explored the variations of the normal range of motion (ROM) in healthy uninjured individuals, following that the functional ROM is less stringent than the conventional criteria. We can show that using the system the patient can participate in developing their digital medical records, as well as in their own wellness program.