Affordable erehabilitation monitoring platform

Abstract

People who have suffered a motor function disability need to practice appropriate rehabilitation treatments. Motion sensors such as accelerometer and gyroscope in fact are increasingly being embedded in wearable computing devices and can provide a quantitative measure of the human movement for assessment. In this paper, we present a low-cost eRehabilitation platform employing efficient algorithms to provide high accuracy feedback. The provided online rehabilitation service is removing the traditional face-to-face services by using cutting-edge mobile and sensors technologies. It allows doctors to give the patients qualitative feedback and track their progress over time. This system considers the variability in movement speed and accurate angle measurements. To this end, the golden standard pattern collected under physiotherapist supervision is compared with the patient's exercises based on Dynamic Time Warping (DTW) algorithm. The experiments were conducted in a laboratory with different subjects, and results confirm that low-cost MEMS technology achieves an acceptable accuracy level in real-time rehabilitation monitoring. We also address different encountered issues and discuss how to efficiently tackle with them.