DEVELOPMENT OF A TELEREHABILITATION SOLUTION FOR REMOTE MONITORING AND CARE

Abstract

This thesis presents the development of a Telerehabilitation platform that is designed to function satisfactorily under low-bandwidth settings. The platform incorporates an algorithm to adapt the data rate by dynamically changing its video parameters, according to network fluctuations. In addition, the solution makes use of Microsoft's Kinect sensor to employ it as an alternative for existing spatial data extraction tools. The embedded rehabilitation tool in the system includes human body joint extraction methods to measure the linear and angular movements, with the capability to perform standard rehabilitation assessments. The proposed system is designed with designated consultation categories, while incorporating the necessary medical know-how on the user requirements. It also includes an automated data analysis algorithm to quantify the measured data. A third party sensor package is integrated into the developed platform, as an option, to measure essential physiological data, making the Telerehabilitation system more comprehensive in terms of its usability.