Internet of Things-Based Telemonitoring System Design for Wrist Rehabilitation

Abstract

Improving health services with a technological approach by remotely providing rehabilitation services is the implementation of telerehabilitation as a part of telemedicine. A device that utilizes Functional Electrical Stimulation combined with a single computer to store rehabilitation data locally has been designed to rehabilitate the wrist region due to monoplegia. Developing a telemonitoring system for a portable FES-based wrist joint movement rehabilitation device is suggested, where rehabilitative information, such as the wrist’s torque and degree of movement in response to the FES stimulus, may be kept in a structured database and shown through a web application. The study’s findings can be utilized to establish a telemonitoring system based on the Internet of Things (IoT). The system architecture includes a database that houses data on simulated wrist movement therapy, with data queries typically taking 0.0043 seconds for every 500 rows of data. Additionally, the generated graphs from the simulated rehabilitation data mirror those from the actual device obtained from real subjects. Developing a web-based application to exhibit rehabilitation data that one or more operators may access from any location at any time is also achievable. As for development in future studies, trial on actual wrist rehabilitation devices and database optimization is necessary for the proposed telemonitoring system design.