7th International E- conference on Engineering, Technology and Management - ICETM 2022
Author(s) : MYTHREYI KONDAPI, SURESH SUSURLA, VINEELA KAARENGALA
In physiotherapy and rehabilitation sector, initial patient diagnosis on movement is done using manual techniques. Recently, use of sensor technology is mostly preferred to understand movements precisely. The rapid technological advancements with growing demand for the use of innovative medical in the field of medicine aim to improve the quality of health-care delivery. This study aims to design a wireless wearable system that senses and measures motor variables needed in physiotherapy assessments. After developing the product, an initial device characterisation test was done to establish its accuracy. Separate comparative investigations were conducted for measuring muscle activity with Biometrics EMG sensors and joint angle range of motion (ROM) with standard goniometer, android mobile applications called Goniometer Recorder, and Angle Meter Pro respectively. Data analysis was done using Pearson correlation coefficient method. An accuracy of 98% for joint angle measurements and 96% for muscle activity measurements was found when compared with gold standard devices. The findings of this study suggest use of this device as a movement sensing and measuring tool that can be advantageous to existing tools used in current practice.