Computational Analysis of Neuro Muscular Rehabilitation Using Labview

Abstract

Physical disabilities which caused by impairment due to muscle spasticity, osteoporosis, muscle atrophy affects the person’s quality of life. As a result, physical rehabilitations are essential to be performed for the restoration of lost functions as a core treatment for such disabilities. On the other hand, the physical rehabilitations are too labour intensive due to the nature of one-to-one attention in healthcare sectors. To overcome the above mentioned problems, this paper presents the development of analysis of intelligent upper limb rehabilitation system to close the gap in shortage of therapists. The system is designed especially for user motivation to perform the exercise longer and be used with minimum therapist supervision at home. The physical rehabilitation aims to work out the increase in upper limb range of motion, and strengthen the associate muscles. The user’s sEMG signals will be attained and the system detects the defined sEMG threshold level to display and analyse the active muscle’s EMG signal in real time during performing exercises. These signals are extracted as live data and imported to LabVIEW platform. These live data were used as an input for real-time muscle activation module. Analysis and display of real-time muscle activation is performed in LabVIEW. The effectiveness of the proposed system is being evaluated by performing usability test. Since the system is user friendly the participants can interact with the rehabilitation exercises easily.