Development of sensor system with measurement of surface electromyogram signal for clinical use

In this investigation, the study of surface electromyogram (SEMG) signals at different above-elbow muscles for different operations of the arm like elbow flexion/extension, abduction/adduction was carried out. The proposed study for measuring signal amplitude is based on subject's data (age, height, and weight) utilizing surface electromyogram-based body mass index. The whole system consists of surface electrodes, signal acquisition protocols, and signal conditioning at different levels. Labview Softscope was used to acquire the SEMG signal from the designed hardware. After acquiring the data from selected locations, interpretation of SEMG signals was done for the estimation of parameters using Labview algorithm. The different types of arm operations were analyzed using principal component analysis and analysis of variance for justifying the effect of the surface electromyogram signal for different motions. This paper provides researchers a good understanding of surface electromyogram signal with its analysis and will help them to develop more powerful, flexible, efficient applications leading to prosthetic design.