Development of Real-time Signal Processing and Analysis System for Surface Electromyography

• Main Authors: Chao-Wang Wu, 吳昭旺
• Other Authors: Jia-Jin Chen
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/65402538914263207654

碩士 === 國立成功大學 === 醫學工程學系 === 84 === The aim of this study is to develop a real-time EMG analysis system, based on the TMS320C40 DSP system, for on-site visualization of EMG measurement quality and for direct observation of firing characteristics of surface MUAPs. The real-time EMG analysis system consists of digital signal processing system (C40), A/D converter, and personal computer (PC). A multistage approach for surface MUAPs analysis, including signal preprocessing, digital spatial filter, detection of dominate MUAPs, and analysis of firing rate, is implemented in this study. Joint interval histogram (JIH) method is used to observe the firing pattern of dominate MUAPs. The developed real-time EMG analysis system aims for two major applications. One is for the on-site visualization of the EMG quality for the time-course study of motor unit activity in stroke patients. For surface MUAPs sampled at 5 kHz, we can simultaneously monitor and store EMG data for total length of 22 seconds. The EMG data can also be on-line processed for firing characteristization. Another application is to provide visual biofeedback for laboratory study of motor control. From the multistage processing of surface MUAPs, the plot of JIH contour of every 0.25 sec period can be real-time displayed as the source for visual biofeedback. Our experiments show that the firing characteristics of MUAPs can be controlled via the biofeedback.