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A Study on Improvement of MUAP Resolution using Spatial Filter  

Yang, Duck-Jin (서울시립대학교 대학원 전자전기컴퓨터 공학과)
Jun, Chang-Ik (한국전기연구원)
Lee, Young-Suk (청운대학교 전자공학과)
Lee, Jin (삼척대학교 컴퓨터응용 제어공학과)
Kim, Sung-Hwan (서울시립대학교 대학원 전자전기컴퓨터 공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.53, no.1, 2004 , pp. 55-64 More about this Journal
Abstract
Conventional bipolar surface electromyography(EMG) technique detects only the superimposed electromyographic activity of a large number of motor units due to its low spatial resolution. For the diagnosis of neuromuscular disorder, the information of single MU is required. In this paper, 9 channel array surface electrode system was as designed and MLoG filter was proposed. Also the MCPT(modified convolution processing technique)method was proposed for the improvement of MUAP resolution. For performance evaluation, power spectrum analysis of random data and raw EMG signal comparison of MUAP shape and quantitative estimation of SNR were executed. As a result, the MUAP resolution improvement of 32％ was obtained from the standpoint of the signal-to-noise ratio(SNR).
Keywords
electromyography(EMG); spatial filter; MUAP;
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Times Cited By KSCI : 2  (Citation Analysis)
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