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《Beijing Biomedical Engineering》 2003-01
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Identification of Needle Electrode Electromyography Signals Based on Fuzzy Recognition Method

QIN Chuan, WANG Zhizhong, MA Minghui. Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030  
Focusing on the uncertainty of needle EMG, a NEMG identification method based on fuzzy recognition method is presented in this paper to identify needle electrode electromyography signal during forearm abnormal recruitment. Membership grade function, eigenvalue, and relation matrix required for fuzzy recognition are given. When the same eignvalues and number of samples are the same, compared with the method using Bayes classifier, our new method has advantages of fewer samples and higher accuracy of identification under the same conditions.
【Fund】: 国家自然科学基金资助项目 (60 1710 0 6)
【CateGory Index】: R310
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