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http://dx.doi.org/10.5370/KIEE.2014.63.8.1128

Optimal Signal Segment Length for Modified Run-test and RA(reverse arrangement)-test for Assessing Surface EMG Signal Stationarity  

Lee, Jin (Dept. of Control & Instrumentation Engineering, Kangwon National Univ.)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.8, 2014 , pp. 1128-1133 More about this Journal
Abstract
Most of the statistical signal analysis processed in the time domain and the frequency domain are based on the assumption that the signal is weakly stationary(wide sense stationary). Therefore, it is necessary to know whether the surface EMG signals processed in the statistical basis satisfy the condition of the weak stationarity. The purpose of this study is to find optimal segment length of surface EMG signal for assessing stationarity with the modified Run-test and RA-test. Ten stationary surface EMG signals were simulated by AR(autoregressive) modeling, and ten real surface EMG signals were recorded from biceps brachii muscle and then modified to have non-stationary structures. In condition of varying segment length from 20ms to 100ms, stationarity of the signals was tested by using six different methods of modified Run-test and RA-test. The results indicate that the optimal segment length for the surface EMG is 30ms~35ms, and the best way for assessing surface EMG signal stationarity is the modified Run-test (Run2) method using this optimal length.
Keywords
Surface EMG stationarity; Optimal signal segmentation;
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Times Cited By KSCI : 1  (Citation Analysis)
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