Lecture 36: Improper integrals Instructor: David Jerison View the complete course at: ocw.mit.edu Li...
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Views: (2001) Date: (Publication Date: Feb. 1994) Pages: () |
Abstract: Abstract Previous investigators have experimentally demonstrated and/or analytically predicted that temporal whitening of the surface electromyograph (EMG) waveform prior to demodulation improves the EMG amplitude estimate. However, no systematic study of the influence of various whitening filters upon amplitude estimate performance has been reported. The authors describe a phenomenological mathematical model of a single site of the surface EMG waveform and reports on experimental studies which examined the performance of several temporal whitening filters. Surface EMG waveforms were sampled during nonfatiguing, constant-force, isometric contractions of the biceps or triceps muscles, over the range of 10-75% maximum voluntary contraction. A signal-to-noise ratio (SNR) was computed from each amplitude estimate (deviations about the mean value of the estimate were considered as noise). A moving average root mean square estimator (245 ms window) provided an average/spl plusmn/standard deviation (A/spl plusmn/SD) SNR of 10.7/spl plusmn/3.3 for the individual recordings. Temporal whitening with one fourth-order whitening filter designed per site improved the A/spl plusmn/SD SNR to 17.6/spl plusmn/6.0.