论文信息 - Spectrum analysis of surface electromyogram (EMG)

Spectrum analysis of surface electromyogram (EMG)

Modern spectrum analysis has been recently applied to various biomedical signal processing. One of the widely used bioelectrical signals which is called electromyogram (EMG) is treated in the paper. Surface EMG was measured from the left forearm flexor muscles of healthy subjects using two electrodes placed on the skin. Power spectrum estimates of EMG were obtained by maximum entropy method (MEM) and compared with the estimates by fast Fourier transform (FFT). Effects of increasing load to spectral characteristic changes were investigated. The results from both MEM and FFT indicated 1) low frequency increase 2) high frequency decay 3) total increase in amplitude. In the paper, spectral analysis of surface EMG signal is described with experimental examples.

K. Ogino | W. M. Kozak | K. Ogino | W. M. Kozak

[1] H. Akaike. Fitting autoregressive models for prediction , 1969 .

[2] J. P. Burg,et al. Maximum entropy spectral analysis. , 1967 .

[3] R. Fusfeld,et al. Analysis of electromyographic signals by measurement of wave duration. , 1971, Electroencephalography and clinical neurophysiology.

[4] L. Lindstrom,et al. Muscular fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals. , 1970, Electromyography.

[5] J S Petrofsky,et al. Computer analysis of the surface EMG during isometric exercise. , 1980, Computers in biology and medicine.

[6] H. Piper. Elektrophysiologie menschlicher Muskeln , 1912 .

[7] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .

[8] Ben H. Jansen,et al. Autoregressive Estimation of Short Segment Spectra for Computerized EEG Analysis , 1981, IEEE Transactions on Biomedical Engineering.