DocumentCode
3568268
Title
Efficient estimation of spectral moments of evoked myoelectric signals
Author
Merletti, R. ; Gulisashvili, A. ; Conte, L. R Lo
Author_Institution
Dept. of Biomed. Eng., Boston Univ., MA, USA
fYear
1994
Firstpage
355
Abstract
Evoked myoelectric signals (M-waves) undergo progressive scaling and change of shape during sustained electrically elicited contractions. Such changes can be described using the first four central moments of the power spectrum of the M-wave. An algorithm is presented that estimates the spectral moments without computing the Fourier transform, using a weighted sum of the first few samples of the autocorrelation function
Keywords
electromyography; medical signal processing; spectral analysis; M-wave; autocorrelation function; evoked myoelectric signals; progressive scaling; shape change; spectral moments estimation algorithm; sustained electrically elicited contractions; weighted sum; Autocorrelation; Biomedical monitoring; Fourier transforms; Mathematics; Muscles; Neuromuscular; Polynomials; Robustness; Sampling methods; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN
0-7803-2050-6
Type
conf
DOI
10.1109/IEMBS.1994.412007
Filename
412007
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