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
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;
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
DOI :
10.1109/IEMBS.1994.412007
