Title :
Spectral analysis of myoelectric signals by wavelet methods
Author :
Karlsson, Stefan ; Yu, Jun ; Akay, Metin
Author_Institution :
Dept. of Biomed. Eng., Univ. Hosp., Umea, Sweden
Abstract :
The wavelet packet method is introduced as an alternative method for spectral analysis of surface myoelectric (ME) signals. Both computer synthesised and real myoelectric signals during static contractions are investigated, and the results show that the wavelet packet method performs equally well as the Fourier method. Moreover, wavelet packets give one some advantage over the traditional methods such as multiresolution of frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. The wavelet shrinkage method is also introduced for improving spectral estimates by reducing the mean square errors for both Fourier and wavelet packets estimates
Keywords :
electromyography; medical signal processing; spectral analysis; wavelet transforms; Fourier method; computer synthesised myoelectric signals; dynamic contractions; electrodiagnostics; frequency multiresolution; mean square errors reduction; nonstationary signals; real myoelectric signals; time-frequency decomposition; wavelet packet method; wavelet shrinkage method; Knee; Mathematical model; Mean square error methods; Muscles; Signal analysis; Signal synthesis; Spectral analysis; Time frequency analysis; Wavelet analysis; Wavelet packets;
Conference_Titel :
Bioelectromagnetism, 1998. Proceedings of the 2nd International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-3867-7
DOI :
10.1109/ICBEM.1998.666381