Continuous wavelet transform application to EMG signals during human gait

Adham R. Ismail, Shihab S Asfour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

EMG signals are important in quantifying deviations from normal gait. Traditionally, Fourier transforms were utilized in determining the frequency spectrum of the typically non-stationary EMG signals. The continuous wavelet transform, suggested in this paper, is more appropriate. In this study, signals from four muscles of the right lower extremity were recorded, for eight normal subjects, during steady-state gait. The time-frequency distributions of these signals were computed using the fourth order Daubechies mother wavelet. Wavelet-based time-frequency representations were useful in identifying the recruitment patterns of slow and fast fibers to meet the varying demands imposed on the muscles during different phases of the gait cycle.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
PublisherIEEE Comp Soc
Pages325-329
Number of pages5
Volume1
StatePublished - 1998
EventProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 1 1998Nov 4 1998

Other

OtherProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2)
CityPacific Grove, CA, USA
Period11/1/9811/4/98

Fingerprint

Wavelet transforms
Muscle
Fourier transforms
Fibers

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Ismail, A. R., & Asfour, S. S. (1998). Continuous wavelet transform application to EMG signals during human gait. In M. B. Matthews (Ed.), Conference Record of the Asilomar Conference on Signals, Systems and Computers (Vol. 1, pp. 325-329). IEEE Comp Soc.

Continuous wavelet transform application to EMG signals during human gait. / Ismail, Adham R.; Asfour, Shihab S.

Conference Record of the Asilomar Conference on Signals, Systems and Computers. ed. / M.B. Matthews. Vol. 1 IEEE Comp Soc, 1998. p. 325-329.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ismail, AR & Asfour, SS 1998, Continuous wavelet transform application to EMG signals during human gait. in MB Matthews (ed.), Conference Record of the Asilomar Conference on Signals, Systems and Computers. vol. 1, IEEE Comp Soc, pp. 325-329, Proceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2), Pacific Grove, CA, USA, 11/1/98.
Ismail AR, Asfour SS. Continuous wavelet transform application to EMG signals during human gait. In Matthews MB, editor, Conference Record of the Asilomar Conference on Signals, Systems and Computers. Vol. 1. IEEE Comp Soc. 1998. p. 325-329
Ismail, Adham R. ; Asfour, Shihab S. / Continuous wavelet transform application to EMG signals during human gait. Conference Record of the Asilomar Conference on Signals, Systems and Computers. editor / M.B. Matthews. Vol. 1 IEEE Comp Soc, 1998. pp. 325-329
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