Continuous wavelet transform application to EMG signals during human gait

Adham R. Ismail, Shihab S. Asfour

Research output: Contribution to journalConference articlepeer-review

24 Scopus citations

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)
Pages (from-to)325-329
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Dec 1 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

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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