EMG analysis using wavelet functions to determine muscle contraction
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Modern spectrum analysis has been applied to various bio-medical signal processing. Wavelet transform (WT) has been applied in this research for the analysis of the surface electromyography signal (SEMG). Mean and median frequencies of the SEMG power spectrum were used to indicate changes in muscle contraction during gait. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as a means of understanding muscle contractions during gait. Power spectrum analysis on the EMG signal from right rectus femoris muscle was performed using various wavelet functions (WF). With the appropriate choice of the WF, it is possible to analyze SEMG significantly. Results show that WF Daubechies45 presents the most significant changes in SEMG power spectrum compared to the other WFs.
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Electrical and Electronic Engineering not elsewhere classified