|Non-stationary analysis of sEMG signal|
The quantification of the progression of muscle fatigue can bring useful information concerning clinical applications and is pursued in this research topic. The spectral analysis of surface electromyographic signals (sEMG), through the mean and median frequency values, is a valuable tool for the quantification of the electrical manifestation of muscle fatigue. Specifically, it has been demonstrated that during an isometric muscle contraction the power spectrum of the signal is progressively scaled towards the lower frequency end of the spectrum. Dynamic contractions are more usual in the daily activities and the sEMG detected in this case is considered a realization of a nonstationary stochastic process. The most used techniques for the spectral analysis of sEMG recorded during dynamic exercises are the time–frequency (TF) transforms belonging to Cohen’s class; the Choi-Williams transform has been shown to be particularly suitable for this purpose.
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