engleski

White Noise Based Modeling of Surface Myoelectric Signals During Cyclic Dynamic Contractions

Surface myoelectric signals recorded during fatiguing cyclic dynamic contractions are non- stationary signals with variable spectral parameters. In attempt to extract the essentials of their change and assess different time-frequency analysis methods many models have been developed. White noise based modeling is frequently used method. Accordingly, we developed model that allows control over power spectrum and signal amplitude. Synthesized signals were analyzed by continuous wavelet transform. The analysis show, that in general, white noise based models of cyclic dynamic contractions result in signals with high variability of modeled spectral parameters and therefore, are not suitable for assessment of different time-frequency analysis methods.

surface EMG ; dynamic contractions ; signal modeling

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