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The Adaptive ARMA Analysis of EMG Signals

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Abstract

In this study, Adaptive auto regressive-moving average (A-ARMA) analysis of EMG signals recorded on the ulnar nerve region of the right hand in resting position was performed. A-ARMA method, especially in the calculation of the spectrums of stationary signals, is used for frequency analysis of signals, which give frequency response as sharp peaks and valleys. In this study, as the result of A-ARMA method analysis of EMG signals frequency–time domain, frequency spectrum curves (histogram curves) were obtained. As the images belonging to these histograms were evaluated, fibrillation potential widths of the muscle fibers of the ulnar nerve region of the people (material of the study) were examined. According to the degeneration degrees of the motor nerves, 22 people had myopathy, 43 had neuropathy, and 28 were normal.

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Authors and Affiliations

  1. Department of Electrical—Electronics Engineering, Faculty of Engineering, Kırıkkale University Kampüs, Kırıkkale, Turkey

    Necaattin Barişçi

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  1. Necaattin Barişçi
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Barişçi, N. The Adaptive ARMA Analysis of EMG Signals. J Med Syst 32, 43–50 (2008). https://doi.org/10.1007/s10916-007-9106-8

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  • DOI: https://doi.org/10.1007/s10916-007-9106-8

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