The Adaptive ARMA Analysis of EMG Signals

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 signa...

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Bibliographic Details
Published in:Journal of medical systems 2008-02, Vol.32 (1), p.43-50
Main Author: Barisci, Necaattin
Format: Article
Language:English
Subjects:
Diagnostic tests
Electromyography - instrumentation
Electromyography - methods
Hands
Health Informatics
Health Sciences
Humans
Medical diagnosis
Medicine
Medicine & Public Health
Neurological disorders
Original Paper
Regression Analysis
Signal Processing, Computer-Assisted - instrumentation
Statistics for Life Sciences
Turkey
Ulnar Neuropathies
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Summary: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.
ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-007-9106-8