The adaptive ARMA analysis of EMG signals

被引：8

作者：

Barisci, Necaattin ^{[1
]}

机构：

[1] Kirikkale Univ Kampus, Fac Engn, Dept Elect Elect Engn, Kirikkale, Turkey

来源：

JOURNAL OF MEDICAL SYSTEMS | 2008年 / 32卷 / 01期

关键词：

electromyography (EMG); adaptive autoregressive moving average (A-ARMA) analysis; histogram; myopathy; neuropathy;

D O I：

10.1007/s10916-007-9106-8

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：43 / 50

页数：8

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