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The adaptive ARMA analysis of EMG signals.

机译:EMG信号的自适应ARMA分析。

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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.
机译:在这项研究中,对静止位置右手尺神经区域上记录的EMG信号进行自适应自动回归移动平均(A-ARMA)分析。 A-ARMA方法,特别是在计算固定信号频谱时,用于信号的频率分析,以尖锐的峰和谷给出频率响应。在这项研究中,作为A-ARMA方法对EMG信号进行时域分析的结果,获得了频谱曲线(直方图曲线)。在评估属于这些直方图的图像时,检查了人的尺神经区域的肌肉纤维的颤动电位宽度(研究材料)。根据运动神经的退化程度,肌病22例,神经病43例,正常28例。

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