Classification of EMG Signals by Using AR Spectral Estimation Methods.
作者： Etem Koklukaya , Mehmet Recep Bozkurt , Abdulhamit Subasi
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摘要: Quantitative analysis of electromyographic (EMG) signals provides an essential source information for the diagnosis neuromuscular disorders. In this study, EMG recorded from different subjects were processed using autoregressive methods and power spectra obtained. The parameters method estimated by estimation such as Yule-Walker, Burg, covariance modified covariance. then used input to artificial neural network compared in relation their accuracy classification signals.
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