EMG pattern classification of normal and anterior cruciate ligament injured subjects

L.-G. Zhang, R. Shiavi
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引用次数: 1

Abstract

The authors have analyzed features of electromyographic (EMG) linear envelopes from six muscles of normal and anterior-cruciate-ligament-injured subjects and found that their phase spectra play major roles in determining the waveform. Pattern classification of six muscles was then done based on such features, and clusterings of some abnormal EMG waveforms were obtained. Several criteria for determining the optimal cluster number were also investigated.<>
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正常与前交叉韧带损伤的肌电图分型
作者分析了正常和前交叉韧带损伤6块肌肉的肌电线包膜特征,发现其相谱在确定肌电线包膜波形中起主要作用。然后根据这些特征对六块肌肉进行模式分类,得到部分异常肌电信号的聚类。研究了确定最优聚类数的几个标准。
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