Methods to reduce the variability of EMG power spectrum estimates

被引:91
作者
Baratta, RV
Solomonow, M
Zhou, BH
Zhu, M
机构
[1] Louisiana State Univ, Med Ctr, Bioengn Lab, Dept Orthopaed Surg, New Orleans, LA 70112 USA
[2] Rehabil Inst New Orleans, Jo Ellen Smith Reg Med Ctr, New Orleans, LA USA
基金
美国国家科学基金会;
关键词
muscle; electromyography; power spectrum; median frequency;
D O I
10.1016/S1050-6411(97)00031-X
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Three methods that can significantly reduce the variability of the EMG power density spectrum (PDS) variable by eliminating artifactual components are described. Two methods: one that allows the subtraction of power line noise in the time domain and one which allows the subtraction of system noise in the frequency domain from the EMG? were shown to be effective in helping to accurately estimate the median frequency (MF) of the PDS, and especially during low level contractions (0-25% maximal voluntary contraction, MVC) when the signal-to-noise ratio is unfavorable. The techniques eliminate the artifactual effects of system and power line noises from the EMG recordings throughout the force range (0-100% MVC) while preserving the native EMG power at all frequencies. It was also shown that if a technique to train subjects to produce their true MVC is employed, the absolute force/torque produced could be as much as 30% higher than in untrained MVC. The effect of true MVC production was also shown to be significant when interpretation of PDS variables are correlated to the processes which produce contraction. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:279 / 285
页数:7
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