基于相干时滞的脑电与肌电延迟估计

Yuhang Xu, V. McClelland, Z. Cvetković, K. Mills
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引用次数: 3

摘要

估计运动皮层与外周之间的时间延迟的传统方法是基于估计运动控制任务中同步记录的运动皮层脑电图(EEG)和肌电图(EMG)信号之间交叉谱密度的相位斜率。有几个问题可能使使用这种方法的延迟估计受到误差的影响,导致经常与潜在生理学不一致的估计。本文引入了带时滞的皮质肌相干(CMCTL)函数,提出了一种基于局部最大值估计延迟的方法。我们进一步解决了多路径传播系统中这种时间延迟的解释问题。用该方法得到的延迟估计与用相位法得到的结果更一致,更符合生理事实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delay estimation between EEG and EMG via coherence with time lag
The traditional way to estimate the time delay between the motor cortex and the periphery is based on the estimation of the slope of the phase of the cross spectral density between motor cortex electroencephalogram (EEG) and electromyography (EMG) signals recorded synchronously during a motor control task. There are several issues that could make the delay estimation using this method subject to errors, leading frequently to estimates which are in disagreement with underlying physiology. This study introduces cortico-muscular coherence with time lag (CMCTL) function and proposes a method for estimating the delay based on finding its local maxima. We further address the issue of the interpretation of such time delay in multi-path propagation systems. Delay estimates obtained using the proposed method are more consistent compared with results obtained using the phase method and in a better agreement with physiological facts.
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