A study of features of EEG signals during upper-limb motion

Y. Hayashi, K. Kiguchi
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引用次数: 8

Abstract

A sEMG signal is useful for the control of the wearable robots because its measurement is relative-easy and the joint torque can be estimated from sEMG signals of related multiple muscles. However, estimation methods of sEMG signals are not always available for all users. On the other hand, an EEG signal is one of the biological signals which might be the substitute for a sEMG signal because an EEG signal can be measured even with persons who cannot provide some sEMG signals. In general the estimation of the user's motion-intention from EEG signals is more difficult than the estimation from sEMG signals. The robot might work against the user's motion-intention when the user does not concentrate on the control of the robot and is distracted by other things. In this paper, to estimate user's motion-intention from EEG signals, the feature of EEG signals during upper-limb motion is investigated and we estimate whether or not the user moves the upper-limb.
上肢运动时脑电信号特征的研究
表面肌电信号的测量相对简单,并且可以根据相关多个肌肉的表面肌电信号估计关节扭矩,因此对可穿戴机器人的控制非常有用。然而,表面肌电信号的估计方法并不总是适用于所有用户。另一方面,脑电图信号是一种可以代替表面肌电信号的生物信号,因为即使不能提供某些表面肌电信号的人也可以测量脑电图信号。一般来说,从脑电信号中估计用户的运动意图比从表面肌电信号中估计用户的运动意图要困难得多。当用户没有集中精力控制机器人,而被其他事情分散注意力时,机器人可能会违背用户的运动意图。为了从脑电信号中估计用户的运动意图,本文研究了上肢运动时脑电信号的特征,估计用户是否运动上肢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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