Blind Source Separation of a Workload-Related Neural Signal from the Electroencephalogram during Walking
Blind Source Separation of a Workload-Related Neural Signal from the Electroencephalogram during Walking
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步行时脑电图中与工作负荷相关的神经信号的盲源分离
DOI：
10.11184/his.20.3_353
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
梅野 健
中科院分区：
文献类型：
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作者：
岩瀬 悠哉;成瀬 康;横田 悠右;梅原 広明;梅野 健
近年来，可穿戴式脑电描记仪的出现使我们能够在运动过程中对大脑活动进行实时监测。然而，EEG数据包括当参与者移动时由移动引起的噪声。因此，降低噪声以测量运动过程中的大脑活动是一个重要的问题。本文主要研究步行过程中听觉稳态诱发电位的工作负荷估计。比较了几种盲源分离方法的降噪性能。
Recently wearable electroencephalography (EEG) device enables us to mea sure brain activities during moving. However, EEG data include noise caused by movement when participants move. Therefore, it is a significant problem to reduce the noise in order to measure brain activities during moving. In this paper, we focused on the workload estimation from auditory steady state response during walking. We compared the noise reduction performance of some kinds of blind source separation methods.