一般論文
歩行中の脳波に含まれるワークロード信号のブラインド信号源分離を用いた抽出
2018 年 20 巻 3 号 p. 353-360
詳細
2018 年 20 巻 3 号 p. 353-360
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.
