Discrimination of the Sleeping EEG by the Adaptive Rhythmic Component Extraction
It is crucial to practically estimate the driver dozing. For this purpose, the analysis of the frequency components of the electroencephalogram (EEG) is accepted as the most favorable. Therefore, we propose to extract the frequency components of the EEG, by using the rhythmic component extraction (RCE), proposed by Tanaka et al. First of all, we analyze differences of power spectrum among the channels. As this result, the recognition accuracy between the sleeping and the waking when the frontal lobe is used is 76.9％. In addition, we distinct the EEG data by using weight features of the RCE. As results, the accuracy is up to 94.1％. It is shown the effectiveness of the weight analysis. Therefore, there is possibility that we can extract effective electrodes by the RCE weights.
Yohei Tomita Hironobu Fukai Yasue Mitsukura Toshihisa Tanaka Jianting Cao
Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
729-734
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）