Dimension reduction of RCE signal by PCA and LPP for estimation of the sleeping

Yohei Tomita, Yasue Mitsukura, Toshihisa Tanaka, Jianting Cao

研究成果: Conference contribution

抄録

Irregular hour and suffering from stress cause driver doze and falling asleep during important situations. Therefore, it is necessary to know the mechanism of the sleeping. In this study, we distinct the sleep conditions by the rhythmic component extraction (RCE). By using this method, a particular EEG component is extracted as the weighted sum of multi-channel signals. This component concentrates the energy in a certain frequency range. Furthermore, when the weight of a specific channel is high, this channel is thought to be significant for extracting a focused frequency range. Therefore, the sleep conditions are analyzed by the power and the weight of RCE. As for weight analysis, the principal component analysis (PCA) and the locality preserving projection (LPP) are used to reduce the dimension. In the experiment, we measure the EEG in two conditions (before and during the sleeping). Comparing these EEGs by the RCE, the power of the alpha wave component decreased during the sleeping and the theta power increased. The weight distributions under two conditions did not significantly differ. It is to be solved in the further study.

本文言語English
ホスト出版物のタイトルAdvances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011
ページ306-312
ページ数7
PART 3
DOI
出版ステータスPublished - 2011 6 6
外部発表はい
イベント8th International Symposium on Neural Networks, ISNN 2011 - Guilin, China
継続期間: 2011 5 292011 6 1

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 3
6677 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other8th International Symposium on Neural Networks, ISNN 2011
国/地域China
CityGuilin
Period11/5/2911/6/1

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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