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

Yohei Tomita, Yasue Mitsukura, Toshihisa Tanaka, Jianting Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages306-312
Number of pages7
Volume6677 LNCS
EditionPART 3
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event8th International Symposium on Neural Networks, ISNN 2011 - Guilin, China
Duration: 2011 May 292011 Jun 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6677 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Signal Extraction
Dimension Reduction
Electroencephalography
Locality
Principal component analysis
Principal Component Analysis
Projection
Sleep
Weight Distribution
Weighted Sums
Range of data
Driver
Irregular
Experiments
Distinct
Necessary
Energy
Experiment
Electroencephalogram

Keywords

  • EEG
  • LPP
  • PCA
  • RCE

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Tomita, Y., Mitsukura, Y., Tanaka, T., & Cao, J. (2011). Dimension reduction of RCE signal by PCA and LPP for estimation of the sleeping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 6677 LNCS, pp. 306-312). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6677 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-21111-9_34

Dimension reduction of RCE signal by PCA and LPP for estimation of the sleeping. / Tomita, Yohei; Mitsukura, Yasue; Tanaka, Toshihisa; Cao, Jianting.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6677 LNCS PART 3. ed. 2011. p. 306-312 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6677 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tomita, Y, Mitsukura, Y, Tanaka, T & Cao, J 2011, Dimension reduction of RCE signal by PCA and LPP for estimation of the sleeping. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 edn, vol. 6677 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6677 LNCS, pp. 306-312, 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, 11/5/29. https://doi.org/10.1007/978-3-642-21111-9_34
Tomita Y, Mitsukura Y, Tanaka T, Cao J. Dimension reduction of RCE signal by PCA and LPP for estimation of the sleeping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Vol. 6677 LNCS. 2011. p. 306-312. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-21111-9_34
Tomita, Yohei ; Mitsukura, Yasue ; Tanaka, Toshihisa ; Cao, Jianting. / Dimension reduction of RCE signal by PCA and LPP for estimation of the sleeping. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6677 LNCS PART 3. ed. 2011. pp. 306-312 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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