Presentation 2013-09-25
A Study on Classification of Emotional State Using HRV and Chaos Analysis of ECG
Akira OHASHI, Naoki JINBO, Ryo SHINOZAKI, Masahiro NAKAGAWA,
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Abstract(in English) Evaluation methods of the human mental condition are the subject investigated of actively. In this study, we propose a classification method of emotional states based on HRV and chaos analysis of ECG. We applied the proposed method to ECG data in each state of rest, pleasure and unpleasure, and obtained fine classification results from most subjects. For example, the probability of correct classification in rest state was 94%. In the each case of pleasure and unpleasure state , probability of correct classification was 78,83%. We discussed a validity of chaos features from the randomized feature.
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Keyword(in English) HRV / ECG / Emotion / Chaos analysis / pattern classification
Paper # MBE2013-55,NC2013-41
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Committee MBE
Conference Date 2013/9/17(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Classification of Emotional State Using HRV and Chaos Analysis of ECG
Sub Title (in English)
Keyword(1) HRV
Keyword(2) ECG
Keyword(3) Emotion
Keyword(4) Chaos analysis
Keyword(5) pattern classification
1st Author's Name Akira OHASHI
1st Author's Affiliation Nagaoka University of Technology()
2nd Author's Name Naoki JINBO
2nd Author's Affiliation UNION TOOL CO.
3rd Author's Name Ryo SHINOZAKI
3rd Author's Affiliation UNION TOOL CO.
4th Author's Name Masahiro NAKAGAWA
4th Author's Affiliation Nagaoka University of Technology
Date 2013-09-25
Paper # MBE2013-55,NC2013-41
Volume (vol) vol.113
Number (no) 222
Page pp.pp.-
#Pages 6
Date of Issue