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Cross-Correlation Analysis of After Emotional Stimulation in EEG Using a Smartphone
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- MURAMATSU Ayumi
- Graduate School of Applied Informatics, University of Hyogo
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- YAMAMOTO Yusuke
- Graduate School of Applied Informatics, University of Hyogo
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- MIZUNO-MATSUMOTO Yuko
- Graduate School of Applied Informatics, University of Hyogo Graduate School of Information Science, University of Hyogo Cybermedia Center, Osaka University
Bibliographic Information
- Other Title
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- スマートフォンから受ける情動刺激後における脳波の相互相関解析
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Description
<p>[Objective] The purpose of this study was to investigate the information processing process in the brain by cross-correlation analysis of brain waves after emotional stimulation with a smartphone. [Methods] The subjects were 23 healthy adults that were divided into two groups, namely stress and non-stress groups, via psychological examination. In the experiment, stimuli of relaxation, pleasant, unpleasant, pleasant sentence, and unpleasant sentence were displayed on a smartphone for the subject, and the brain waves were measured concurrently. To record the EEG data, the electrodes (19 channels) were placed according to the international 10/20 system. Coherence analysis was performed on the EEG, and the coherence values and time lag in 171 combinations among all channels in the alpha 1 band (8–10 Hz) were calculated. [Results] The time-lag between unpleasant, pleasant, and unpleasant sentences in the non-stress group was higher than that for the rest and pleasant stimuli. The stress group showed higher time-lag than the non-stress group at all stimulation times. [Discussion] The results imply that the stress group has slower information propagation compared to the non-stress group. Additionally, it can be suggested that text stimulation received from a smartphone has slow information propagation, regardless of its content.</p>
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 33 (3), 711-717, 2021-08-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390852018451440896
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- NII Article ID
- 130008074779
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- ISSN
- 18817203
- 13477986
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed