Proceedings of the 6th International Conference on Social Science, Education and Humanities Research (SSEHR 2017)

Emotional Evoked Analysis of Classical Music

Authors
Ying Lin
Corresponding Author
Ying Lin
Available Online February 2018.
DOI
https://doi.org/10.2991/ssehr-17.2018.66How to use a DOI?
Keywords
Classic Music, Emotional Evoked Analysis, Control Charts
Abstract
EEG induced emotional music and autonomic nervous response. Methods A total of 20 graduate students (8 boys and 12 girls) were randomly selected and listened to two melodies with the same melody but played with different instruments. The BIOPAC MP150 multi-guided physiology instrument was used to analyze the subjective experience and electroencephalogram Autonomic and physiological responses were studied. Results ? The happy and sad emotions were induced by the two pieces of music (t = 8.90, P <0.01; t = 6.47, P <0.01) 0.037); The maximum energy of T wave, U wave and wave were enhanced in different brain regions under the two different emotions. Conclusions The maximal energy of T wave, U wave and wave are significantly affected by emotion. Pleasant emotions activate T wave in the occipital region and the apical region more, and sad mood more activates the T wave in the frontal region.
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Proceedings
6th International Conference on Social Science, Education and Humanities Research (SSEHR 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
978-94-6252-471-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/ssehr-17.2018.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ying Lin
PY  - 2018/02
DA  - 2018/02
TI  - Emotional Evoked Analysis of Classical Music
BT  - 6th International Conference on Social Science, Education and Humanities Research (SSEHR 2017)
PB  - Atlantis Press
SP  - 281
EP  - 284
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssehr-17.2018.66
DO  - https://doi.org/10.2991/ssehr-17.2018.66
ID  - Lin2018/02
ER  -