Electroencephalogram-Based Comparative Study of Music Effect on Mental Stress Relief

Khan, MA; Chennafi, M; Li, G; Wang, G

Electroencephalogram-Based Comparative Study of Music Effect on Mental Stress Relief

Khan, MA Chennafi, M Li, G

Wang, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, 2019
Issue Date:: 2019-02-01

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Field	Value	Language
dc.contributor.author	Khan, MA	en_US
dc.contributor.author	Chennafi, M	en_US
dc.contributor.author	Li, G https://orcid.org/0000-0002-5251-7445	en_US
dc.contributor.author	Wang, G	en_US
dc.date.issued	2019-02-01	en_US
dc.identifier.citation	Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, 2019	en_US
dc.identifier.isbn	9781538676042	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133437
dc.description.abstract	© 2018 IEEE. This paper is a comparative study of the impacts of different music genres (classical vs personal preferred) and timing settings to listen to the music on mental stress relief based on electroencephalogram (EEG). Fifty-six healthy young adults participated in this study, which involves a set of stress stimulus tasks and EEG recordings. Discrete Wavelet Transformation has been used to extract alpha wave from raw EEG data and then the widely used Frontal Alpha Asymmetry (FAA) was calculated to evaluate the stress state. Statistical results show that Frontal Alpha Asymmetry index obtained in classical music group has a significant difference if compared to personal preferred group and control group (rest in silence), indicating that classical music is a more effective tool for mental stress relief. Regarding the timing settings to listen to the music, there is not a statistical difference, indicating that listening to music before, during and after the stressful events has no significant relief effect.	en_US
dc.relation.ispartof	Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018	en_US
dc.relation.isbasedon	10.1109/CISP-BMEI.2018.8633019	en_US
dc.title	Electroencephalogram-Based Comparative Study of Music Effect on Mental Stress Relief	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. This paper is a comparative study of the impacts of different music genres (classical vs personal preferred) and timing settings to listen to the music on mental stress relief based on electroencephalogram (EEG). Fifty-six healthy young adults participated in this study, which involves a set of stress stimulus tasks and EEG recordings. Discrete Wavelet Transformation has been used to extract alpha wave from raw EEG data and then the widely used Frontal Alpha Asymmetry (FAA) was calculated to evaluate the stress state. Statistical results show that Frontal Alpha Asymmetry index obtained in classical music group has a significant difference if compared to personal preferred group and control group (rest in silence), indicating that classical music is a more effective tool for mental stress relief. Regarding the timing settings to listen to the music, there is not a statistical difference, indicating that listening to music before, during and after the stressful events has no significant relief effect.

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http://hdl.handle.net/10453/133437