Tags

Type your tag names separated by a space and hit enter

Music composition from the brain signal: representing the mental state by music.

Abstract

This paper proposes a method to translate human EEG into music, so as to represent mental state by music. The arousal levels of the brain mental state and music emotion are implicitly used as the bridge between the mind world and the music. The arousal level of the brain is based on the EEG features extracted mainly by wavelet analysis, and the music arousal level is related to the musical parameters such as pitch, tempo, rhythm, and tonality. While composing, some music principles (harmonics and structure) were taken into consideration. With EEGs during various sleep stages as an example, the music generated from them had different patterns of pitch, rhythm, and tonality. 35 volunteers listened to the music pieces, and significant difference in music arousal levels was found. It implied that different mental states may be identified by the corresponding music, and so the music from EEG may be a potential tool for EEG monitoring, biofeedback therapy, and so forth.

Authors+Show Affiliations

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20300580

Citation

Wu, Dan, et al. "Music Composition From the Brain Signal: Representing the Mental State By Music." Computational Intelligence and Neuroscience, 2010, p. 267671.
Wu D, Li C, Yin Y, et al. Music composition from the brain signal: representing the mental state by music. Comput Intell Neurosci. 2010.
Wu, D., Li, C., Yin, Y., Zhou, C., & Yao, D. (2010). Music composition from the brain signal: representing the mental state by music. Computational Intelligence and Neuroscience, 267671. https://doi.org/10.1155/2010/267671
Wu D, et al. Music Composition From the Brain Signal: Representing the Mental State By Music. Comput Intell Neurosci. 2010;267671. PubMed PMID: 20300580.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Music composition from the brain signal: representing the mental state by music. AU - Wu,Dan, AU - Li,Chaoyi, AU - Yin,Yu, AU - Zhou,Changzheng, AU - Yao,Dezhong, Y1 - 2010/03/11/ PY - 2009/06/18/received PY - 2009/09/29/revised PY - 2009/12/22/accepted PY - 2010/3/20/entrez PY - 2010/3/20/pubmed PY - 2010/6/15/medline SP - 267671 EP - 267671 JF - Computational intelligence and neuroscience JO - Comput Intell Neurosci N2 - This paper proposes a method to translate human EEG into music, so as to represent mental state by music. The arousal levels of the brain mental state and music emotion are implicitly used as the bridge between the mind world and the music. The arousal level of the brain is based on the EEG features extracted mainly by wavelet analysis, and the music arousal level is related to the musical parameters such as pitch, tempo, rhythm, and tonality. While composing, some music principles (harmonics and structure) were taken into consideration. With EEGs during various sleep stages as an example, the music generated from them had different patterns of pitch, rhythm, and tonality. 35 volunteers listened to the music pieces, and significant difference in music arousal levels was found. It implied that different mental states may be identified by the corresponding music, and so the music from EEG may be a potential tool for EEG monitoring, biofeedback therapy, and so forth. SN - 1687-5273 UR - https://www.unboundmedicine.com/medline/citation/20300580/Music_composition_from_the_brain_signal:_representing_the_mental_state_by_music_ L2 - https://dx.doi.org/10.1155/2010/267671 DB - PRIME DP - Unbound Medicine ER -