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Computational Intelligence and Neuroscience
Volume 2010, Article ID 267671, 6 pages
Research Article

Music Composition from the Brain Signal: Representing the Mental State by Music

1Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
2Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
3Department of Students' Affairs, Arts Education Centre, University of Electronic Science and Technology of China, Chengdu 610054, China

Received 18 June 2009; Revised 29 September 2009; Accepted 22 December 2009

Academic Editor: Fabio Babiloni

Copyright © 2010 Dan Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.