An ensemble with the chinese pentatonic scale using electroencephalogram from both hemispheres
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To listen to brain activity as a piece of music, we previously proposed scale-free brainwave music (SFBM) technology, which translated the scalp electroencephalogram (EEG) into musical notes according to the power law of both the EEG and music. In this study, the methodology was further extended to ensemble music on two channels from the two hemispheres. EEG data from two channels symmetrically located on the left and right hemispheres were translated into MIDI sequences by SFBM, and the EEG parameters modulated the pitch, duration and volume of each note. Then, the two sequences were filtered into an ensemble with two voices: the pentatonic scale (traditional Chinese music) or the heptatonic scale (standard Western music). We demonstrated differences in harmony between the two scales generated at different sleep stages, with the pentatonic scale being more harmonious. The harmony intervals of this brain ensemble at various sleep stages followed the power law. Compared with the heptatonic scale, it was easier to distinguish the different stages using the pentatonic scale. These results suggested that the hemispheric ensemble can represent brain activity by variations in pitch, tempo and harmony. The ensemble with the pentatonic scale sounds more consonant, and partially reflects the relations of the two hemispheres. This can be used to distinguish the different states of brain activity and provide a new perspective on EEG analysis.
Keywordselectroencephalogram music power law ensemble Chinese pentatonic scale
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- Rosenboom D. Biofeedback and the Arts, Results of Early Experiments. Vancouver: Aesthetic Research Centre of Canada, 1976: 27–109.Google Scholar
- Rosenboom D. Extended Musical Interface with the Human Nervous System: Assessment and Prospectus. San Francisco: International Society for the Arts, Sciences and Technology, 1997: 26–101.Google Scholar
- Hermann T. Sonification for exploratory data analysis. Bielefeld: Bielefeld University, 2002: 31–44.Google Scholar
- Wu D, Li C, Yin Y, Zhou C, Yao D. Music composition from the brain signal: representing the mental state by music. Comput Intell Neurosci 2010. Doi: 10.1155/2010/267671.Google Scholar
- Rechtschaffen A, Kales A. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. Los Angeles: Brain Information Service, 1968: 1–57.Google Scholar
- Fechner GT. Elements of psychophysics. In: Howes DH, Boring EG (Eds.). Elements of Psychophysics (trans. Adler HE). New York: Holt, Rinehart and Winston, 1966: 113–170.Google Scholar
- Schoenberg A. Theory of Harmony. Ewing: University of California Press, 1983: 18–286.Google Scholar