An ensemble with the Chinese pentatonic scale using electroencephalogram from both hemispheres

Area of Science:

• Neuroscience
• Music Technology
• Signal Processing

Background:

• Scale-free brainwave music (SFBM) previously translated electroencephalogram (EEG) into music.
• This technology offers a novel method for analyzing brain activity.

Purpose of the Study:

• To extend SFBM technology to create ensemble music from two-channel EEG data.
• To investigate the harmonic differences between pentatonic and heptatonic scales in representing brain activity during sleep stages.

Main Methods:

• Two-channel EEG data from symmetrical left and right hemispheres were collected.
• EEG parameters modulated pitch, duration, and volume to generate MIDI sequences via SFBM.
• Sequences were filtered into a two-voice ensemble using either pentatonic or heptatonic scales.

Main Results:

• Differences in harmony were observed between the pentatonic and heptatonic scales across sleep stages.
• The pentatonic scale generated more harmonious brain ensemble music.
• Harmony intervals of the brain ensemble followed the power law during different sleep stages.
• The pentatonic scale facilitated easier distinction between sleep stages compared to the heptatonic scale.

Conclusions:

• Hemispheric ensemble music effectively represents brain activity through variations in pitch, tempo, and harmony.
• The pentatonic scale produces more consonant brainwave music and reflects interhemispheric relations.
• This approach offers a new perspective for EEG analysis and distinguishing brain states.