Translating EEG into Music


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. 2010:267671. Epub 2010 Mar 11. PubMed PMID: 20300580; PubMed Central PMCID: PMC2837898.

Fascinating. Investigators at University of Electronic Science and Technology of China and Shanghai Institutes for Biological Sciences propose a method to translate human EEG into music, “so as to represent mental state by music.”

From the Discussion and Conclusion:

“There is growing interest in the relation between the brain and music. The approach to translate the EEG data into music is an attempt to represent the mind world with music… The above results show that the approach is advisable and effective and that the music pieces of different sleep stages are of distinct music features corresponding to the different levels of arousal…. Though individual EEG data is different from one subject to another, the basic features of sleep EEG with different mental states are quite steady, such as the characteristic waves of different sleep stages. That means, for the same sleep stage, that the music of different subjects would be different in details, but the main patterns would be similar…. This method might be used potentially in an assistant sleep monitor in clinical applications because the music of different sleep stages can be identified easily and more comfortably…. Furthermore, this method can be utilized as a unique automatic music generation system, which enables those people who have no composition skills to make music through using their brainwaves. Therefore, it can be utilized as a bio-feedback tool in disease therapy and fatigue recovery.”

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