Brain's Night Symphony (BraiNSy): A Methodology for EEG Sonification

This paper describes a method for converting sleep Electroencephalogram (EEG) signals into music. For that purpose, a new segmentation procedure is used for extracting relevant information from the sleep EEG that is then translated into sequences of notes, chords, arpeggios and pauses, with a varyin...

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Bibliographic Details
Published inIEEE transactions on affective computing Vol. 12; no. 1; pp. 103 - 112
Main Authors Fernandes, Carlos M., Migotina, Daria, Rosa, Agostinho C.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Air flow
Babies
Brain
Electroencephalography
Feature extraction
Frequency modulation
generative art
Multiple signal classification
Music
Segmentation
signal processing
Sleep
sleep EEG
Sonification
Online AccessGet full text
ISSN1949-3045
1949-3045
DOI10.1109/TAFFC.2018.2850008

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Summary:This paper describes a method for converting sleep Electroencephalogram (EEG) signals into music. For that purpose, a new segmentation procedure is used for extracting relevant information from the sleep EEG that is then translated into sequences of notes, chords, arpeggios and pauses, with a varying tempo that is defined by sleep stages. The final outcome is a direct time-domain conversion of the brain activity during sleep into sound. Since typical sleep EEGs vary with age and sleep disorders, different groups of subjects were used in the experiments: babies, sane adults and patients with air-flow limitation.
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ISSN:1949-3045
1949-3045
DOI:10.1109/TAFFC.2018.2850008