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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Published in | IEEE transactions on affective computing Vol. 12; no. 1; pp. 103 - 112 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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ISSN | 1949-3045 1949-3045 |
DOI | 10.1109/TAFFC.2018.2850008 |
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Abstract | 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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AbstractList | 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. |
Author | Rosa, Agostinho C. Fernandes, Carlos M. Migotina, Daria |
Author_xml | – sequence: 1 givenname: Carlos M. orcidid: 0000-0002-1594-6785 surname: Fernandes fullname: Fernandes, Carlos M. email: cfernandes@laseeb.org organization: University of Lisbon, Lisbon, Portugal – sequence: 2 givenname: Daria orcidid: 0000-0003-0182-6907 surname: Migotina fullname: Migotina, Daria email: dmigotina@laseeb.org organization: University of Lisbon, Lisbon, Portugal – sequence: 3 givenname: Agostinho C. orcidid: 0000-0001-5165-3114 surname: Rosa fullname: Rosa, Agostinho C. email: acrosa@laseeb.org organization: University of Lisbon, Lisbon, Portugal |
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Cites_doi | 10.1073/pnas.87.3.938 10.1016/j.sleep.2004.07.010 10.1038/310096a0 10.1093/brain/57.4.355 10.1007/978-3-642-34156-4_36 10.1142/S0129065713500123 10.1080/00150517.1964.12431497 10.1371/journal.pone.0005915 10.1093/oso/9780195131581.001.0001 10.1162/014892603322022682 10.1145/3106548.3106614 10.1109/ISWC.1997.629932 10.1162/014892600559335 10.1038/41277 10.1109/MMUL.2005.36 10.2307/854000 10.2307/3128798 10.1080/09298219208570604 10.1038/20833 10.1073/pnas.88.8.3507 10.1504/IJART.2015.069553 10.1162/0024094054762133 10.1142/9789812832054_0008 10.1016/j.clinph.2007.01.025 10.2307/3680116 10.1142/S0129065712500025 10.1038/258317a0 10.1093/mq/LIX.1.92 10.2316/P.2012.764-063 10.1162/LEON_a_00180 |
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SubjectTerms | Air flow Babies Brain Electroencephalography Feature extraction Frequency modulation generative art Multiple signal classification Music Segmentation signal processing Sleep sleep EEG Sonification |
Title | Brain's Night Symphony (BraiNSy): A Methodology for EEG Sonification |
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