A method to convert neural signals into sound sequences

We present a method to convert neural signals into sound sequences, with the constraint that the sound sequences precisely reflect the sequences of events in the neural signal. The method consists in quantifying the wave motifs in the signal and using these parameters to generate sound envelopes. We...

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Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2022-06, Vol.151 (6), p.3685-3689
Main Authors: Destexhe, Alain, Foubert, Luc
Format: Article
Language:English
Subjects:
Acoustics
Electroencephalography
Engineering Sciences
Humans
Life Sciences
Neurons and Cognition
Signal and Image processing
Signal Processing, Computer-Assisted
Sleep
Sound
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Summary:We present a method to convert neural signals into sound sequences, with the constraint that the sound sequences precisely reflect the sequences of events in the neural signal. The method consists in quantifying the wave motifs in the signal and using these parameters to generate sound envelopes. We illustrate the procedure for sleep delta waves in the human electro-encephalogram (EEG), which are converted into sound sequences that encode the time structure of the original EEG waves. This procedure can be applied to synthesize personalized sound sequences specific to the EEG of a given subject.
ISSN:0001-4966
1520-8524
DOI:10.1121/10.0011549