Sonification of EEG signals
Researcher

(April 2014_Sept 2013)

Sonification of EEG signals


In this study, we propose a system that transforms EEG signals into audio sequences, based on sparse time-frequency maps of EEG.

Audio representations of EEG should fulfill three conditions:

(1) they should contain as much information as possible about the EEG; 

(2) they should be meaningful from a neurophysiological perspective; 

(3) they should be easy to interpret, and suitable for multi-channel EEG data.

Collaborator:

NR Sign Inc. EEG & EMG Solutions


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