Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Auditory feedback for brain computer interface management: an EEG data sonification approach
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Acoustic rendering as support for sustained attention during biomedical procedures
ICAD'98 Proceedings of the 1998 international conference on Auditory Display
Improved sparse bump modeling for electrophysiological data
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
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This paper investigates the use of sound and music as a means of representing and analyzing multichannel EEG recordings. Specific focus is given to applications in early detection and diagnosis of early stage of Alzheimer's disease. We propose here a novel approach based on multi channel sonification, with a time-frequency representation and sparsification process using bump modeling. The fundamental question explored in this paper is whether clinically valuable information, not available from the conventional graphical EEG representation, might become apparent through an audio representation. Preliminary evaluation of the obtained music score - by sample entropy, number of notes, and synchronous activity - incurs promising results.