Title:
A review of real-time eeg sonification research
A review of real-time eeg sonification research
Author(s)
Väljamäe, A
Steffert, T
Holland, S
Marimon, X
Benitez, R
Mealla, S
Oliveira, A
Jorda, S
Steffert, T
Holland, S
Marimon, X
Benitez, R
Mealla, S
Oliveira, A
Jorda, S
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Abstract
Over the last few decades there has been steady growth in
research that addresses the real-time sonification of electroencephalographic
(EEG) data. Diverse application areas include
medical data screening, Brain Computer Interfaces (BCI), neurofeedback,
affective computing and applications in the arts. The
present paper presents an overview and critical review of the principal
research to date in EEG data sonification. Firstly, we identify
several sub-domains of real-time EEG sonification and discuss
their diverse approaches and goals. Secondly, we describe our
search and inclusion criteria, and then present a synoptic summary
table spanning over fifty different research projects or published
research findings. Thirdly, we analyze sonification approaches to
the various EEG data dimensions such as time-frequency filtering,
signal level, location, before going on to consider higher order
EEG features. Finally, we discuss future application domains
which may benefit from new capabilities in the real-time sonification
of EEG data. We believe that the present critical review may
help to reduce research fragmentation and may aid future collaboration
in this emerging multidisciplinary area.
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Date Issued
2013-07
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Text
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Proceedings