Title:
A review of real-time eeg sonification research

dc.contributor.author Väljamäe, A
dc.contributor.author Steffert, T
dc.contributor.author Holland, S
dc.contributor.author Marimon, X
dc.contributor.author Benitez, R
dc.contributor.author Mealla, S
dc.contributor.author Oliveira, A
dc.contributor.author Jorda, S
dc.contributor.corporatename International Community for Auditory Display
dc.contributor.corporatename St. Petersburg State University. Dep. of Higher Nervous Activity. Laboratory of psychophysiology
dc.contributor.corporatename The Open University. Centre for Research in Computing. Music Computer Lab
dc.contributor.corporatename Universitat Polit`ecnica de Catalunya. BarcelonaTECH, LASSIE Lab Automatic Control Department
dc.contributor.corporatename University of Pompeu Fabra. DTIC. Music Technology Group (MTG)
dc.date.accessioned 2014-04-28T04:56:16Z
dc.date.available 2014-04-28T04:56:16Z
dc.date.issued 2013-07
dc.description Presented at the 19th International Conference on Auditory Display (ICAD2013) on July 6-9, 2013 in Lodz, Poland. en_US
dc.description Presented at the 19th International Conference on Auditory Display (ICAD2013) on July 6-9, 2013 in Lodz, Poland.
dc.description.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. en_US
dc.embargo.terms null en_US
dc.identifier.citation Proceedings of the 19th International Conference on Auditory Display (ICAD2013). Lodz, Poland. 6-9 July 2013. International Community for Auditory Display, 2013 en_US
dc.identifier.uri http://hdl.handle.net/1853/51645
dc.publisher Georgia Institute of Technology en_US
dc.publisher Georgia Institute of Technology
dc.publisher.original International Community for Auditory Display en_US
dc.publisher.original International Community for Auditory Display (ICAD)
dc.relation.ispartofseries International Conference on Auditory Display (ICAD)
dc.subject Auditory display en_US
dc.subject Sonification en_US
dc.subject Real-Time EEG en_US
dc.title A review of real-time eeg sonification research en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename Sonification Lab
local.relation.ispartofseries International Conference on Auditory Display (ICAD)
relation.isOrgUnitOfPublication 2727c3e6-abb7-4df0-877f-9f218987b22a
relation.isSeriesOfPublication 6cb90d00-3311-4767-954d-415c9341a358
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