Skip navigation
Skip navigation

Recursive channel selection techniques for brain computer interfaces

Oliver, Gareth; Sunehag, Peter; Gedeon, Tamas (Tom)

Description

Automated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.

dc.contributor.authorOliver, Gareth
dc.contributor.authorSunehag, Peter
dc.contributor.authorGedeon, Tamas (Tom)
dc.coverage.spatialSan Diego USA
dc.date.accessioned2015-12-13T22:17:53Z
dc.date.createdAugust 28-September 1 2012
dc.identifier.isbn9781424441200
dc.identifier.urihttp://hdl.handle.net/1885/71367
dc.description.abstractAutomated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012)
dc.sourceProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
dc.source.urihttp://dx.doi.org/10.1109/EMBC.2012.6347194
dc.subjectKeywords: Calculation time; Channel insertion; Channel selection; Data sets; Expert knowledge; Loss of accuracy; Recursive Channel Elimination; Industrial engineering; Engineering
dc.titleRecursive channel selection techniques for brain computer interfaces
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2012
local.identifier.absfor080101 - Adaptive Agents and Intelligent Robotics
local.identifier.ariespublicationf5625xPUB2682
local.type.statusPublished Version
local.contributor.affiliationOliver, Gareth, College of Engineering and Computer Science, ANU
local.contributor.affiliationSunehag, Peter, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1753
local.bibliographicCitation.lastpage1756
local.identifier.doi10.1109/EMBC.2012.6346288
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T09:01:46Z
local.identifier.scopusID2-s2.0-84870818460
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Oliver_Recursive_channel_selection_2012.pdf440.8 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator