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dc.contributor.authorREILLY, RICHARD
dc.date.accessioned2008-07-26T10:29:50Z
dc.date.available2008-07-26T10:29:50Z
dc.date.createdOctoberen
dc.date.issued2002
dc.date.submitted2002en
dc.identifier.citationBurke, D., Kelly, S., deChazal, P., Reilly, R.B., A simultaneous filtering and feature extraction strategy for direct brain interfacing: proceedings of the 24th Annual International Conference on Engineering in Medicine and Biology, 2002, pp279- 280en
dc.identifier.otherY
dc.identifier.other52195
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/19561
dc.descriptionPUBLISHEDen
dc.description.abstractParametric modeling strategies are explored in conjunction with Linear Discriminant Analysis (LDA) to facilitate an Electroencephalogram (EEG) based direct-brain interface. A left/right self-paced typing exercise is analysed by employing an AutoRegressive (AR) model for feature extraction and an AutoRegressive with Exogenous input (ARX) model for combined filtering and feature extraction. Modeling both the signal and noise is found to be more effective than modeling the noise alone with the former yielding a classification accuracy of 81.0% and the latter an accuracy of 57.4%.en
dc.format.extent279- 280en
dc.format.extent241649 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.rightsYen
dc.subjectLinear Discriminant Analysis (LDA)en
dc.subjectElectroencephalogram (EEG)en
dc.subjectDirect-brain interfaceen
dc.titleA simultaneous filtering and feature extraction strategy for direct brain interfacingen
dc.title.alternativeAnnual International Conference on Engineering in Medicine and Biology: 24th: 2002en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/reillyri
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/8123/25190/01134492.pdf?tp=&isnumber=&arnumber=1134492


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