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Exactly periodic spatial filter for SSVEP based BCIs

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dc.contributor.authorKiran, Kumar G.R.
dc.contributor.authorRamasubba, Reddy M.
dc.date.accessioned2023-09-19T15:01:41Z
dc.date.available2023-09-19T15:01:41Z
dc.date.issued26-12-2018
dc.description.abstractThis study introduces a novel, high accuracy, calibration less spatial filter for reliable steady-state visual evoked potential (SSVEP) extraction from noisy electroencephalogram (EEG) data. The proposed method, exactly periodic subspace decomposition (EPSD), utilises the periodic properties of the SSVEP components to achieve a robust spatial filter for SSVEP extraction. It tries to extract the SSVEP components by projecting the EEG data onto a subspace where only the target signal components are retained. The performance of the method was tested on an SSVEP dataset obtained from ten subjects and compared with common SSVEP spatial filtering and detection techniques. The results obtained from the study shows that EPSD consistently provides a significant improvement in detection performance than other SSVEP spatial filters used in brain-computer interface (BCI) applications.
dc.identifier.doi10.1109/CW.2018.00050
dc.identifier.scopus2-s2.0-85061447846
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/33787
dc.relation.ispartofseriesProceedings - 2018 International Conference on Cyberworlds, CW 2018
dc.sourceProceedings - 2018 International Conference on Cyberworlds, CW 2018
dc.subjectBrain-computer interface (BCI)
dc.subjectElectroencephalogram (EEG)
dc.subjectExactly periodic subspace decomposition (EPSD)
dc.subjectSpatial filter
dc.subjectSteady-state visual evoked potential (SSVEP)
dc.titleExactly periodic spatial filter for SSVEP based BCIs
dc.typeConference Proceeding
dspace.entity.typePublication
oaire.citation.endPage242
oaire.citation.startPage237
person.affiliation.cityChennai
person.affiliation.id60025757
person.affiliation.nameIndian Institute of Technology Madras
person.identifier.scopus-author-id57416911100
person.identifier.scopus-author-id55413842900
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