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1、AWAVELETBASEDDE-NOISINGTECHNIQUEFOROCULARARTIFACTCORRECTIONOFTHEELECTROENCEPHALOGRAMTatjanaZikov,StéphaneBibian,GuyA.Dumont,MihaiHuzmezanDepartmentofElectricalandComputerEngineering,theUniversityofBritishColumbia,BC,CANADA.Abstract–Thispaperinvestigatesawaveletbaseddenoisingoftheelectroenceph
2、alogram(EEG)signaltocorrectforthepresenceoftheocularartifact(OA).Theproposedtechniqueisbasedonanover-completewaveletexpansionoftheEEGasfollows:i)astationarywavelettransform(SWT)isappliedtothecorruptedEEG;ii)thethresholdingofthecoefficientsinthelowerfrequencybandsisperformed;iii)thede-noisedsi
3、gnalisreconstructed.ThispaperdemonstratesthepotentialoftheproposedtechniqueforsuccessfulOAcorrection.Theadvantageoverconventionalmethodsisthatthereisnoneedfortherecordingoftheelectrooculogram(EOG)signalitself.Theapproachworksbothforeyeblinksandeyemovements.Hence,thereisnoneedtodiscriminatebet
4、weendifferentartifacts.Toallowforapropercomparison,thecontaminatedEEGsignalsaswellasthecorrectedsignalsarepresentedtogetherwiththeircorrespondingpowerspectra.Keywords-stationarywavelettransform(SWT),electroencephalogram(EEG),electrooculogram(EOG),ocularartifact(OA).I.INTRODUCTIONTheelectroenc
5、ephalogram(EEG)givesresearchersanon-invasiveinsightintotheintricacyofthehumanbrain.Itisavaluabletoolforcliniciansinnumerousapplications,fromthediagnosisofneurologicaldisorders,totheclinicalmonitoringofdepthofanesthesia.Forawakehealthysubject,normalEEGamplitudeisintheorderof20-50μV.TheEEGisver
6、ysusceptibletovariousartifacts,causingproblemsforanalysisandinterpretation.Incurrentdataacquisition,eyemovementandblinkrelatedartifactsareoftendominantoverotherelectrophysiologicalcontaminatingsignals(e.g.heartandmuscleactivity,headandbodymovements),aswellasexternalinterferencesduetopowersour
7、ces.Eyemovementsandblinksproducealargeelectricalsignalaroundtheeyes(intheorderofmV),knownaselectrooculogram(EOG),whichspreadsacrossthescalpandcontaminatestheEEG.Thesecontaminatingpotentialsarecommonlyreferredtoasocularartifact(OA).Therejectio