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1、AWAVELETBASEDDE-NOISINGTECHNIQUEFOROCULARARTIFACTCORRECTIONOFTHEELECTROENCEPHALOGRAMTatjanaZikov,StéphaneBibian,GuyA.Dumont,MihaiHuzmezanDepartmentofElectricalandComputerEngineering,theUniversityofBritishColumbia,BC,CANADA.Abstract–Thispaperinvestigatesawaveletbaseddenoisingofthee
2、lectroencephalogram(EEG)signaltocorrectforthepresenceoftheocularartifact(OA).Theproposedtechniqueisbasedonanover-completewaveletexpansionoftheEEGasfollows:i)astationarywavelettransform(SWT)isappliedtothecorruptedEEG;ii)thethresholdingofthecoefficientsinthelowerfrequencybandsisperf
3、ormed;iii)thede-noisedsignalisreconstructed.ThispaperdemonstratesthepotentialoftheproposedtechniqueforsuccessfulOAcorrection.Theadvantageoverconventionalmethodsisthatthereisnoneedfortherecordingoftheelectrooculogram(EOG)signalitself.Theapproachworksbothforeyeblinksandeyemovements.
4、Hence,thereisnoneedtodiscriminatebetweendifferentartifacts.Toallowforapropercomparison,thecontaminatedEEGsignalsaswellasthecorrectedsignalsarepresentedtogetherwiththeircorrespondingpowerspectra.Keywords-stationarywavelettransform(SWT),electroencephalogram(EEG),electrooculogram(EOG
5、),ocularartifact(OA).I.INTRODUCTIONTheelectroencephalogram(EEG)givesresearchersanon-invasiveinsightintotheintricacyofthehumanbrain.Itisavaluabletoolforcliniciansinnumerousapplications,fromthediagnosisofneurologicaldisorders,totheclinicalmonitoringofdepthofanesthesia.Forawakehealth
6、ysubject,normalEEGamplitudeisintheorderof20-50μV.TheEEGisverysusceptibletovariousartifacts,causingproblemsforanalysisandinterpretation.Incurrentdataacquisition,eyemovementandblinkrelatedartifactsareoftendominantoverotherelectrophysiologicalcontaminatingsignals(e.g.heartandmuscleac
7、tivity,headandbodymovements),aswellasexternalinterferencesduetopowersources.Eyemovementsandblinksproducealargeelectricalsignalaroundtheeyes(intheorderofmV),knownaselectrooculogram(EOG),whichspreadsacrossthescalpandcontaminatestheEEG.Thesecontaminatingpotentialsarecommonlyreferredt
8、oasocularartifact(OA).Therejectio
