時(shí)頻分析及其在癲癇腦電信號(hào)中的應(yīng)用.pdf

1、大連理工大學(xué)碩士學(xué)位論文時(shí)頻分析及其在癲癇腦電信號(hào)中的應(yīng)用姓名：初孟申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：邱天爽20051201初孟：時(shí)頻分析及其在癲癇腦電信號(hào)中的應(yīng)用TimeFrequencyAnalysisandItsApplicationinEEGSignalAbsttactEpilepsyisoftenthesignofneurologicaldiseaseordysfunction，itdisserveshumanh

2、ealthseverelyThewavesofepilepticdischargeincludespike，sharpwave，spikeandslowwave，sharp—and—slowwaveetcAndtheimportantauxiliarydiagnosisofepilepsyisbasedonelectroencephalograph(EEG)DuringthetraditionalclinicalEEGexaminati

3、on，itmostlydependsonexpertreadingthemultichannelEEGanddetectingtheepilepticcharacteristicwavestodiagnoseepilepsyBecausethismethodeasilybringssomesubjectiveselectivity，moreover，insomecasesthedataareverylargeandthistaskloo

4、ksveryonerousandvapid，sotheautodetectionofepilepticwavesisverysignificantThetraditionalapproachesforanalysingEEGsignalsareintimedomainorinfrequencydomainThetimedomainmethodsareveryintuitionistic，andinfrequencydomaintherh

5、ythmandspectracharacteristicsareconsideredButbothmethodsarea11basedon也eassumptionofstationarityofEEGsignalsTherefore，thedetectionresultisnotquitereliableduetoEEGsignalsaresignificantlynonstationaryandmulti—componentButti

6、me—frequencymethodsfittoanalyzenonstationarysignal，itcarlrepresentthedistributionofsignal’senergyateachtimeinfrequencySotimefrequencyanalysishasbetterfutureintheEEGsignalsprocessingThisthesisappliestime—frequencyanalysis

7、toepilepticEEGsignalandextractstheusefultime—frequencycharacteristicssoastocompletetheautomaticdetectionofepilepticcharacteristicwavesandalleviatetheheavylabourforceofthedoctorsandimprovetheefficiencyofdiagnosisFirstly，t

8、hispaperstudiesthebasictheoryandoverviewstheexistingtimefrequencyanalysismethodsandsummarizesthedevelopmentofsuppressingtheCROSS—termsinrecentyearsAnewtimefrequencydistributionbasedonautoregressivemodel(AR)spectrumisgive

9、nandtheorderofARmodelismadeoptimumSecondly，thispapergivestwoanalysismethodsbasedonempiricalmodedecompositionOneisatime—frequencydistributionbasedEMD，theotherisnonlinearenergyoperator(NEO)basedonEMD，andbothofthemhavegoodr

10、esultsinepilepticEEGsignalprocessingThirdly，twosyntheticmethodsofspikedetectionareproposed，OneisbasedontimefrequencyanalysisofChoi—Williamsdistribution(CWD)Inthismethod，itemploysthewayofsingularvaluedecomposition(SVD)tog