睡眠腦電的非線性動力學研究.pdf

1、江蘇大學碩士學位論文睡眠腦電的非線性動力學研究姓名：劉慧申請學位級別：碩士專業(yè)：控制理論與控制工程指導教師：和衛(wèi)星20041222江蘇大學碩士學位論文ABSTRACTSleepisonekindofimportantphysiologyphenomenaAgoodphysiologicalsleephasthefunctionofrestoringphysicalenergyandbrainenergyinhumanbeingWithr

2、apidnessofmordensocietyrhythmandincreasementofcompetionpressure，moreandmorepeoplehavebadsleepquality，usuallysufferingfrominsomnia，SOthatitaffectslifequality，workefficiencyandhealth。NowsleepapneasyndromecouldevenbevitalQu

3、estionsaboutSleepqualityareconcerned，andgoodjudgementmethodsaredemandedurgentlyInaddition，somepotentialdiseases，especiallyincerebra，arenoteasilyfoundedwhenwaking，buttheywillappearduringsleepaccordingdifferentsleepstageSo

4、，ifwecanbringtolightdifferenceamongeverysleepstageusingsomemethods，itwillbehelpfultodevelopnewmedicalmeasurement，preventabilityandtreatmentInrecentyears，anincreasingresearchefforthasbeendirectedtodevelopingareliablemetho

5、dtodeterminethedepthofsleepfromelectroencephalograph(EEG)measurementsTheclassicalapproachestoanalysisandinterpretationoftheEEG，aretoemploythesesignalprocessingmethodssuchastimedomain，frequency—domain，andtime—frequencydom

6、ainetcHowever，electricalactivityofthebrain(EEG)exhibitssignificantcomplexbehaviorwithstrongnonlinearanddynamicalproperties，consideringthis，nonlineardynamicstheorymaybeabetterapproachthantraditionallinearmethodsincharacte

7、rizingoftheEEGliesinitsdynamicscomplexityUndernonlineardynamicstheoriesofEEGtimeseriesoncoelationdimension，complexityandentropy，wehaveinvestigatedsomenewtechniquestomeasurethedeepdegreeofsleepstagebyEEGmeasurements：sucha

8、scorrelationdimensionandcomplexitymeasureKCdefinedbyKasparandSchusterbasedontheLem—ZivarithmeticwhichCanactasanalternativetoolforEEGanalysis，sinceitiSwellsuitedforcharacterizingthedevelopmentofspatiotemporalactivitypatte

9、rnsinhi曲dimensionalitynonlinearsystems；Theotheristheapproximateentropy(ApEn)，arecentlydevelopedfamilyofstatistics，thatcanclassifycomplexsystemsbothdeterministicchaoticandstochasticprocessesAndCO，C1，C2complexitymesuredefi

10、nedbyxujinhua；ExceptthatweinvestigatedspectralentropyandwaveletentropyusinginsleepstageAsprovedthroughtheEEGanalysisofdifferentobjectsanddifferenttime，thethesemethodsextracttheessentialinformationofthenonlinearoftheEEGdy

11、namicswhichprovidethepromisingmeasureforcharacterizingthedepthofsleepstageKeywords：Electroencephalograph(EEO)，sleepstage，Complexity，ApproximateEntropy(ApEn)，SampleEntropy(SampEn)，PowerSpectralEntropy(PSE)，WaveletEntropy(