心電圖st段自動(dòng)分析方法研究

1、中國(guó)科學(xué)技術(shù)大學(xué)碩士學(xué)位論文心電圖ST段自動(dòng)分析方法研究姓名：李小燕申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：生物醫(yī)學(xué)工程指導(dǎo)教師：馮煥清王濤2000.5.1!里墜蘭苧查查蘭堡圭篁塞堡圣竺皇里!!璧!墊坌絲窒鎏竺窒AbstractAutomaticAnalysisofECGSTSegmentElectrocardiogram(ECG)hasbeenappliedtonon—invasivediagnosisofcardiovasculardiseasev

2、astlyeversinceithasbeendevelopedSTsegmentanalysisisoneofthemostimportantpartsofECGanalysisThewaveformchangesofSTsegmentwillappearinECGwheneverthecardiaccelldepolarizationweredisturbedbyischemia，electrolyteturbulence，drug

3、，etcTherefore，itissignificanttecognizeandlocatetheSTsegments，andtomeasurethemquicklyandaccuratelyinclinicalHoweverthephysiciansarenotsatisfiedwithcurrenttechnologyofautomaticanalysisofSTsegment。Itrequiresellgineersandphy

4、siciansworkingtogethertoseekmoreeffectiveprocessingmethodsBedirectedagainstthedifficultiesinautomaticanalysisofSTsegment，thisthesisfocusedOBseekingalleffectiveapproachbyusingthenewtechnologyofwaveletanalysiswhichhasthead

5、vantageofitsexcellentabilityinprocessingunstable，noiseinducedsignalThethesisconsistsoffollowingthreeparts：1)First，severaltraditionalfiltersarediscussedandcomparedOnaccountofspecialrequestofSTsegmentanalysis，anewtypeofada

6、ptivefilterisdesignedbasedonMulti—ResolutionAnalysis(MRS)ofwavelettransform，inwhichinputsignalderivedfromonlyoneECGleadExperimentalresultsoftheproposedalgorithmhaveshownthatthisfilterissatisfactoryforremovingbaselinedrif

7、tofECG2)ECGsignalsarecomposedofseveralcomponentsofdifferentfrequencywhichCanbedistinguishedindifferentscalebywavelettransformByusingwaveletanalysis，wefoundthatfiducialpointsinSTsegment，suchasSpoint，Jpointandonset／peak／of

8、fsetpointofTwave，correspondtomodulusmaximumandzerocrossingpointsofwavelettransformatthedifferentscale3)Onthebasisofthepreviouswork，weinvestigatedhowtheSTdeviationwillaffectthesingularityalignedwithdetectedpointsandtheten