關于ECG信號處理與分析的研究.pdf

1、廣西師范大學碩士學位論文關于ECG信號處理與分析的研究姓名：陳瑞中申請學位級別：碩士專業(yè)：計算機理論與軟件指導教師：馮嘉禮20000101AbstractCardiova5culasdiseaseisOOeofthemoslimportantdiseasesinendangeringhumall’slifeandelectrocardiogram(ECG)isaimportantdiagnostictOO]farassessinghe3

2、nfunctionSothestudiesonECGprocessingandECGanal)zingarecmtstam[、fotIoned、githinterestWiththeprogressofcomputertechnologiestthemethodsofECGprocessingandECGanalyzinghavebeenimprovedThispaperapproachesthreequestionsaboutthes

3、tudofECGwiththetechnologvofcomputerFirstly。inthispaperafi[teffngmethodforECGsignalisintroducedwhichdecomposesoriginalECGsignalsindetailsignalsondifferentfrequencybandsbyusingWaveletTransform(WT)AccordingtoECGsignalfeamre

4、，somedetailsignalsareprocessedbythresholdfilteringalgorithm，andthenthesignalisreconstructectbyinverseWTThereforeseveralmaininterferenceinECGsignalcanberemovedExperimentalresultsdemonstratethatthisisanefficientfilteringme

5、thodSecondlyamethodofECG’sdatacompressionbasedoilwaveletneuralnegvorkisintroducedirlthepaperhereTheExperimentalresults曲owthatthewaveletneuralneesorkcompressingtemplate最mgreatlyquicken激speedofneVxorkconvergenceComparingwi

6、thBPnetwork，themethodofwaveletneuraloegvorkhasmoreadvantagesFinally，amethodofelectrocardiogramclassificationbasedonwaveletneuralnetworkisreposedinthispaperInthismethod。electrocardiogramdataincludingthoseofPt～aveQRScomple

7、xandTwavevcerefirstlusedtotrainthe佴aVe就neuralnetwork，andthenthevaveletneuralnenvorkcouldcorrectlyclassi0boththedatausedandnotusedinECGtrainingComparingtheresultsofBPnetwork，thewavelotneuralne“vorkhavebetterclassification