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1、ClassificationResearchofTwoStepCombinedwithLibSVMonWristPulseofEightKindsChunmingXi/ChangMaCenterforMechatronicsEngineeringEastChinaUniversityofScienceandTechnologyShanghai,P.R.Chinacmxia@eucst.edu.cnYiqinWangfeaturesofthetimeandfrequencydomainanddiffere
2、ntmethodsforclassificationisintroducedinthispaper.Arealclassificationcase,withdatasetincludingpulsewaveformsfrom303personswereperformed.Thecomparisonresultsshowedthattheclassificationperformanceisacceptable.Keywords-wristpulsewavefonn^step,similarityanal
3、ysis^patternrecognition^classificationIntroductionTheanalysisofwristpulsewaveform,asanimportantcomponentofTraditionalChineseMedical(TCM)diagnosishasalonghistory,anditisquitecommonintypicalTCMpulsepatternclassificationanddiscriminationofpatientswithaspeci
4、ficdiseasefromhealthypeople[l-2].Dependingontheexperienceofdoctors,thediagnosisoftheTCMwhichisinevitablyaffectedintheobjectivityofthediagnosticinformationisregardedasamanualprocess・Infact,itisunassailablethatTCMhasbettercurativeeffectonmanystubbornandchr
5、onicdiseasesthanwesternmedicinedoes,soitwouldbeveryusefulandnecessarytostudymoderntechniquestoprovetheobjectivityoftheTCM[3J.AccordingtotheTCMdiagnosiscriteria[1,5-6],alotofliteraturesproposedtime-domainpulsewaveformanalysisanddiagnosisapplications.LiYan
6、segmentedthewristpulse[7]andextractedfeaturesaswellasreducedthedimension[8].LiuRuipresentedanewapproachthat7kindsofclassificationmethodswereappliedonfeatureclassification,withthetotalaverageaccuracyashighasabout67%infourcommonpulseclassification,however,
7、whenappliedtothe7types,thetotalaverageaccuracyreducedsharplyto52%・[9]・HaixiaYanInthissubject,eightclassificationmethodsthatusedinthispaperarelistedasfollows:knearestneighbors(KNN),RuiGuo2FufengLi'SchoolofBasicMedicineShanghaiUniversityofTCMShanghai,P.R.C
8、hinaAbstract—Time-domainfeatureanalysisonwristpulsewaveformiscommoninTraditionalChineseMedical(TCM)engineeringanddiagnosismodernization.BasedonrelationshipbetweenpulseandthetypeofTCMsyndromeanddiseases,throughdigitalintuit
