以头夹肌肉肌电图分析实现重郁症之电脑辅助诊断.ppt

1,Computer-aidDiagnosisonMajorDepressiveDisorderBasedonEMGfromtheSpleniusCapitisMuscle以頭夾肌肉肌電圖分析實現重鬱症之電腦輔助診斷(Part2)2010AnnualSymposiumonBiomedicalEngineeringandTechnology,祖望Tsu-WangShen1芳芷Hsin-FangLi1陳紹祖WilliamShao-TsuChen21慈濟大學醫學資訊學系DepartmentofMedicalInformatics,TzuChiUniversity2花慈濟醫院身心醫學科DepartmentofPsychiatry,BuddhistTzu-ChiGeneralHospital,Presenter:Tzu-YuHuangAdvisor:Dr.Yen-TingChenDate:12.29.2010,2,Anartificialneuralnetwork(ANN)ArtificialintelligenceMathematicalmodelLearningsystemComputer-aiddiagnosis,MethodsandMaterials,Anartificialneuralnetwork(ANN):類神經網路,3,MethodsandMaterials,Backpropagationneuralnetwork(BPNN)Supervisedneuralnetwork,Backpropagationneuralnetwork(BPNN):倒傳遞類神經網路,4,MethodsandMaterials,Backpropagationneuralnetwork(BPNN)Input-to-hiddenWeightActivationfunction:sigmoid,Bluea=2Reda=1Greena=0.5,5,MethodsandMaterials,Backpropagationneuralnetwork(BPNN)Hidden-to-outputWeightActivationfunction:pure-linear,6,MethodsandMaterials,Backpropagationneuralnetwork(BPNN)Adjustweights,Outputlayer,7,MethodsandMaterials,Backpropagationneuralnetwork(BPNN)Adjustweights,8,MethodsandMaterials,Supportvectormachine(SVM)ClassificationStatisticsHyperplane,OSH:最佳分割超平面Supporthyperplane:支持超平面,9,Results,T.O.V.AMDDHigheromissionratesHighermeanresponsetimesMorevariabilityEMGfeaturesMDDLowerEAandRMSvaluesHigherMFandMPFvalues,10,Results,T.O.V.ACompareEMGComparisonbygroupsduringrest,*p0.05,11,Results,T.O.V.ACompareEMGComparisonbygroupduringTOVA,*p0.05,12,Results,Accuracy,13,ConclusionandDiscussion,MDDbecomesmoredistinguishablewhenrestingHealthcontrolshavewiderrangeofEAandMFMDDpatientshavethelowercapabilityonphysiologicalregulationHopefully,thesystemcanbeusedtodetectandtocontroltheMDDdisorderinthefuture.,14,References,1J.M.DonohueandH.A.Pincus,Reducingthesocietalburdenofdepression:areviewofeconomiccosts,qualityofcareandeffectsoftreatment,Pharmacoeconomics25(2007)7.2P.Sobocki,B.Jonsson,J.Angst,C.Rehnberg.CostofdepressioninEurope.JMentHealthPolicyEcon9(2006)87.3AmericanPsychiatricAssociation,Diagnosticandstatisticalmanualofmentaldisorders(AmericanPsychiatricAssociation,Washington,DC,2000).4R.C.Kessler,P.Berglund,O.Demler,R.Jin,D.Koretz,K.R.Merikangas,A.J.Rush,E.E.Walters,P.S.Wang;NationalComorbiditySurveyReplication,Theepidemiologyofmajordepressivedisorder:resultsfromtheNationalComorbiditySurveyReplication(NCS-R),JAMA289(2003)3095-105.5G.E.Simon,M.VonKorff,Recognitionandmanagementofdepressioninprimarycare,ArchFamMed4(1995)99-105.6W.KatonandP.Ciechanowski,Impactofmajordepressiononchronicmedicalillness.JPsychosomRes53(2002)859-63.7E.J.Perez-Stable,J.Miranda,R.F.Munoz,Y.W.Ying,Depressioninmedicaloutpatients.Underrecognitionandmisdiagnosis,ArchInternMed.150(1990)1083-8.8R.M.Carney,B.A.Hong,S.Kulkarni,A.Kapila,AcomparisonofEMGandSCLinnormalanddepressedsubjects.ThePavlovianjournalofbiologicalscience,16:4(1981)212-216.9A.Erfanian,etal.,EvokedEMGinelectricallystimulatedmuscleandmechanismsoffatigue,inEngineeringinMedicineandBiologySociety(1994)341-342.10E.ParkandS.G.Meek,Fatiguecompensationoftheelectromyographicsignalforprostheticcontrolandforceestimation,BiomedicalEngineering,IEEETransactionson40(1993)1019-1023.11Z.K.Moussavi,etal.,TheeffectoftreatmentformyofascialtriggerpointsontheEMGfatigueparametersofshouldermuscles,EngineeringinMedicineandBiologySocietyProceedingsofthe19thAnnualInternationalConferenceoftheIEEE3(1997)1082-1085.12S.Haykin,NeuralNetworksandLearningMachines(3rded.):PrenticeHall(2008).13J.F.Greden,N.Genero,H.L.Price,Agitation-increasedelectromyogramactivityinthecorrugatormuscleregion:apossibleexplanationoftheOmegasign?,AmJPsychiatry142(1985)348-51.14S.H.Woodward,M.J.Friedman,D.L.Bliwise,Sleepanddepressionincombat-relatedPTSDinpatients,BiologicalPsychiatry39(1996)182-92.15L.OBrien-Simpson,P.DiParsia,J.G.Simmons,andN.B.Allen,Recurrenceofmajordepr