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1、[精品]以头夹肌肉肌电图分析实现重郁症之电脑辅助诊断(PartAnartificialneuralnetwork(ANN)ArtificialintelligenceMathematicalmodelLearningsystemComputer-aiddiagnosisMethodsandMaterialsAnartificialneuralnetwork(ANN):類神經網路2MethodsandMaterialsBackpropagationneuralnetwork(BPNN)Supervisedn
2、euralnetworkBackpropagationneuralnetwork(BPNN):倒傳遞類神經網路f1234kLf123451234abcdekLInputlayerHiddenlayerOutputlayer3MethodsandMaterialsBackpropagationneuralnetwork(BPNN)Adjustweights7MethodsandMaterialsSupportvectormachine(SVM)ClassificationStatisticsHyperpla
3、neoptimalseparatinghyperplane(OSH)supporthyperplaneMarginOSH:最佳分割超平面Supporthyperplane:支持超平面8ResultsT.O.V.AMDDHigheromissionratesHighermeanresponsetimesMorevariabilityEMGfeaturesMDDLowerEAandRMSvaluesHigherMFandMPFvalues9ResultsT.O.V.ACompareEMGComparisonb
4、ygroupsduringrestGroupsMeanSDPEA(uv)MDD22.2034.840.001Control56.5953.51RMS(uv)MDD0.120.160.000Control0.280.25MDF(PSD)MDD80.407.310.000Control73.117.77MPF(PSD)MDD84.984.190.000Control80.514.14*p<0.0510ResultsT.O.V.ACompareEMGComparisonbygroupduringTOVAGrou
5、psMeanSDPEA(uv)MDD28.4638.270.013Control65.0188.40RMS(uv)MDD0.140.180.010Control0.320.40MDF(PSD)MDD80.836.590.000Control72.796.45MPF(PSD)MDD85.223.970.000Control80.433.31*p<0.0511ResultsAccuracyAccuracyRestTOVATrainTestTrainTestBPNN92.06%76.67%87.67%76.67
6、%SVM100%83.33%98.33%83.56%12ConclusionandDiscussionMDDbecomesmoredistinguishablewhenrestingHealthcontrolshavewiderrangeofEAandMFMDDpatientshavethelowercapabilityonphysiologicalregulationHopefully,thesystemcanbeusedtodetectandtocontroltheMDDdisorderinthefu
7、ture.13References[1]J.M.DonohueandH.A.Pincus,Reducingthesocietalburdenofdepression:areviewofeconomiccosts,qualityofcareandeffectsoftreatment,Pharmacoeconomics25(2007)7.[2]P.Sobocki,B.Jonsson,J.Angst,C.Rehnberg.CostofdepressioninEurope.JMentHealthPolicyEco
8、n9(2006)87.[3]AmericanPsychiatricAssociation,Diagnosticandstatisticalmanualofmentaldisorders(AmericanPsychiatricAssociation,Washington,DC,2000).[4]R.C.Kessler,P.Berglund,O.Demler,R.Jin,D.Koretz,K.R.Merikangas,A.J.Ru