简介:Prematureventricularcontraction(PVC)isthemostfrequentarrhythmiaencounteredinclinicalpractice.PVCmayoccurinhealthsubjects,whichisnotimminentlylife-threateningbutmayrequiretherapiestopreventfurtherproblems.So,thetimelyPVCrecognitionbecomesveryimportantfortheanalysisofelectrocardiogram(ECG),especiallyfortheremoteECGmonitoringusingmobilephones.Inthispaper,aconstructionmethodofpersonalizedECGtemplateandaPVCrecognitionmethodbasedontemplatematchingwerestudied.Firstly,weselected43ECGrecordingsfromtheMIT-BIHarrhythmiadatabase.Allrecordingsweredividedintotwodatasets(DS1fortrainingandDS2fortesting)andeachdatasetapproximatelycontainedthesameproportionofPVCbeats.Subsequently,foreachrecording(30min)inDS1,thefirst5minrecordingswereusedtoconstructthepersonalizedECGtemplateandthelast25minrecordingswereusedfortheR-wavepeaksdetectionandPVCrecognition,wherethetemplatematchingmethodwereused.ThevalidityoftheproposedmethodswastestedusingDS2.Theresultsshowedthat:1)highbeatdetectionaccuracywasachievedforbothPVCbeatsandnon-PVCbeats;2)thesensitivityandspecificityofPVCrecognitionwere99.11%and99.96%forthefirst5minrecordingsrespectively,99.17%and99.43%forthelast25minrecordingsrespectively.Alltheproposedmethodscanbereal-timeperformed,whichshowapromisingprospectfortheapplicationofECGmobilephones.
简介:Earlyrepolarizationisawell-described,commonelectrocardiographicvariant.Itwasinitiallyfelttobebenign,butinthelasttwentyyearsasuggestedalinkbetweenspecifictypesofearlyrepolarizationandsuddencardiacdeathhasemerged.ThisassociationwashasbeentermedtheJwavesyndromeandincludesboththehighriskearlyrepolarizationandBrugadaECGpatterns.Theoddsofearlyrepolarizationchangebeingassociatedwithpooroutcomesarestillexceedinglysmall.Nevertheless,theassociationofafairlyubiquitousECGfindingwithfatalornearfatalclinicaloutcomeshasraisedconcern.Howcanweidentifythetrulyhigh-riskpatients?IfapatienthasasignificantclinicaleventwithaconcerningECGrepolarizationpattern,whatshouldbedonenext?TheauthorsofthisreviewpresentcurrentinformationregardingtheEarlyRepolarizationandBrugadaSyndromesandhowtoproceedwithdiagnosis,management,andriskstratificationwhenearlyrepolarizationchangeisobservedonECG.
简介:AUTOMATICCLASSIFICATIONOFECGUSINGARTIFICIALNEURALNETWORKSAUTOMATICCLASSIFICATIONOFECGUSINGARTIFICIALNEURALNETWORKSC.L.Peng,Z....
简介:Recentinterestinmobile-basedhealthcarehasdrivensignificantdemandsonresearchingnon-contactelectrodesforelectrocardiogram(ECG)measurement.Whiletheconductivegelachievestherequirementinmakingagoodcontactbetweentheelectrodesandskin,severalproblemsappear.Agel-free,non-contactelectrodebasedoncapacitivecouplingtheorywasprovidedinthispaper,whichwasintegratedontheprintcircuitboard(PCB).TheexperimentalresultsshowedthatclearECGsignalscouldbeacquiredinthelaboratoryconditionsbycouplingtheelectrodestothechestofpatientsthroughcottonbelts.
简介:模式经由确定的学习理论当模特儿和识别在这篇论文被介绍的为心电图(ECG)的一个方法。而不是认识到ECG表明beat-to-beat,包含很多心跳的每个ECG信号被认出。方法完全基于时间的特征(即,动力学)ECG模式,它包含ECG模式的完全的信息。一个动态模特儿被雇用表明方法,它能够产生合成ECG信号。基于动态模型,方法在下列二个阶段被显示出:鉴定(训练)阶段和识别(测试)分阶段执行。在鉴定阶段,ECG模式的动力学精确地被建模并且通过确定的学习表示了为经常的RBF神经重量。在识别阶段,当模特儿的结果被用于ECG模式识别。建议方法的主要特征是ECG模式的动力学精确地被当模特儿并且被用于ECG模式识别。用Physikalisch-TechnischeBundesanstalt(PTB)数据库的试验性的研究被包括表明途径的有效性。
简介:InviewoftheshortcomesofconventionalElectroCardioGram(ECG)compressionalgo-rithms,suchashighcomplexityofoperationanddistortionofreconstructedsignal,anewECGcompressionencodingalgorithmbasedonSetPartitioningInHierarchicalTrees(SPIHT)isbroughtoutafterstudyingtheintegerliftingschemewavelettransformindetail.Theproposedalgorithmmodifieszero-treestructureofSPIHT,establishessingledimensionalwaveletcoefficienttreeofECGsignalsandenhancestheefficiencyofSPIHT-encodingbydistributingbitsrationally,improvingzero-treesetandamelioratingclassifyingmethod.Forthisimprovedalgorithm,floating-pointcom-putationandstorageareleftoutofconsiderationanditiseasytobeimplementedbyhardwareandsoftware.Experimentalresultsprovethatthenewalgorithmhasadmirablefeaturesoflowcomplexity,highspeedandgoodperformanceinsignalreconstruction.Highcompressionratioisobtainedwithhighsignalfidelityaswell.
简介:SignificanceofECGChangesinAcuteMyocardialInfarctionSTsegmentelevationisconsideredbymostasasignofanoccludedcoronaryarteryandmyocardialischemia.CoronaryarteryocclusionusuallyisthecauseoftheacuteinfarctioninthepatientwiththattypeofECG.PatientswithacutemyocardialinfarctionwhodonotshowSTsegmentelevationyetleaktroponin,stillhaveamyocardialinfarction.
简介:这份报纸基于嵌入的网server.The系统描述一个新ECG监视电视的方法和系统的开发与网络接口和嵌入的网服务器,由ECG录音机组成因特网网络和计算机,与操作浏览器/服务者(B/S)的系统,mode.TheECG录音机被ARM9(S3C2410X)设计并且嵌入操作系统(Linux).OnceECG录音机被连接了到因特网网络,医药专家能使用因特网存取ECG的服务器
简介:ECGisanimportanttoolfortheprimarydiagnosisofheartdiseases,whichshowstheelectrophysiologyoftheheart.Inourmethod,asinglematernalabdominalECGsignalistakenasaninputsignalandthematernalP-QRS-Tcomplexesoforiginalsignalisaveragedandrepeatedandtakenasareferencesignal.LMSandRLSadaptivefiltersalgorithmsareapplied.TheresultsshowedthatthefetalECGshavebeensuccessfullydetected.TheaccuracyofDaisydatabasewasupto84%ofLMSand88%ofRLSwhilePhysioNetwasupto98%and96%forLMSandRLSrespectively.