简介：ＡＤＹＮＡＭＩＣＥＣＧＭＯＮＩＴＯＲＩＮＧＡＮＤＲＥＣＯＲＤＩＮＧＳＹＳＴＥＭＬｉｊｕｎＴｉａｎ，ＺｏｎｇｚｈａｎＤｕ，ＤｏｎｇｑｉｎｇＷａｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＥｌｅｃｔｒｉｃａｌＰｏｗｅｒＳｈａｎｄｏｎｇＰｏｌｙｔｅｃｈｎｉｃＵｎｉｖｅｒ...

简介：

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：

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：

简介：Recentinterestinmobile-basedhealthcarehasdrivensignificantdemandsonresearchingnon-contactelectrodesforelectrocardiogram(ECG)measurement.Whiletheconductivegelachievestherequirementinmakingagoodcontactbetweentheelectrodesandskin,severalproblemsappear.Agel-free,non-contactelectrodebasedoncapacitivecouplingtheorywasprovidedinthispaper,whichwasintegratedontheprintcircuitboard(PCB).TheexperimentalresultsshowedthatclearECGsignalscouldbeacquiredinthelaboratoryconditionsbycouplingtheelectrodestothechestofpatientsthroughcottonbelts.

简介：以MIT-BIH作为ECG分析样本,基于LabVIEW设计程序并输出了不同条件下ECG的相图,再通过与周期及随机信号相比较,展现了ECG高度的混沌特征。

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：胎儿的ECG抽取为胎儿的监视有重要意义。这份报纸介绍基于适应线性神经网络提取胎儿的ECG的一个方法。方法能被认识到bytraining数据的小数量。另外，更好的结果能被改进神经网络结构完成。因此，更容易鉴别胎儿的ECG能被提取。试验性的结果证明适应线性神经网络能被用来有效地从母亲的腹的信号提取胎儿的ECG。而且，更清楚的胎儿的ECG能被改进神经网络结构提取。

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：

简介：

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.

简介：

简介：ECG-6511是医院常见的便携式单导心电图机，具有抗干扰性能好，操作方便、蓄电池容量大等优点。如果电源、充电电路出现故障，蓄电池能量不足，就失去便携功能。对该机出现的电源、充电故障现象、电路原理进行了论述。

简介：Objective:Therandomizedcontrolledtrial(ClinicalTrials.govidentifierNCT02990741)willinvestigatewhethermorefrequentelectrocardiographic(ECG)recordingsandanalyseswithanautomatedECGsystemwouldimprovedetectionofatrialfibrillationcomparedwithasingleannualECGscreeninelderlyChineseincommunityhealthcenters.Design:Menandwomen(≥65years)willberandomizedintointensive(n=3500)andusual(n=3500)screeninggroups,andwithintheintensivescreeninggroupintointensivescreening(n=2625)andmoreintensivescreening(n=875)subgroups.ECGrecordingswillbeperformedwithanautomatedECGanalysissystem(AliveCorheartmonitor)at1yearintheusualscreeninggroup,at3,6,9,and12monthsintheintensivescreeningsubgroup,andat1,2,3,and4weeksand3,6,9,and12monthsinthemoreintensivescreeningsubgroup.Theprimaryoutcomeisthedetectionrateofatrialfibrillationbetweentheusualscreeninggroupandtheintensivescreeninggroup.Samplesizeestimationwasbasedonaprojecteddetectionrateofatrialfibrillationof2.0%byasingleECGrecordingat12months,animprovementof50%withmorefrequentECGrecordings,α=0.05,powerof80%,andaone-sidedtest.Conclusions:ThetrialwillprovideevidenceontheclinicaleffectivenessofmorefrequentECGrecordingsbyahandheldautomatedanalysissysteminthedetectionofatrialfibrillation.