Search results for "Atrial arrhythmia"

showing 6 items of 6 documents

Effect of intravenous flecainide on atrial vulnerability in man.

1983

Sixteen patients were investigated by means of programmed atrial stimulation at two different driving rates: 100 and 120/min. All patients had an increased atrial vulnerability at both driving rates. After intravenous flecainide application (1 mg/kg body weight as a bolus followed by the same amount given by infusion over a period of 20 min) the increased vulnerability was abolished in 11 and 9 patients respectively. In the remaining patients the rate of induced atrial tachyarrhythmia decreased. These findings correlate with a significant prolongation of the effective refractory period of the right atrium and a significant shortening of the relative refractory period of the right atrium. It…

AdultMalemedicine.medical_specialtyAdolescentRefractory periodBody weightElectrocardiographyBolus (medicine)PiperidinesHeart Conduction SystemInternal medicineDrug DiscoveryAtrial FibrillationmedicineHumanscardiovascular diseasesFlecainideGenetics (clinical)AgedFlecainidebusiness.industryAtrial vulnerabilityEffective refractory periodCardiac Pacing ArtificialGeneral MedicineAtrial arrhythmiasMiddle Agedmedicine.anatomical_structureAtrial Fluttercardiovascular systemCardiologyMolecular MedicineRight atriumFemalebusinessAnti-Arrhythmia Agentsmedicine.drugKlinische Wochenschrift
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A Novel Approach to Propagation Pattern Analysis in Intracardiac Atrial Fibrillation Signals

2010

The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordi…

Frequency analysiComputer scienceBiomedical EngineeringElectrogramAction PotentialsIntracardiac injectionPattern Recognition AutomatedSurrogate datalaw.inventionHeart Conduction SystemlawAtrial FibrillationmedicineHumansCoherence (signal processing)Computer SimulationDiagnosis Computer-AssistedSimulationFrequency analysisbusiness.industryBody Surface Potential MappingPartial directed coherenceModels CardiovascularPropagation patternAtrial fibrillationPattern recognitionAtrial arrhythmiamedicine.diseaseInformation engineeringMappingFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate autoregressive modelingArtificial intelligencebusinessSimulationAnnals of Biomedical Engineering
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Quantification of synchronization during atrial fibrillation by Shannon entropy: Validation in patients and computer model of atrial arrhythmias

2005

Atrial fibrillation (AF), a cardiac arrhythmia classically described as completely desynchronized, is now known to show a certain amount of synchronized electrical activity. In the present work a new method for quantifying the level of synchronization of the electrical activity recorded in pairs of atrial sites during atrial fibrillation is presented. A synchronization index (Sy) was defined by quantifying the degree of complexity of the distribution of the time delays between sites by Shannon entropy estimation. The capability of Sy to discriminate different AF types in patients was assessed on a database of 60 pairs of endocardial recordings from a multipolar basket catheter. The analysis…

Signal processingmedicine.medical_specialtyTime delaysPhysiologyEntropyBiomedical EngineeringBiophysicsSensitivity and SpecificitySynchronizationHeart Conduction SystemArrhythmia (mechanisms)Internal medicinePhysiology (medical)medicineHumansIn patientDiagnosis Computer-AssistedMathematicsBody Surface Potential MappingModels CardiovascularCardiac arrhythmiaReproducibility of ResultsAtrial fibrillationAtrial arrhythmiasComputer simulationmedicine.diseaseAtrial fibrillationElectrophysiologyElectrophysiologymedicine.anatomical_structureBiophysicCardiologyRight atriumAlgorithms
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Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps

2017

Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…

TachycardiaPhysiologyComputer sciencemedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologyBioinformaticsBiochemistryACTIVATIONElectrocardiography0302 clinical medicineHeart RateAtrial FibrillationMedicine and Health SciencesImage Processing Computer-AssistedDEPOLARIZATIONBody surface P-wave integral mapsCardiac AtriaAtrial ectopic beatsMultidisciplinarymedicine.diagnostic_testORIGINApplied MathematicsSimulation and ModelingP waveBody Surface Potential MappingQRHeartHUMANSaarhythmiasAblationANATOMYBioassays and Physiological Analysismachine learningPhysical SciencesAtrial ectopic beatsMedicineAtrial Premature ComplexesFIBRILLATIONmedicine.symptomTACHYCARDIAAlgorithmsResearch ArticleclusteringTachycardia Ectopic AtrialComputer and Information SciencesSVMScienceCORONARY-SINUS0206 medical engineeringCardiologyResearch and Analysis MethodsMembrane PotentialTECNOLOGIA ELECTRONICAMachine Learning Algorithms03 medical and health sciencesArtificial IntelligenceHeart Conduction SystemSupport Vector MachinesBody surfacemedicineComputer SimulationHeart AtriaCoronary sinusFibrillationbusiness.industryElectrophysiological TechniquesBiology and Life SciencesPattern recognitionAtrial arrhythmiasELECTROPHYSIOLOGY020601 biomedical engineeringMODELElectrophysiologyCardiovascular AnatomyCardiac ElectrophysiologyArtificial intelligencebusinessElectrocardiographyBiomarkersMathematics
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Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features

2021

Intracardiac devices separate atrial arrhythmias (AA) from sinus rhythm (SR) using electrogram (EGM) features such as rate, that are imperfect. We hypothesized that machine learning could improve this classification.

business.industrycardiovascular systemMedicineSinus rhythmcardiovascular diseasesAtrial arrhythmiasArtificial intelligencebusinessMachine learningcomputer.software_genrecomputerIntracardiac injection
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Effect of Atrial Capture Beats on the Subsequent Cycle During Slow Common Atrioventricular Nodal Reentry Tachycardia

2013

medicine.medical_specialtyTime Factorsmedicine.diagnostic_testbusiness.industryCardiac anatomyAtrial arrhythmiasMiddle AgedNodal diseasePredictive Value of TestsPhysiology (medical)Predictive value of testsInternal medicineAtrial captureElectrocardiography AmbulatoryTachycardia SupraventricularmedicineCardiologyHumansTachycardia Atrioventricular Nodal ReentryTachycardia ParoxysmalCardiology and Cardiovascular MedicinebusinessElectrocardiographyJournal of Cardiovascular Electrophysiology
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