Search results for "Body surface potential map"

showing 10 items of 14 documents

Wave similarity mapping shows the spatiotemporal distribution of fibrillatory wave complexity in the human right atrium during paroxysmal and chronic…

2005

Introduction: The complexity of waveforms during atrial fibrillation may reflect critical activation patterns for the arrhythmia perpetuation. In this study, we introduce a novel concept of map, based on the analysis of the wave morphology, which gives a direct evidence in the human right atrium on the spatiotemporal distribution of fibrillatory wave complexity in paroxysmal (PAF) and chronic (CAF) atrial fibrillation. Methods and Results: Electrograms were recorded from a 64-electrode catheter in the right atrium of 15 patients during PAF (n = 8) and CAF (n = 7). Wave similarity maps were constructed by calculating the degree of morphological similarity of activation waves (S) at each atri…

AdultMalemedicine.medical_specialtyMorphological similarityPhysiologyArrhythmia (mechanisms)Heart Conduction SystemPhysiology (medical)Internal medicineAtrial FibrillationmedicineChronic atrial fibrillationHumansWaveHeart AtriaAnatomic LocationAtrium (architecture)business.industryBody Surface Potential MappingSpatiotemporal patternAtrial fibrillationMiddle Agedmedicine.diseasemedicine.anatomical_structureMappingChronic DiseaseCardiologyRight atriumFemalebusinessLateral wallSubstrateCardiology and Cardiovascular MedicineElectrophysiologic Techniques CardiacJournal of cardiovascular electrophysiology
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Atrial activity extraction for atrial fibrillation analysis using blind source separation.

2004

This contribution addresses the extraction of atrial activity (AA) from real electrocardiogram (ECG) recordings of atrial fibrillation (AF). We show the appropriateness of independent component analysis (ICA) to tackle this biomedical challenge when regarded as a blind source separation (BSS) problem. ICA is a statistical tool able to reconstruct the unobservable independent sources of bioelectric activity which generate, through instantaneous linear mixing, a measurable set of signals. The three key hypothesis that make ICA applicable in the present scenario are discussed and validated: 1) AA and ventricular activity (VA) are generated by sources of independent bioelectric activity; 2) AA …

Computer scienceSpeech recognitionHeart VentriclesBiomedical EngineeringSignalBlind signal separationSensitivity and SpecificityElectrocardiographyRobustness (computer science)Heart Conduction SystemAtrial FibrillationmedicineHumansDiagnosis Computer-AssistedHeart AtriaPrincipal Component Analysismedicine.diagnostic_testBody Surface Potential MappingContrast (statistics)Reproducibility of ResultsAtrial fibrillationmedicine.diseaseIndependent component analysisKurtosisElectrocardiographyAlgorithmsIEEE transactions on bio-medical engineering
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Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study

2018

[EN] Introduction: Focal atrial tachycardia is commonly treated by radio frequency ablation with an acceptable long-term success. Although the location of ectopic foci tends to appear in specific hot-spots, they can be located virtually in any atrial region. Multi-electrode surface ECG systems allow acquiring dense body surface potential maps (BSPM) for non-invasive therapy planning of cardiac arrhythmia. However, the activation of the atria could be affected by fibrosis and therefore biomarkers based on BSPM need to take these effects into account. We aim to analyze the effect of fibrosis on a BSPM derived index, and its potential application to predict the location of ectopic foci in the …

Ectopic focus locationmedicine.medical_specialtyFocus (geometry)Physiologymedicine.medical_treatment0206 medical engineeringAtrial tachycardiaStructural remodelingBody surface potential map02 engineering and technologyOptimal electrode location030204 cardiovascular system & hematology3d simulationlcsh:PhysiologyTECNOLOGIA ELECTRONICA03 medical and health sciences0302 clinical medicineFibrosisPhysiology (medical)Internal medicineMedicineMachine-learningAtrial tachycardiaOriginal Researchlcsh:QP1-981business.industryCardiac electrophysiologyCardiac arrhythmiaTorsoAblationmedicine.disease020601 biomedical engineeringmedicine.anatomical_structureCardiologymedicine.symptombusinessFrontiers in Physiology
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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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Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics

2015

The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, patient-specific activation times on ventricular chambers can be estimated from electro-anatomical maps, providing crucial information to clinicians for guiding cardiac radio-frequency ablation treatment. However, some relevant electrical pathways such as those of the Purkinje system are very difficult to interpret from these maps due to sparsity of data and the limited spatial resolution of the system. We present here a novel method to estimate these fast electrical pathways from the local activati…

GeodesicHeart VentriclesAction PotentialsHealth InformaticsVentricular tachycardiaSensitivity and SpecificityVentricular Function LeftPurkinje FibersImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingImage resolutionFast marching methodSimulationMathematicsRadiological and Ultrasound Technologybusiness.industryBody Surface Potential MappingProcess (computing)Reproducibility of ResultsPattern recognitionImage Enhancementmedicine.diseaseComputer Graphics and Computer-Aided Designmedicine.anatomical_structureRadiology Nuclear Medicine and imagingVentricleSimulated dataFeasibility StudiesComputer Vision and Pattern RecognitionArtificial intelligencebusinessDistance transformAlgorithmsMedical Image Analysis
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Analysis of the extension of Q-waves after infarction with body surface map: relationship with infarct size.

2006

We aimed to characterize the extension of Q-waves after a first ST-segment elevation myocardial infarction using body surface map (BSM) and its relationship with infarct size quantified with cardiovascular magnetic resonance imaging (CMR).Thirty-five patients were studied 6 months after a first ST-segment elevation myocardial infarction (23 anterior, 12 inferior). All cases had single-vessel disease and an open artery. The extension of Q-waves was analyzed by means of a 64-lead BSM. Infarct size was quantified with CMR. Absence of Q-waves in BSM was observed in 5 patients (14%), 2 of whom (40%) had1 segment with transmural necrosis. Absence of Q-waves in 12-lead ECG was observed in 8 patien…

MaleMyocardial InfarctionInfarctionQT intervalNecrosisHeart Conduction SystemmedicineHumanscardiovascular diseasesMyocardial infarctionProspective StudiesAgedmedicine.diagnostic_testbusiness.industryBody Surface Potential MappingMagnetic resonance imagingSignal Processing Computer-AssistedMiddle Agedmedicine.diseaseMagnetic Resonance Imagingmedicine.anatomical_structureCirculatory systemcardiovascular systemFemaleElectrical conduction system of the heartCardiology and Cardiovascular MedicinebusinessNuclear medicineElectrocardiographyArteryInternational journal of cardiology
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A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images.

2007

The integration of electroanatomic maps with highly resolved computed tomography cardiac images plays an important role in the successful planning of the ablation procedure of arrhythmias. In this paper, we present and validate a fully-automated strategy for the registration and fusion of sparse, atrial endocardial electroanatomic maps (CARTO maps) with detailed left atrial (LA) anatomical reconstructions segmented from a pre-procedural MDCT scan. Registration is accomplished by a parameterized geometric transformation of the CARTO points and by a stochastic search of the best parameter set which minimizes the misalignment between transformed CARTO points and the LA surface. The subsequent …

MaleRadiology Nuclear Medicine and ImagingPhysics and Astronomy (miscellaneous)Computer sciencemedicine.medical_treatmentBiomedical EngineeringComputed tomographySensitivity and SpecificityPattern Recognition AutomatedImaging Three-DimensionalLeft atrialArtificial IntelligenceAtrial FibrillationmedicineHumansComputer visionStochastic Processesmedicine.diagnostic_testRadiological and Ultrasound Technologybusiness.industryGeometric transformationBody Surface Potential MappingReproducibility of ResultsAblationCatheterSubtraction TechniqueFemaleArtificial intelligencebusinessTomography X-Ray ComputedAlgorithmsPhysics in medicine and biology
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Correlation between atrial fibrillation driver locations and complex fractionated atrial electrograms in patients with persistent atrial fibrillation.

2018

Introduction The aim of this study was to evaluate a spatial correlation between active atrial fibrillation (AF) drivers measured by electrocardiographic imaging and complex fractionated atrial electrograms (CFAEs) in patients with persistent AF. Methods Sixteen patients with persistent AF were included. A biatrial geometry relative to an array of 252-body-surface-electrodes was obtained from a noncontrast computed tomography scan. The reconstructed unipolar AF electrograms were signal-processed (ECVUE™, CardioInsight Technologies Inc., Cleveland, OH, USA) to identify AF drivers. Before driver ablation, a biatrial mapping using the NavX system (St. Jude Medical, St. Paul, MN, USA) was perfo…

Malemedicine.medical_specialtymedicine.medical_treatment030204 cardiovascular system & hematologyArticleCorrelation03 medical and health sciencesElectrocardiography0302 clinical medicineInternal medicineAtrial FibrillationmedicineHumansIn patient030212 general & internal medicineCoronary sinusAgedAtrium (architecture)business.industryBody Surface Potential MappingAtrial fibrillationSignal Processing Computer-AssistedGeneral MedicineMiddle Agedmedicine.diseaseAblationmedicine.anatomical_structureTreatment OutcomePersistent atrial fibrillationCardiologyCatheter AblationRight atriumFemaleCardiology and Cardiovascular MedicinebusinessTomography X-Ray Computedhuman activitiesPacing and clinical electrophysiology : PACE
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Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation

2015

Atrial arrhythmias, and specifically atrial fibrillation (AF), induce rapid and irregular activation patterns that appear on the torso surface as abnormal P-waves in electrocardiograms and body surface potential maps (BSPM). In recent years both P-waves and the BSPM have been used to identify the mechanisms underlying AF, such as localizing ectopic foci or high-frequency rotors. However, the relationship between the activation of the different areas of the atria and the characteristics of the BSPM and P-wave signals are still far from being completely understood. In this work we developed a multi-scale framework, which combines a highly-detailed 3D atrial model and a torso model to study th…

Models Anatomicmedicine.medical_specialtyBODY-SURFACEVOLUME CONDUCTORCANINE RIGHTlcsh:MedicineTECNOLOGIA ELECTRONICAInternal medicineAtrial FibrillationBody surfacemedicineHumansSinus rhythmHeart Atrialcsh:ScienceFibrillationMultidisciplinaryP-WAVEmedicine.diagnostic_testbusiness.industrylcsh:RBody Surface Potential MappingP waveTorsoAtrial fibrillationAnatomyTorsoAtrial Functionmedicine.diseaseHUMAN HEARTRATE-DEPENDENCEElectrophysiologymedicine.anatomical_structurecardiovascular systemCardiologylcsh:QFIBRILLATIONmedicine.symptomSINUS RHYTHMbusinessElectrocardiographyCONDUCTION-VELOCITYResearch ArticleACTION-POTENTIALS
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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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