Search results for "Conduction system"

showing 10 items of 54 documents

Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSO.

2012

The present study introduces sparse modeling for the estimation of propagation patterns in intracardiac atrial fibrillation (AF) signals. The estimation is based on the partial directed coherence (PDC) function, derived from fitting a multivariate autoregressive model to the observed signals. A sparse optimization method is proposed for estimation of the model parameters, namely, the adaptive group least absolute selection and shrinkage operator (aLASSO). In simulations aLASSO was found superior to the commonly used least-squares (LS) estimation with respect to estimation performance. The normalized error between the true and estimated model parameters dropped from 0.200.04 for LS estimatio…

Normalization (statistics)Computer scienceBiomedical EngineeringHealth InformaticsGroup lassoSensitivity and SpecificityPattern Recognition AutomatedHeart Conduction SystemStatisticsAtrial FibrillationCoherence (signal processing)AnimalsHumansComputer SimulationDiagnosis Computer-AssistedTime series1707ShrinkageSparse matrixPropagation patternModels CardiovascularReproducibility of ResultsElectroencephalographySignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaAlgorithmAlgorithmsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Comparison of complex fractionated atrial electrograms at cellular scale using numerical and experimental models.

2010

This study investigates the existence of the pseudo complex fractionated atrial electrogram (CFAE) at cellular level. Our assumptions are based on the fact that CFAEs are linked to the generation of the spiral waves. These are created using a numerical model and an experimental model of in vitro culture of neonatal rats cardiac cells. Pseudo bipolar electrograms resulting from these two models are compared qualitatively and some patterns could be identified as CFAE signature.

PhysicsScale (ratio)Experimental modelModels CardiovascularAction PotentialsNumerical modelsCellular levelElectrocardiographyBiological ClocksHeart Conduction SystemAtrial FibrillationAnimalsHumansComputer SimulationMyocytes CardiacHeart AtriaBiological systemCellular biophysicsBiomedical engineeringAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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QT interval heterogeneities induced through local epicardial warming/cooling. An experimental study

2014

[EN] ntroduction and objectives Abnormal QT interval durations and dispersions have been associated with increased risk of ventricular arrhythmias. The present study examines the possible arrhythmogenic effect of inducing QT interval variations through local epicardial cooling and warming. Methods In 10 isolated rabbit hearts, the temperatures of epicardial regions of the left ventricle were modified in a stepwise manner (from 22 °C to 42 °C) with simultaneous electrogram recording in these regions and in others of the same ventricle. QT and activation-recovery intervals were determined during sinus rhythm, whereas conduction velocity and ventricular arrhythmia induction were determined dur…

Programmed stimulationmedicine.medical_specialtyHot TemperatureArritmiaQT intervalNerve conduction velocityElectrofisiologíaTECNOLOGIA ELECTRONICAElectrocardiographyEstimulación eléctricaHeart Conduction SystemHeart RateInternal medicinemedicineAnimalsVentricular FunctionSinus rhythmVentrículo izquierdobusiness.industryArrhythmias CardiacGeneral MedicineHypothermiaLeft ventricleElectric StimulationCold TemperatureElectrophysiologyElectrophysiologyIncreased riskmedicine.anatomical_structureVentricleAnesthesiaElectrical stimulationCardiologyRabbitsmedicine.symptombusinessPericardiumArrhythmia
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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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Morphometry and comparative histology of sinus and atrioventricular nodes in humans and pigs and their relevance in the prevention of nodal arrhythmi…

2019

The cardiac conduction system is a network structure that allows the initiation and fast propagation of electrical impulses that trigger the electrical depolarization of the myocardial tissue. The purpose of this work is to study the histological and morphometric characteristics of the different components of the sinus and atrioventricular nodes in humans and pigs and their relationship with supraventricular arrhythmias. In this study, we describe the morphometry of the sinus and atrioventricular nodes of 10 adult humans and 10 pig hearts. A computerized morphometric study has been carried out, where we determined the number of cells that compose the nodes as well as different parameters re…

Swine040301 veterinary sciencesBiology0403 veterinary science03 medical and health sciencesHeart Conduction SystemmedicineAnimalsHumansdiameter [Area]Intermediate filamentsHeart AtriaHistology Comparativecardiovascular diseasesSinus (anatomy)Sinoatrial Node030304 developmental biology0303 health sciencesSupraventricular arrhythmiaGeneral VeterinaryT cellArrhythmias CardiacHistologyDepolarization04 agricultural and veterinary sciencesAnatomyAtrioventricular nodemedicine.anatomical_structureConduction systemAtrioventricular NodeP cellcardiovascular systemDesminElectrical conduction system of the heartNODALResearch in Veterinary Science
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A muscarinic mechanism inhibiting the release of noradrenaline from peripheral adrenergic nerve fibres by nicotinic agents.

1968

SympathomimeticsMalemedicine.medical_specialtySympathetic nervous systemSympathetic Nervous SystemReceptors DrugGuinea PigsAdrenergicParasympathomimeticsPharmacologyPiperazinesNorepinephrine (medication)NorepinephrineHeart Conduction SystemInternal medicineMuscarinic acetylcholine receptormedicineAnimalsHeart AtriaSympathomimeticsDrug AntagonismChemistryGeneral MedicinePeripheralPerfusionmedicine.anatomical_structureEndocrinologyParasympathomimeticsFemaleRabbitsDrug Antagonismmedicine.drugResearch Article
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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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Fast proton conduction in hydrogen bonded microheterogeneous systems: Bis(2-ethylhexyl)phosphoric acid/N-methyl formamide liquid mixtures

2009

Structural and dynamical properties of bis(2-ethylhexyl)phosphoric acid (HDEHP)/N-methyl formamide (NMF) liquid mixtures in the whole composition range have been investigated by Fourier Transform Infrared spectroscopy (FT-IR), X-rays Diffraction (XRD), and AC complex impedance spectroscopy. Driven by hydrogen bond interactions among HDEHP PO(4)H group and NMF CO and NH groups, and also by steric effects among the HDEHP alkyl chains, the system microstructure is mainly characterized by the coexistence of spatially separated hydrophilic and hydrophobic nanodomains showing local organization and short-range order. The evolution of this structural feature with system composition has been highli…

chemistry.chemical_classificationFormamideHydrogen bondAnalytical chemistryInfrared spectroscopyFast proton conduction systems Microheterogeneous liquid mixtures Bis(2-ethylhexyl)phosphoric acid N-methyl formamidePercolation thresholdSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsBiomaterialschemistry.chemical_compoundColloid and Surface ChemistrychemistryX-ray crystallographyFourier transform infrared spectroscopyPhosphoric acidAlkylSettore CHIM/02 - Chimica FisicaJournal of Colloid and Interface Science
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Dofetilide effects on the inhibition by trains of subthreshold conditioning stimuli.

2004

We investigated the electrophysiological actions of dofetilide upon the ventricular myocardium to determine whether the drug modifies the inhibitory effects of subthreshold stimuli trains upon ventricular refractoriness. In nine Langendorff perfused rabbit hearts, ventricular epicardial electrodes were used to determine the following parameters at baseline and during dofetilide perfusion (0.5 micromolar): effective (ERP) and functional (FRP) refractory periods, conduction velocity (CV), wavelength (WL), and ERP prolongation (inhibitory effect) induced by subthreshold stimuli trains (STr) at pulse frequencies of 100, 300, and 600 Hz. Dofetilide significantly prolongs ventricular refractorine…

medicine.medical_specialtyCardiac Complexes PrematureRefractory Period ElectrophysiologicalHeart VentriclesDofetilideStimulationInhibitory postsynaptic potentialNerve conduction velocityElectrocardiographyHeart Conduction SystemInternal medicinePhenethylaminesmedicinePotassium Channel BlockersAnimalsSulfonamidesDose-Response Relationship DrugSubthreshold conductionPulse (signal processing)business.industryCardiac Pacing ArtificialGeneral MedicineElectric StimulationElectrophysiologyAnesthesiaModels AnimalCardiologyRabbitsCardiology and Cardiovascular MedicinebusinessPerfusionAnti-Arrhythmia Agentsmedicine.drugPacing and clinical electrophysiology : PACE
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A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions during Atrial Fibrillation

2017

Objective: This study introduces a predictability framework based on the concept of Granger causality (GC), in order to analyze the activity and interactions between different intracardiac sites during atrial fibrillation (AF). Methods: GC-based interactions were studied using a three-electrode analysis scheme with multi-variate autoregressive models of the involved preprocessed intracardiac signals. The method was evaluated in different scenarios covering simulations of complex atrial activity as well as endocardial signals acquired from patients. Results: The results illustrate the ability of the method to determine atrial rhythm complexity and to track and map propagation during AF. Conc…

medicine.medical_specialtyComputer science0206 medical engineeringAtrial fibrillation (AF)Biomedical EngineeringCardiac activity02 engineering and technology030204 cardiovascular system & hematologyIntracardiac injectionmulti-variate autoregressive (MVAR) modeling03 medical and health sciences0302 clinical medicineHeart Conduction SystemInternal medicineAtrial Fibrillationmultielectrode cathetermedicineHumansComputer SimulationPredictabilityModels Statisticalbusiness.industryBody Surface Potential MappingModels CardiovascularPattern recognitionAtrial fibrillationmedicine.disease020601 biomedical engineeringRandom variateAutoregressive modelData Interpretation Statisticalbipolar electrograms (EGMs)Multivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyGranger causality (GC)Artificial intelligencebusiness
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