Search results for " arrhythmia"

showing 10 items of 79 documents

Development and Long-Term Follow-Up of an Experimental Model of Myocardial Infarction in Rabbits

2020

Simple Summary Ischemic heart disease is one of the leading causes of death. A series of processes occur during acute myocardial infarction that contribute to the development of ventricular dysfunction, with subsequent heart failure and ventricular arrhythmias, which account for most episodes of sudden cardiac death in these patients. These complications are associated with the adverse cardiac remodeling that occurs during the healing process following an acute episode. The remodeling causes the appearance of a substrate that can trigger life-threatening arrhythmias, such as tachycardia and/or ventricular fibrillation. The development of experimental models for analyzing the basic mechanism…

Programmed stimulationmedicine.medical_specialtyLong term follow upmedicine.medical_treatment030204 cardiovascular system & hematologyischemia/reperfusion injuryventricular remodelingArticle03 medical and health sciencesexperimental surgery0302 clinical medicineRisk areaInternal medicinelcsh:ZoologymedicineMyocardial infarctionlcsh:QL1-991cardiovascular diseasesVentricular remodelingLigature030304 developmental biology0303 health scienceslcsh:Veterinary medicineGeneral Veterinarybusiness.industryExperimental modelventricular arrhythmiasInfarct sizemedicine.diseasemyocardial infarctionCardiologycardiovascular systemlcsh:SF600-1100Animal Science and Zoologycardiac mappingbusinessAnimals : an Open Access Journal from MDPI
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SYNCOPE AND ARRHYTHMIAS IN PAEDIATRIC AGE

2007

SYNCOPE AND ARRHYTHMIAS IN PAEDIATRIC AGE

SYNCOPE AND ARRHYTHMIAS IN PAEDIATRIC AGE
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Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation

2021

OBJECTIVE: Respiratory sinus arrhythmia (RSA) refers to heart rate oscillations synchronous with respiration, and it is one of the major representations of cardiorespiratory coupling. Its strength has been suggested as a biomarker to monitor different conditions, and diseases. Some approaches have been proposed to quantify the RSA, but it is unclear which one performs best in specific scenarios. The main objective of this study is to compare seven state-of-the-art methods for RSA quantification using data generated with a model proposed to simulate, and control the RSA. These methods are also compared, and evaluated on a real-life application, for their ability to capture changes in cardior…

Scale (ratio)Computer scienceBiomedical EngineeringElectrocardiographyHeart RateHeart rateCoherence (signal processing)Heart rate variabilityHumansArrhythmia Sinusrespiratory sinus arrhythmiaVagal toneRespiratory systemEstimationCardiorespiratory couplingModulationbusiness.industryRespirationheart rate variabilityPattern recognitionComputational modelingCardiorespiratory coupling Computational modeling Couplings Electrocardiography Heart rate variability Modulation Respiratory Sinus ArrhythmiaSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCouplingsArtificial intelligencebusinessIEEE Transactions on Biomedical Engineering
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Complexity analysis of experimental cardiac arrhythmia

2014

International audience; To study the cardiac arrhythmia, an in vitro experimental model and Multielectrodes Array (MEA) are used. This platform serves as an intermediary of the electrical activities of cardiac cells and the signal processing / dynamics analysis. Through it the extracellular potential of cardiac cells is acquired, allowing a real-time monitoring / analyzing. Since MEA has 60 electrodes / channels dispatched in a rectangular region, it allows real-time monitoring and signal acquisition on multiple sites. The in vitro experimental model (cardiomyocytes cultures from new-born rats' heart) is directly prepared on the MEA. This carefully prepared culture has similar parameters as…

Signal processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceCardiac arrhythmiaAtrial fibrillation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030204 cardiovascular system & hematologymedicine.disease01 natural sciencesApproximate entropySignal acquisitionSample entropy03 medical and health sciencesExtracellular potential0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesmedicinecardiovascular systemEntropy (information theory)010306 general physics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingBiomedical 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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Mechanism of Sinoatrial Node Dysfunction in a RyR 2 R420Q Mouse Model Ofcatecholaminergic Polymorphic Ventricular Tachycardia

2017

Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a genetic disease characterized by stress-induced syncope and/or sudden death in young individuals with structurally normal heart. More than 150 mutations located in the cardiac Ca2+ release channel (type-2 ryanodine receptor, RyR2) gene are related to CPVT. Besides ventricular tachycardia (VT) under stress, sinoatrial node (SAN) dysfunction is frequently observed in CPVT patients. However, the cellular mechanisms remain underexplored. We created a KI mice model bearing a mutation in the N-terminal portion of the RyR2 found in a CPVT family, RyR2(R420Q). ECGs were recorded in KI and WT littermates in resting condition and after…

Supraventricular arrhythmiamedicine.medical_specialtyRyanodine receptorChemistrySinoatrial nodeBiophysicsDiastoleCatecholaminergic polymorphic ventricular tachycardiamedicine.diseaseVentricular tachycardiaRyanodine receptor 2Sudden deathmedicine.anatomical_structureEndocrinologyInternal medicinecardiovascular systemmedicineBiophysical Journal
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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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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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In silico pace-mapping: prediction of left vs. right outflow tract origin in idiopathic ventricular arrhythmias with patient-specific electrophysiolo…

2019

Abstract Aims A pre-operative non-invasive identification of the site of origin (SOO) of outflow tract ventricular arrhythmias (OTVAs) is important to properly plan radiofrequency ablation procedures. Although some algorithms based on electrocardiograms (ECGs) have been developed to predict left vs. right ventricular origins, their accuracy is still limited, especially in complex anatomies. The aim of this work is to use patient-specific electrophysiological simulations of the heart to predict the SOO in OTVA patients. Methods and results An in silico pace-mapping procedure was designed and used on 11 heart geometries, generating for each case simulated ECGs from 12 clinically plausible SOO…

Tachycardiamedicine.medical_specialtyRadiofrequency ablationmedicine.medical_treatmentHeart Ventricles0206 medical engineering02 engineering and technology030204 cardiovascular system & hematologylaw.invention03 medical and health sciencesElectrocardiography0302 clinical medicinelawPhysiology (medical)Internal medicinemedicineHumansComputer SimulationElectrophysiological simulationscardiovascular diseasesbusiness.industryOutflow tract ventricular arrhythmiaRadiofrequency ablationCardiac arrhythmiaArrhythmias CardiacPatient specificAblation020601 biomedical engineeringElectrophysiologymedicine.anatomical_structureVentricleIn silico pace-mappingCardiologyCatheter AblationTachycardia VentricularOutflowmedicine.symptomCardiology and Cardiovascular Medicinebusiness
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Ventricular arrhythmias in children: The uselessness of MRI

2008

Ventricular arrhythmiasSettore MED/38 - Pediatria Generale E SpecialisticaAdolescentHeart VentriclesPatient SelectionHumansArrhythmias CardiacMagnetic Resonance ImagingSettore MED/11 - Malattie Dell'Apparato Cardiovascolare
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