0000000000018561

AUTHOR

Javier Saiz

0000-0002-9850-0825

showing 11 related works from this author

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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Analysis of in-silico body surface P-wave integral maps show important differences depending on the connections between coronary sinus and left atrium

2016

The electrical connections between the atrial coronary sinus (CS) and the left atrial (LA) myocardium have an effect on the overall atrial activation pattern and the P-wave morphology. In this study, we use our validated multi-scale 3D human atrial-torso model to elucidate which electro-anatomical configuration of connections between CS and LA more accurately reproduces a set of body surface P-wave integral maps (BSPiM) acquired in the clinic. We performed atrial biophysical simulations by pacing in distal and proximal LA sites. The corresponding in-silico BSPiM were then computed and compared with published clinical patterns obtained from patients. Important differences in BSPiM were obser…

medicine.medical_specialty0206 medical engineeringP waveLeft atrium02 engineering and technologyAnatomyAtrial activation020601 biomedical engineering030218 nuclear medicine & medical imaging03 medical and health sciencesOstium0302 clinical medicinemedicine.anatomical_structureLeft atrialInternal medicineBody surfacecardiovascular systemmedicineCardiologycardiovascular diseasesCoronary sinusMathematics
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Modelización computacional cardiaca

2020

[EN] Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's response. Within this framework, the Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been launched. The general objective of the VHeart-SN network is the development of an integrated, modular and multiscale multiphysical computational model of the heart. This general objective is addressed through the following spe…

Modelos cardiovascularesHeart DiseasesDisease030204 cardiovascular system & hematologyPatient-specific modelsTECNOLOGIA ELECTRONICA03 medical and health sciencesMultiscale modelling0302 clinical medicineHumansMedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesEconomic impact analysisModelos cardiacosModelos específicos de pacienteComputational modelCardiovascular modelsbusiness.industryModelos multiescalaHeartGeneral MedicineModular design3. Good healthCardiac modelsRisk analysis (engineering)business
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Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study

2010

[EN] The use of anti-arrhythmic drugs is common to treat heart rhythm disorders. Computational modeling and simulation are powerful tools that can be used to investigate the effects of specific drugs on cardiac electrophysiology. In this work a patient-specific anatomical heart model is built to study the effects of dofetilide, a drug that affects IKr current in cardiac cells. We study the multi-scale effects of the drug, from cellular to organ level, by simulating electrical propagation on tissue coupled cellular ion kinetics for several heart beats. Different cell populations configurations namely endocardial, midmyocardial and epicardial are used to test the effect of tissue heterogeneit…

Drugtherapy planningCardiac electrophysiologyHeart rhythm disordersComputer sciencemedia_common.quotation_subjectComputer Science (all)Cardiac electrophysiologyDofetilide3d modelmulti-scale modelingsimulationdrug cardio-toxicityTheoretical Computer ScienceTECNOLOGIA ELECTRONICAdrug modelingCardiac electrophysiology; drug cardio-toxicity; drug modeling; multi-scale modeling; simulation; therapy planning; Computer Science (all); Theoretical Computer SciencemedicineHeart beatAction potential durationNeurosciencemedicine.drugmedia_common
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Ventricular Tachycardia and Early Fibrillation in Patients With Brugada Syndrome and Ischemic Cardiomyopathy Show Predictable Frequency-Phase Propert…

2015

[EN] Background¿ Ventricular fibrillation (VF) has been proposed to be maintained by localized high-frequency sources. We tested whether spectral-phase analysis of the precordial ECG enabled identification of periodic activation patterns generated by such sources. Methods and Results¿Precordial ECGs were recorded from 15 ischemic cardiomyopathy and 15 Brugada syndrome (type 1 ECG) patients during induced VF and analyzed in the frequency-phase domain. Despite temporal variability, induced VF episodes lasting 19.6±7.9 s displayed distinctly high power at a common frequency (shared frequency, 5.7±1.1 Hz) in all leads about half of the time. In patients with Brugada syndrome, phase analysis of …

Adultmedicine.medical_specialty5electrocardiographyInfarctionVentricular tachycardiaTECNOLOGIA ELECTRONICAElectrocardiographyPhysiology (medical)Internal medicinemedicineHumansBrugada syndromeMyocardial infarctioncardiovascular diseasesVentricular fibrillationBrugada syndromeAgedFibrillationIschemic cardiomyopathymedicine.diagnostic_testbusiness.industry106Original ArticlesMiddle Agedmedicine.diseaseventricular fibrillationMyocardial infarctionmyocardial infarctionVentricular TachycardiaAnesthesiaVentricular fibrillationCardiologyComputingMethodologies_DOCUMENTANDTEXTPROCESSINGTachycardia Ventricularmedicine.symptomCardiology and Cardiovascular MedicinebusinessCardiomyopathiesElectrophysiologic Techniques CardiacElectrocardiography
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Small bowel motility: relationship between smooth muscle contraction and electroenterogram signal.

2000

A study is made to correlate the electrical and mechanical activity of the smooth muscle of the small bowel. Bioelectrical signal recording from the intestinal serosa (electroenterogram) comprises a slow wave (SW) and spike burst (SB), though only the latter reflects intestinal pressure. The electroenterogram and smooth muscle pressure are simultaneously recorded in the canine small bowel. Spectral and time series analysis of the electroenterogram are performed to establish those electrical parameters that best reflect intestinal pressure. The results reveal an underlying correlation between the estimated parameters of electrical activity and smooth muscle pressure. In addition, parameters …

PeriodicityDuodenumManometryBiomedical EngineeringBiophysicsContext (language use)ElectromyographySignalDogsIntestine SmallmedicinePressureAnimalsBiosignalmedicine.diagnostic_testElectrical impedance myographyChemistryElectromyographyMyographySpectral densityMuscle SmoothSignal Processing Computer-AssistedAnatomySmooth muscle contractionFastingPostprandial PeriodJejunumLinear Modelsmedicine.symptomGastrointestinal MotilityBiomedical engineeringMuscle contractionMuscle ContractionMedical engineeringphysics
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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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Factors affecting basket catheter detection of real and phantom rotors in the atria: A computational study

2018

[EN] Anatomically based procedures to ablate atrial fibrillation (AF) are often successful in terminating paroxysmal AF. However, the ability to terminate persistent AF remains disappointing. New mechanistic approaches use multiple-electrode basket catheter mapping to localize and target AF drivers in the form of rotors but significant concerns remain about their accuracy. We aimed to evaluate how electrode-endocardium distance, far-field sources and inter-electrode distance affect the accuracy of localizing rotors. Sustained rotor activation of the atria was simulated numerically and mapped using a virtual basket catheter with varying electrode densities placed at different positions withi…

Ablation TechniquesNormalization propertyTime FactorsPhysiologymedicine.medical_treatmentAction Potentials02 engineering and technology030204 cardiovascular system & hematologylaw.invention0302 clinical medicineModelslawHeart RateMedicine and Health SciencesMapping cathetersCardiac Atrialcsh:QH301-705.5Numerical AnalysisEcologyRotor (electric)HeartAblationElectrophysiologyComputational Theory and Mathematicsmedicine.veinModeling and SimulationRotorsPhysical SciencesInferior Vena CavaEngineering and TechnologyAnatomyBasket catheterArrhythmiaInterpolationResearch ArticleBiotechnologyMaterials scienceCatheters0206 medical engineeringPhase (waves)CardiologyInferior vena cavaModels BiologicalMembrane PotentialImaging phantomVeinsTECNOLOGIA ELECTRONICA03 medical and health sciencesCellular and Molecular NeuroscienceAblation Techniques; Action Potentials; Atrial Fibrillation; Computational Biology; Computer Simulation; Heart Atria; Heart Conduction System; Heart Rate; Humans; Models Biological; Time FactorsHeart Conduction SystemPhase analysisGeneticsmedicineHumansComputer SimulationHeart AtriaMolecular BiologyEcology Evolution Behavior and SystematicsMechanical EngineeringComputational BiologyBiology and Life SciencesBiological020601 biomedical engineeringAtrial fibrillationInterpolationlcsh:Biology (General)Cardiovascular AnatomyBlood VesselsMedical Devices and EquipmentMathematicsBiomedical engineeringEndocardium
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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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Modelización computacional cardiaca

2020

Resumen Las enfermedades cardiovasculares tienen en la actualidad un gran impacto social y economico y constituyen una de las principales causas de mortalidad y morbilidad. Los modelos computacionales personalizados del corazon estan demostrando ser utiles tanto para ayudar a comprender los mecanismos subyacentes a las patologias cardiacas como para optimizar su tratamiento prediciendo la respuesta del paciente. En este contexto, se ha puesto en marcha la Red Espanola de Investigacion en Modelizacion Computacional Cardiaca (V-Heart SN). El objetivo general de V-Heart SN es el desarrollo de un modelo computacional multifisico y multiescala integrado del corazon. Este objetivo general se abor…

Modelos cardiovasculares030204 cardiovascular system & hematologyPatient-specific modelsCor -- Models03 medical and health sciencesMultiscale modelling0302 clinical medicineVirtual heartMedicineMultiscale modelingModelos cardiacosModelos específicos de pacienteCardiovascular modelsModelització multiescala:Física [Àrees temàtiques de la UPC]business.industryElectromechanical modellingHemodynamicsModelos multiescalaHemodynamics modelsHemodinàmicaHeart--Models3. Good healthCardiac modelsCardiology and Cardiovascular MedicinebusinessHumanities
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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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