Search results for "AC model"

showing 7 items of 7 documents

A DC and small signal AC model for organic thin film transistors including contact effects and non quasi static regime

2017

Abstract We present a compact model for the DC and small signal AC analysis of Organic Thin Film Transistors (OTFTs). The DC part of the model assumes that the electrical current injected in the OTFT is limited by the presence of a metal/organic semiconductor junction that, at source, acts as a reverse biased Schottky junction. By including this junction, modeled as a reverse biased gated diode at source, the DC model is able to reproduce the scaling of the electrical characteristics even for short channel devices. The small signal AC part of the model uses a transmission line approach in order to compute the impedances of the channel and parasitic regions of the device. The overlap capacit…

DC modelMaterials scienceContact effectsparasitic capacitanceSchottky barrierOrganic thin film transistors02 engineering and technologyHybrid-pi model01 natural sciencesSignalNon-quasi static small signal modelBiomaterialsOrganic thin film transistors; DC model; AC model; Contact effects; parasitic capacitance; Non-quasi static small signal modelParasitic capacitanceTransmission line0103 physical sciencesHardware_INTEGRATEDCIRCUITSMaterials ChemistryAC modelElectrical and Electronic EngineeringElectrical impedance010302 applied physicsbusiness.industryGeneral Chemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsOrganic semiconductorThin-film transistorOptoelectronics0210 nano-technologybusinessOrganic Electronics
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Three-dimensional cardiac computational modelling: methods, features and applications

2015

[EN] The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty …

Engineeringmedicine.medical_treatmentFibre orientationReviewCardiac conduction system (CCS)computer.software_genreField (computer science)Cardiac Resynchronization TherapyCardiac modellingImage Processing Computer-AssistedMyocytes CardiacPrecision MedicineBiophysical simulationDecision Making Computer-AssistedBiological dataComputational modelRadiological and Ultrasound TechnologyCardiac electrophysiologyModels CardiovascularBiophysical PhenomenaGeneral MedicineBiomechanical PhenomenaElectrophysiologyRabbitsThree-dimensional (3D) modellingHeart DiseasesPersonalisationPatient-specific modellingCardiologyCardiac resynchronization therapyBiomedical EngineeringMachine learningBiophysical PhenomenaTECNOLOGIA ELECTRONICABiomaterialsDogsHeart Conduction SystemmedicineAnimalsHumansComputer SimulationRadiology Nuclear Medicine and imagingbusiness.industryMyocardiumExperimental dataImage segmentationCardiac image segmentationComputational modellingArtificial intelligencebusinesscomputerBioMedical Engineering OnLine
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On resampling schemes for particle filters with weakly informative observations

2022

We consider particle filters with weakly informative observations (or `potentials') relative to the latent state dynamics. The particular focus of this work is on particle filters to approximate time-discretisations of continuous-time Feynman--Kac path integral models -- a scenario that naturally arises when addressing filtering and smoothing problems in continuous time -- but our findings are indicative about weakly informative settings beyond this context too. We study the performance of different resampling schemes, such as systematic resampling, SSP (Srinivasan sampling process) and stratified resampling, as the time-discretisation becomes finer and also identify their continuous-time l…

FOS: Computer and information sciencesHidden Markov modelparticle filterStatistics and ProbabilityProbability (math.PR)Markovin ketjutStatistics - ComputationMethodology (stat.ME)resamplingFOS: Mathematicsotantanumeerinen analyysiPrimary 65C35 secondary 65C05 65C60 60J25Statistics Probability and UncertaintyFeynman–Kac modeltilastolliset mallitComputation (stat.CO)path integralMathematics - ProbabilityStatistics - Methodologystokastiset prosessit
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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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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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Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset

2021

[EN] In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to decrease with increased structural tissue remodeling, referred to as fibrosis. In addition to the isolation of the pulmonary veins, fibrotic sites are considered a suitable target for catheter ablation. However, it remains an open challenge to find fibrotic areas and to differentiate their density and transmurality. This study aims to identify the volume fraction and transmurality of fibrosis in the atrial substrate. Simulated cardiac electrograms, combined with a generalized model of clinical noise, reproduce clinically measured signals. Our hybrid dataset approach combines in silico and clinic…

TECNOLOGIA ELECTRONICABidomainMachine learningDensityCardiac modelingddc:620Atrial fibrillationFibrosisEngineering & allied operationsTransmurality
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Étude de la Dynamique des Ondes Spirales à l'Échelle Cellulaire par Modèles Expérimental et Numérique

2012

Among the death due to the cardiac problems, the arrhythmias play a major role, particularly the atrial disorders. This alarming situation attracts an intense research, but it is still limited by the availability of experimental models to reproduce the triggering mechanisms of arrhythmias at the cellular level and extensions of these anomalies. Whether they occur on a healthy or pathological heart, or they are benign or potentially dangerous (risk of sudden death), the arrhythmias constitute an important chapter of the cardiology. This thesis is interested in the studying and modeling of the arrhythmias at a cellular scale. Thus the problems of this thesis can be summarized briefly by the f…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingmulti-electrodes arrayonde spirale[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingmodélisation cardiaquedynamique cardiaquestimulation sous-seuilspiral wavefibrillation atriale[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingcardiac dynamicsatrial fibrillationsub-threshold stimulationcardiac models[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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