Effects of Material Properties and Geometry on Electrocardiographic Forward Simulations

No abstract is available for this paper.

• Publication year

  2000

• Venue

  Annals of Biomedical Engineering

• Publication date

  2000-07-01

• Fields of study

  Medicine, Materials Science, Physics, Engineering

• Identifiers
  DOI 10.1114/1.1289467PMID 11016411
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Geometric modeling of the human torso using cubic hermite elements

  2007cited by this paper
• The computational performance of a high-order coupled FEM/BEM procedure in electropotential problems

  2001cited by this paper
• The effects of inhomogeneities and anisotropies on electrocardiographic fields: a 3-D finite-element study

  1997cited by this paper
• A coupled cubic hermite finite element/boundary element procedure for electrocardiographic problems

  1996cited by this paper
• ON THE CHOICE OF A DERIVATIVE BOUNDARY ELEMENT FORMULATION USING HERMITE INTERPOLATION

  1996cited by this paper
• On the contribution of volume currents to the total magnetic field resulting from the heart excitation process: a simulation study

  1996cited by this paper
• A high-order coupled finite element/boundary element torso model

  1996cited by this paper
• Comparative simulation of excitation and body surface electrocardiogram with isotropic and anisotropic computer heart models

  1995cited by this paper
• Computational studies of transthoracic and transvenous defibrillation in a detailed 3-D human thorax model

  1995cited by this paper
• Finite element models of thoracic conductive anatomy: sensitivity to changes in inhomogeneity and anisotropy

  1994cited by this paper
• Effective boundary conditions for syncytial tissues

  1994cited by this paper
• Well-posed formulation of the inverse problem of electrocardiography

  1994cited by this paper
• Comparison of measured and computed epicardial potentials from a patient-specific inverse model.

  1993cited by this paper
• Selected abstract from the Nineteenth International Congress on ElectrocardiologyECG changes induced by transient occlusion of the left circumflex coronary artery

  1993cited by this paper
• A computer heart model incorporating anisotropic propagation. II. Simulations of conduction block.

  1993cited by this paper
• A high order coupled finite element/boundary element torso model

  1993cited by this paper
• A computer model for the study of electrical current flow in the human thorax.

  1992cited by this paper
• An assessment of variable thickness and fiber orientation of the skeletal muscle layer on electrocardiographic calculations

  1991cited by this paper
• Epicardial Potential Mapping: Effects of Conducting Media on Isopotential and Isochrone Distributions

  1991cited by this paper
• Noninvasive recovery of epicardial potentials in a realistic heart-torso geometry. Normal sinus rhythm.

  1990cited by this paper
• Dielectric properties of tissues and biological materials: a critical review.

  1989cited by this paper
• The effect of torso inhomogeneities on body surface potentials quantified using "tailored" geometry.

  1989cited by this paper
• Tailored versus realistic geometry in the inverse problem of electrocardiography

  1989cited by this paper
• The analysis of cardiac function: a continuum approach.

  1988cited by this paper
• A volume conductor model of the thorax for the study of defibrillation fields

  1988cited by this paper
• Models of the electrical activity of the heart and computer simulation of the electrocardiogram.

  1988cited by this paper
• Models of the electrical activity of the heart and computer simulation of the electrocardiogram.

  1988cited by this paper
• The inverse problem in electrocardiography: solutions in terms of epicardial potentials.

  1988cited by this paper
• Forward and Inverse Electrocardiographic Calculations Using Resistor Network Models of the Human Torso

  1987cited by this paper
• The Inverse Problem in Electrocardiography: A Model Study of the Effects of Geometry and Conductivity Parameters on the Reconstruction of Epicardial Potentials

  1986cited by this paper
• The Effects of Thoracic Inhomogeneities on the Relationship Between Epicardial and Torso Potentials

  1986cited by this paper
• A Simulation Study of the Effects of Torso Inhomogeneities on Electrocardiographic Potentials, using Realistic Heart and Torso Models

  1983cited by this paper
• The Effect of High Lung Conductivity on Electrocardiographic Potentials: Results from Human Subjects Undergoing Bronchopulmonary Lavage

  1982cited by this paper
• A Comparison of Volume Conductor and Source Geometry Effects on Body Surface and Epicardial Potentials

  1980cited by this paper
• On Deriving the Electrocardiogram from Vectorcardiographic Leads

  1980cited by this paper
• The Eccentric Spheres Model as the Basis for a Study of the Role of Geometry and Inhomogeneities in Electrocardiography

  1979cited by this paper
• The Effects of Variations in Conductivity and Geometrical Parameters on the Electrocardiogram, Using an Eccentric Spheres Model

  1979cited by this paper
• Effects of varying the electrical conductivity of the medium between the heart and the body surface on the epicardial and praecordial electrocardiogram in the pig.

  1978cited by this paper
• Origin of Body Surface QRS and T Wave Potentials from Epicardial Potential Distributions in the Intact Chimpanzee

  1977cited by this paper
• Qualitative effects of thoracic resistivity variations on the interpretation of electrocardiograms: the low resistance surface layer.

  1968cited by this paper
• The specific resistance of biological material—A compendium of data for the biomedical engineer and physiologist

  1967cited by this paper
• Resistivity of Body Tissues at Low Frequencies

  1963cited by this paper
• A Theoretical Analysis of Intracavitary Blood Mass Influence on the Heart‐Lead Relationship

  1956cited by this paper

• Quantifying anatomically-based in-silico electrocardiogram variability for cardiac digital twins

  2025cites this paper
• Quantifying variabilities in cardiac digital twin models of the electrocardiogram

  2024cites this paper
• A non-conforming-in-space numerical framework for realistic cardiac electrophysiological outputs

  2024cites this paper
• A staggered-in-time and non-conforming-in-space numerical framework for realistic cardiac electrophysiology outputs

  2023influential citation
• QRS Morphology-Based EDR Signal—Factors Determining its Properties

  2022cites this paper
• Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

  2022cites this paper
• The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions

  2020cites this paper
• Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms

  2019cites this paper
• Personalized Cardiac Computational Models: From Clinical Data to Simulation of Infarct-Related Ventricular Tachycardia

  2019cites this paper
• Mapping of the electrical activity of human atria. Multiscale modelling and simulations

  2018cites this paper
• How Accurate Is Inverse Electrocardiographic Mapping?: A Systematic In Vivo Evaluation

  2018cites this paper
• Three-dimensional Multiscale Modelling and Simulation of Atria and Torso Electrophysiology

  2017cites this paper
• Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients

  2017cites this paper
• Equivalent dipole sources to estimate the influence of extracellular myocardial anisotropy in thin-walled cardiac forward models.

  2017cites this paper
• The electrical resistivity of a segment of the tail, lungs, liver, and intercostal muscles of the grass snake during in vivo cooling

  2016cites this paper
• The electrical resistance of the lungs, intercostal muscles, and kidneys in hypertensive ISIAH rats

  2016cites this paper
• Influence of Modeling Errors on the Initial Estimate for Nonlinear Myocardial Activation Times Imaging Calculated With Fastest Route Algorithm

  2016cites this paper
• Transmural, interventricular, apicobasal and anteroposterior action potential duration gradients are all essential to the genesis of the concordant and realistic T wave: A whole-heart model study.

  2016cites this paper
• A New Algorithm to Diagnose Atrial Ectopic Origin from Multi Lead ECG Systems - Insights from 3D Virtual Human Atria and Torso

  2015influential citation
• Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation

  2015cites this paper
• Forward Problem of Electrocardiography: Is It Solved?

  2015cites this paper
• Reconstruction of normal and abnormal gastric electrical sources using a potential based inverse method

  2013cites this paper
• Toward the virtual stomach: progress in multiscale modeling of gastric electrophysiology and motility

  2013cites this paper
• Noninvasive Imaging of Cardiac Electrophysiology (NICE)

  2012cites this paper
• Electrophysiology - From Plants to Heart

  2012cites this paper
• Biophysical Modeling using Cellular Automata

  2011influential citation
• Predicting Tissue Conductivity Influences on Body Surface Potentials—An Efficient Approach Based on Principal Component Analysis

  2011cites this paper
• Impact of Physiological Ventricular Deformation on the Morphology of the T-Wave: A Hybrid, Static-Dynamic Approach

  2011cites this paper
• Ranking the Influence of Tissue Conductivities on Forward-Calculated ECGs

  2010influential citation
• Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials

  2010cites this paper
• Methods for Analysing the Sensitivities of Bioelectric Measurements

  2010cites this paper
• Arrhythmic risk biomarkers for the assessment of drug cardiotoxicity: from experiments to computer simulations

  2010cites this paper
• How Do Tissue Conductivities Impact on Forward-calculated ECGs? An Efficient Prediction Based on Principal Component Analysis

  2009cites this paper
• Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform

  2009cites this paper
• Electrocardiographic Simulation on Coupled Meshfree-BEM Platform

  2009cites this paper
• Computational cardiac atlases: from patient to population and back

  2009cites this paper
• Noninvasive volumetric imaging of cardiac electrophysiology

  2009cites this paper
• Effect of Cardiac Motion on Solution of the Electrocardiography Inverse Problem

  2009cites this paper
• The application of subspace preconditioned LSQR algorithm for solving the electrocardiography inverse problem.

  2009cites this paper
• Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations

  2008cites this paper
• Patient-Specific Volume Conductor Modeling for Non-Invasive Imaging of Cardiac Electrophysiology

  2008cites this paper
• From cardiac electrical activity to the ECG

  2008cites this paper
• Two hybrid regularization frameworks for solving the electrocardiography inverse problem

  2008cites this paper
• Spatial-temporal filter effect in a computer model study of ventricular fibrillation / Räumlicher und zeitlicher Filtereffekt in einer Computermodellstudie zum Herzkammerflimmern

  2008cites this paper
• A training whole-heart model for simulating propagation and ECG patterns

  2007cites this paper
• Attacking the Inverse Electromagnetic Problem of the Heart with Computationally Compatible Anatomical and Histological Knowledge

  2007cites this paper
• A Fast Volume Conductor Segmentation and Modeling Pipeline for NICE

  2007cites this paper
• AAM-based Segmentation for Imaging Cardiac Electrophysiology

  2007cites this paper
• GENE EXPRESSION OF STRETCH‐ACTIVATED CHANNELS AND MECHANOELECTRIC FEEDBACK IN THE HEART

  2006cites this paper
• Multiscale modelling of human gastric electric activity: can the electrogastrogram detect functional electrical uncoupling?

  2006cites this paper
• Cardiac anisotropy: is it negligible regarding noninvasive activation time imaging?

  2006influential citation
• Semiautomatic Volume Conductor Modeling Pipeline for Imaging the Cardiac Electrophysiology Noninvasively

  2006cites this paper
• Assessment of Cardiac Performance with Magnetic Resonance Imaging

  2006cites this paper
• Computational Simulations of the Human Magneto- and Electroenterogram

  2006cites this paper
• Anatomically Realistic Torso Model For Studying the Relative Decay of Gastric Electrical and Magnetic Fields

  2006cites this paper
• Finite element modelling and simulations in cardiovascular mechanics and cardiology: A bibliography 1993–2004

  2005cites this paper
• SPATIOTEMPORAL WAVEFRONT PROPAGATION IN 3D GEOMETRIC EXCITABLE HEART TISSUE

  2005cites this paper
• Challenges Facing Validation of Noninvasive Electrical Imaging of the Heart

  2005cites this paper
• Modeling Cardiac Bioelectricity in Realistic Volumes: How Real is Real?

  2005cites this paper
• Theory, modelling and applications of electrocardiographic mapping

  2004cites this paper
• The Forward Problem of Electrocardiography: Theoretical Underpinnings and Applications

  2004cites this paper
• NEW COMBINED ELECTROCHEMICAL PATH MODELING OF THE HEART BASED MEMBRANE IONIC CHANNELS

  2004cites this paper
• Giving form to the function of the heart: embedding cellular models in an anatomical framework.

  2004cites this paper
• An anatomical model of the gastric system for producing bioelectric and biomagnetic fields.

  2004cites this paper
• Altered T Wave Dynamics in a Contracting Cardiac Model

  2003cites this paper
• Modelling and visualising the heart

  2002cites this paper
• Application of the BEM in biopotential problems

  2002cites this paper
• Torso Coupling Techniques for the Forward Problem of Electrocardiography

  2002cites this paper
• Noninvasive Electrical Imaging of the Heart: Theory and Model Development

  2001cites this paper