Computational models in cardiology

SA Niederer, J Lumens, NA Trayanova - Nature reviews cardiology, 2019 - nature.com
The treatment of individual patients in cardiology practice increasingly relies on advanced
imaging, genetic screening and devices. As the amount of imaging and other diagnostic …

[HTML][HTML] Cardiac transmembrane ion channels and action potentials: cellular physiology and arrhythmogenic behavior

V András, J Tomek, N Nagy, L Virág… - Physiological …, 2021 - journals.physiology.org
Cardiac arrhythmias are among the leading causes of mortality. They often arise from
alterations in the electrophysiological properties of cardiac cells and their underlying ionic …

The openCARP simulation environment for cardiac electrophysiology

G Plank, A Loewe, A Neic, C Augustin… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective: Cardiac electrophysiology is a medical specialty with a
long and rich tradition of computational modeling. Nevertheless, no community standard for …

[HTML][HTML] Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation

T O'Hara, L Virág, A Varró, Y Rudy - PLoS computational biology, 2011 - journals.plos.org
Cellular electrophysiology experiments, important for understanding cardiac arrhythmia
mechanisms, are usually performed with channels expressed in non myocytes, or with non …

Cellular and molecular mechanisms of atrial arrhythmogenesis in patients with paroxysmal atrial fibrillation

N Voigt, J Heijman, Q Wang, DY Chiang, N Li… - Circulation, 2014 - Am Heart Assoc
Background—Electrical, structural, and Ca2+-handling remodeling contribute to the
perpetuation/progression of atrial fibrillation (AF). Recent evidence has suggested a role for …

Artificial intelligence in the diagnosis and management of arrhythmias

VD Nagarajan, SL Lee, JL Robertus… - European heart …, 2021 - academic.oup.com
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI)
methodologies for decades. Recent renewed interest in deep learning techniques has …

Human Atrial Action Potential and Ca2+ Model: Sinus Rhythm and Chronic Atrial Fibrillation

E Grandi, SV Pandit, N Voigt, AJ Workman… - Circulation …, 2011 - Am Heart Assoc
Rationale: Understanding atrial fibrillation (AF) requires integrated understanding of ionic
currents and Ca2+ transport in remodeled human atrium, but appropriate models are limited …

Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care

J Heijman, H Sutanto, HJGM Crijns… - Cardiovascular …, 2021 - academic.oup.com
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …

[HTML][HTML] Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation

NA Trayanova, A Lyon, J Shade… - Physiological …, 2023 - pmc.ncbi.nlm.nih.gov
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

[HTML][HTML] Cardiomyocyte calcium handling in health and disease: Insights from in vitro and in silico studies

H Sutanto, A Lyon, J Lumens, U Schotten… - Progress in biophysics …, 2020 - Elsevier
Abstract Calcium (Ca 2+) plays a central role in cardiomyocyte excitation-contraction
coupling. To ensure an optimal electrical impulse propagation and cardiac contraction, Ca …