The physics of heart rhythm disorders

WJ Rappel - Physics reports, 2022 - Elsevier
The global burden caused by cardiovascular disease is substantial, with heart disease
representing the most common cause of death around the world. There remains a need to …

From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy

AGW de Lepper, CMA Buck… - Journal of the …, 2022 - royalsocietypublishing.org
Survivors of myocardial infarction are at risk of life-threatening ventricular tachycardias (VTs)
later in their lives. Current guidelines for implantable cardioverter defibrillators (ICDs) …

Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function

M Fedele, A Quarteroni - International Journal for Numerical …, 2021 - Wiley Online Library
In order to simulate the cardiac function for a patient‐specific geometry, the generation of the
computational mesh is crucially important. In practice, the input is typically a set of …

A personalized real-time virtual model of whole heart electrophysiology

K Gillette, MAF Gsell, M Strocchi, T Grandits… - Frontiers in …, 2022 - frontiersin.org
Computer models capable of representing the intrinsic personal electrophysiology (EP) of
the heart in silico are termed virtual heart technologies. When anatomy and EP are tailored …

[HTML][HTML] Acute effects of alcohol on cardiac electrophysiology and arrhythmogenesis: Insights from multiscale in silico analyses

H Sutanto, MJM Cluitmans, D Dobrev… - Journal of Molecular and …, 2020 - Elsevier
Acute excessive ethyl alcohol (ethanol) consumption alters cardiac electrophysiology and
can evoke cardiac arrhythmias, eg, in 'holiday heart syndrome'. Ethanol acutely modulates …

[PDF][PDF] TF-Unet: An automatic cardiac MRI image segmentation method

Z Fu, J Zhang, R Luo, Y Sun, D Deng, L Xia - Math. Biosci. Eng, 2022 - aimspress.com
Personalized heart models are widely used to study the mechanisms of cardiac arrhythmias
and have been used to guide clinical ablation of different types of arrhythmias in recent …

Enhanced optimization-based method for the generation of patient-specific models of Purkinje networks

LA Berg, BM Rocha, RS Oliveira, R Sebastian… - Scientific Reports, 2023 - nature.com
Cardiac Purkinje networks are a fundamental part of the conduction system and are known
to initiate a variety of cardiac arrhythmias. However, patient-specific modeling of Purkinje …

Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications

E Sung, S Etoz, Y Zhang, NA Trayanova - Biophysics reviews, 2021 - pubs.aip.org
Ventricular arrhythmias are the primary cause of sudden cardiac death and one of the
leading causes of mortality worldwide. Whole-heart computational modeling offers a unique …

Clinically-driven virtual patient cohorts generation: an application to aorta

P Romero, M Lozano, F Martínez-Gil, D Serra… - Frontiers in …, 2021 - frontiersin.org
The combination of machine learning methods together with computational modeling and
simulation of the cardiovascular system brings the possibility of obtaining very valuable …

Machine learning prediction of cardiac resynchronisation therapy response from combination of clinical and model-driven data

S Khamzin, A Dokuchaev, A Bazhutina… - Frontiers in …, 2021 - frontiersin.org
Background: Up to 30–50% of chronic heart failure patients who underwent cardiac
resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient …