Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

RationalePatients with ischemic cardiomyopathy (ICMP) are at high risk for malignant arrhythmias, largely due to electrophysiological remodeling of the non-infarcted myocardium. The electrophysiological properties of the non-infarcted myocardium of patients with ICMP remain largely unknown.Objective...

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Bibliographic Details
Main Authors: Konstantinos N. Aronis, Adityo Prakosa, Teya Bergamaschi, Ronald D. Berger, Patrick M. Boyle, Jonathan Chrispin, Suyeon Ju, Joseph E. Marine, Sunil Sinha, Harikrishna Tandri, Hiroshi Ashikaga, Natalia A. Trayanova
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Physiology
Subjects:
ischemic cardiomyopathy
action potential duration restitution
genetic algorithms
unsupervised machine learning
patient-derived disease-specific action potential models
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.684149/full

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https://www.frontiersin.org/articles/10.3389/fphys.2021.684149/full

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