Prediction of Cardiac Mechanical Performance From Electrical Features During Ventricular Tachyarrhythmia Simulation Using Machine Learning Algorithms

Prediction of Cardiac Mechanical Performance From Electrical Features During Ventricular Tachyarrhythmia Simulation Using Machine Learning Algorithms

In ventricular tachyarrhythmia, electrical instability features including action potential duration, dominant frequency, phase singularity, and filaments are associated with mechanical contractility. However, there are insufficient studies on estimated mechanical contractility based on electrical fe...

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Bibliographic Details
Main Authors: Da Un Jeong, Ki Moo Lim
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Physiology
Subjects:
ventricular tachyarrhythmia
computational study
mechanical performance
electrical instability
support vector regression
artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2020.591681/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2020.591681/full

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