Journal of Quantum Science & Emerging Technologies(JQSET)
Chur Chin
Department of Family Medicine, Dong-eui Medical Center, Busan 47227, Republic of Korea
Publications
-
Research Article
Reinforcement Learning-Based Low-Energy Control of Cardiac Spiral Waves: A Unified Nonlinear Dynamical Framework Integrating Hopf Bifurcation, Stochastic Ion Channel Kinetics, and Phase-Guided Defibrillation
Author(s): Chur Chin*
Background: Cardiac arrhythmias, particularly ventricular fibrillation (VF) and atrial fibrillation (AF), remain leading causes of sudden cardiac death worldwide. Current therapeutic approaches including high- energy defibrillation carry significant risks of myocardial damage and patient discomfort. The underlying electrophysiological dynamics of these arrhythmias are fundamentally chaotic, governed by nonlinear spiral wave reentry in cardiac tissue. Objective: This study presents a unified theoretical and computational framework that integrates Hopf bifurcation theory, stochastic Hodgkin-Huxley (HH) ion channel kinetics, calcium clock coupling, Lyapunov-based chaos quantification, and Proximal Policy Optimization (PPO)- based reinforcement learning (RL) for adaptive low-energy cardiac spiral wave suppression. Methods: .. Read More»