Title :
Pathological analysis of myocardial cell under ventricular tachycardia and fibrillation based on symbolic dynamics
Author :
Yisheng, Zhu ; Hongxuan, Zhang ; Thakor, Nitish V.
Author_Institution :
Dept. of Biomed. Eng., Shanghai Jiao Tong Univ., China
fDate :
6/23/1905 12:00:00 AM
Abstract :
Ventricular fibrillation (VF) is one of the most serious malignant arrhymias usually resulted from immediate degeneration of ventricular tachycardia (VT). In order to analyze the nonlinear dynamics of cardiac micro-mechanism under VT and VF rhythm, at the cellular level, myocardial cell action potentials (APs) are investigated under different rhythms, normal sinus rhythm, VT and VF. On the basis of nonlinear chaotic theory and symbolic dynamics, we forwarded some new definitions, complexity rate, etc, and obtained some useful properties for cellular electrophysiological analysis. The results of the experiments and computation show that the myocardial cellular signals under VT and VF rhythm are different kinds of chaotic signals, and that the cardiac chaos attractor under VF is higher than that under VT. The analytical complexity theory has a good promising in the clinical application
Keywords :
bioelectric potentials; cardiology; cellular biophysics; chaos; muscle; cellular electrophysiological analysis; fibrillation; malignant arrhymias; myocardial cell pathological analysis; nonlinear chaotic theory; normal sinus rhythm; symbolic dynamics; ventricular tachycardia; Biomedical engineering; Chaos; Data mining; Electrocardiography; Fibrillation; Heart; Myocardium; Pathology; Rhythm; Signal analysis;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955270