Nuevos patrones de reconocimiento visual en el ciclo cardiaco

Abstract

Time series (30) with different heart rate were analyzed (10 of subjects in normal sinus rhythm, 10 of subjects with atrial fibrillation and 10 of subjects with supraventricular arrhythmia), with analysis computational of chaos and nonlinear dynamics theory in order to know the complexity of system and find visual recognize patterns. It was found that cardiac cycle is a mixed dynamic behavior system (periodic-chaotic) and the representations (attractors) in space phase obtained from the relation between the original signal (x(t)) and first derived, can be used like visual recognize patterns in the identification of the three studied heart rhythms.