Multiscale entropy analysis of physiological data: an application to early prediction of malignant ventricular arrythmias onset
Massimo Bilancia, Giusi Graziano, Girolamo Stea · CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2007
Ventricular fibrillation (VF) is a condition in which there is uncoordinated contraction of the cardiac muscle of the ventricles in the heart (Epstein, 2004): most commonly it occurs within diseased hearts, and, in the vast majority, it is a manifestation of underlying ischaemic heart disease. Transition to ventricular fibrillation has been widely recognized as the effect of several wandering reentry spiral waves (Witkovsky et al., 1998): the abrupt onset of spatial chaos is usually reflected in the temporal dynamics. For these reasons we analyze 18 long term ECG (Holter registration) of healty people, and 11 records of patients who experienced sudden cardiac death during the recordings: according to the foregoing arguments, we focus our analysis on multiscale entropy (a new complexity measure in the arena of non linear dynamical system theory, Thuraisingham and Gottwald, 2006), and its potential for early identification of patient at risk for ventricular arrhytmias. References Epstein A (2004) Ventriculat Fibrillation, in Zipes D. Jalife J, (eds) Cardiac Electrophysiology, chap. 76, Elsevier, New York. Thurainsingham AR, Gottwald GA (2006) On multiscale entropy analysis of physiological data, Physica A, 366, 323-332. Witkowski FX, Leon LJ, Penkoske PA, Giles WR, Spano ML, Ditto WL, Winfree AT (1998) Spatiotemporal evolution of ventricular fibrillation, Nature Mar 5, 392(6671):78–82.