Nonlinear Pattern Analysis of Ventricular Premature Beats by Mutual Information

M. Osaka; H. Saitoh; T. Yokoshima; H. Kishida; H. Hayakawa; R. J. Cohen

doi:10.1055/s-0038-1636872

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 1997; 36(04/05): 257-260
DOI: 10.1055/s-0038-1636872

Original Article

Schattauer GmbH

Nonlinear Pattern Analysis of Ventricular Premature Beats by Mutual Information

M. Osaka

¹Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA

²First Department of Internal Medicine, Nippon Medical School, Tokyo, Japan

,

H. Saitoh

²First Department of Internal Medicine, Nippon Medical School, Tokyo, Japan

,

T. Yokoshima

²First Department of Internal Medicine, Nippon Medical School, Tokyo, Japan

,

H. Kishida

²First Department of Internal Medicine, Nippon Medical School, Tokyo, Japan

,

H. Hayakawa

²First Department of Internal Medicine, Nippon Medical School, Tokyo, Japan

,

R. J. Cohen

¹Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA

› Institutsangaben

Abstract

Abstract:

The frequency of ventricular premature beats (VPBs) has been related to the risk of mortality. However, little is known about the temporal pattern of occurrence of VPBs and its relationship to autonomic activity. Hence, we applied a general correlation measure, mutual information, to quantify how VPBs are generated over time. We also used mutual information to determine the correlation between VPB production and heart rate in order to evaluate effects of autonomic activity on VPB production. We examined twenty subjects with more than 3000 VPBs/day and simulated ran-( dom time series of VPB occurrence. We found that mutual information values could be used to characterize quantitatively the temporal patterns of VPB generation. Our data suggest that VPB production is not random and VPBs generated with a higher value of mutual information may be more greatly affected by autonomic activity.

Keywords:

Ventricular Premature Beat - Heart Rate - Autonomic Activity - Nonlinear Analysis - Mutual InformationIntroduction

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Referenzen

REFERENCES
1 Lown B, Wolf M. Approaches to sudden death from coronary heart disease. Circulation 1971; 48: 130-42.
2 Ceremuzynski L, Kleczar E, Krzeminska-Pakula M. et al. Effect of amiodarone on mortality after myocardial infarction: a double-blind, placebo-controlled, pilot study. J Am Coll Cardiol 1992; 20: 1056-62.
3 Bigger FT, Weld FJ. Analysis of prognostic significance of ventricular arrhythmias after myocardial infarction. Br Heart J 1981; 45: 717-24.
4 The Cardiac Arrhythmia Suppression Trial (CAST) Investigators. Preliminary report: effect of encainide and flecainide on mortality in a randomized trial of arrhythmia suppression after myocardial infarction. N Engl J Med 1989; 32: 406-12.
5 Albrecht P, Cohen RJ, Mark RG. A stochastic characterization of chronic ventricular ectopic activity. IEEE Trans Biomed Engl 1988; 35: 539-50.
6 Stein KM, Kligfield P. Fractal clustering of ventricular ectopy in dilated cardiomyopathy. Am J Cardiol 1990; 65: 1512-5.
7 Fraser AM, Swinney HL. Independent coordinates for strange attractors from mutual information. Phys Rev A 1986; 33: 1134-40.
8 Ardell JL, Randall WC, Cannon WJ. et al. Differential sympathetic regulation of autonomic, conductile, and contractile tissue in dog heart. Am J Physiol 1988; 255: H1050-9.
9 Ardell JL, Randall WC. Selective vagal innervation of sinoatrial and atrioventricular nodes in canine heart. Am J Physiol 1986; 251: H764-73.
10 Janse MJ. Frquency dependence of experimental arrhythmias. J Electrophysiol 1987; 01: 12-4.
11 Bayes Ade Luna, Coumel P, Leclercq JF. Ambulatory sudden cardiac death: mechanisms of provocation of fatal arrhythmias on the basis of data from 157 cases. Am Heart J 1989; 117: 151-9.
12 Adgey AAJ. Initiation of ventricular fibrillation outside the hospital. In: Adgey AAJ. eds. Acute Phase of Myocardial Ischemia and Infarction. The Hague: Martinus Nijhoff; 1982: 67.