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, Table of Contents

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

Authors

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

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

Full Text

References

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