Forecasting of life threatening arrhythmias using the compression entropy of heart rate.

Abstract:

OBJECTIVES:Ventricular tachycardia (VT) provoking sudden cardiac death (SCD) are a major cause of mortality in the developed countries. The most efficient therapy for SCD prevention are implantable cardioverter defibrillators (ICD). In this study heart rate variability (HRV) measures were analyzed for short-term forecasting of VT in order to improve VT sensing and to enable a patient warning of forth-coming shocks. METHODS:The last 1000 normal beat-to-beat intervals before 50 VT episodes stored by the ICD were analyzed and compared to individually acquired control time series (CON). HRV analysis was performed with standard parameters of time and frequency domain as suggested by the HRV Task Force and furthermore with a newly developed and optimized nonlinear parameter that assesses the compression entropy of heart rate (Hc). RESULTS:Except of meanNN (p = 0.02) we found no significant differences in standard HRV parameters. In contrast, Hc revealed highly significant (p = 0.007) alterations in VT compared with CON suggesting a decreased complexity before the onset of VT. CONCLUSION:Compression entropy might be a suitable parameter for short-term forecasting of life-threatening tachycardia in ICD.

journal_name

Methods Inf Med

authors

Baumert M,Baier V,Haueisen J,Wessel N,Meyerfeldt U,Schirdewan A,Voss A

keywords:

subject

Has Abstract

pub_date

2004-01-01 00:00:00

pages

202-6

issue

2

eissn

0026-1270

issn

2511-705X

pii

04020202

journal_volume

43

pub_type

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