Low HRV entropy is strongly associated with myocardial infarction.

作者: Stephan Lau , Jens Haueisen , Ernst G. Schukat-Talamazzini , Andreas Voss , Matthias Goernig

DOI: 10.1515/BMT.2006.033

关键词:

摘要: Heart rate variability (HRV) is a marker of autonomous activity in the heart. An important application HRV measures stratification mortality risk after myocardial infarction. Our hypothesis that information entropy HRV, non-linear approach, suitable measure for this assessment. As first step, to evaluate effect infarction on entropy, we compared standard parameters. The was estimated by compressing tachogram with Bzip2. For univariate comparison, statistical tests were used. Multivariate analysis carried out using automatically generated decision trees. classification and simplicity trees two evaluation criteria. findings support our hypothesis. meanNN-normalized reduced patients very high significance. One parameter alone exceeds discrimination strength multivariate standards-based

参考文章(10)
M. Baumert, V. Baier, J. Haueisen, N. Wessel, U. Meyerfeldt, A. Schirdewan, A. Voss, Forecasting of life threatening arrhythmias using the compression entropy of heart rate. Methods of Information in Medicine. ,vol. 43, pp. 202- 206 ,(2004) , 10.1055/S-0038-1633859
Richard A Olshen, Charles J Stone, Leo Breiman, Jerome H Friedman, Classification and regression trees ,(1983)
Joshua S. Richman, J. Randall Moorman, Physiological time-series analysis using approximate entropy and sample entropy American Journal of Physiology-heart and Circulatory Physiology. ,vol. 278, ,(2000) , 10.1152/AJPHEART.2000.278.6.H2039
Robert E. Kleiger, J.Philip Miller, J.Thomas Bigger, Arthur J. Moss, Decreased heart rate variability and its association with increased mortality after acute myocardial infarction The American Journal of Cardiology. ,vol. 59, pp. 256- 262 ,(1987) , 10.1016/0002-9149(87)90795-8
ANDREAS VOSS, KATERINA HNATKOVA, NIELS WESSEL, JUERGEN KURTHS, ANDRE SANDER, ALEXANDER SCHIRDEWAN, A JOHN CAMM, MAREK MALIK, Multiparametric Analysis of Heart Rate Variability Used for Risk Stratification Among Survivors of Acute Myocardial Infarction Pacing and Clinical Electrophysiology. ,vol. 21, pp. 186- 192 ,(1998) , 10.1111/J.1540-8159.1998.TB01086.X
Madalena Costa, Ary L. Goldberger, C.-K. Peng, Multiscale entropy analysis of biological signals Physical Review E. ,vol. 71, pp. 021906- ,(2005) , 10.1103/PHYSREVE.71.021906
A John Camm, Marek Malik, J Thomas Bigger, Günter Breithardt, Sergio Cerutti, Richard J Cohen, Philippe Coumel, Ernest L Fallen, Harold L Kennedy, RE Kleiger, Federico Lombardi, Alberto Malliani, Arthur J Moss, Jeffrey N Rottman, Georg Schmidt, Peter J Schwartz, D Singer, Heart rate variability. Standards of measurement, physiological interpretation, and clinical use European Heart Journal. ,vol. 17, pp. 354- 381 ,(1996) , 10.1093/OXFORDJOURNALS.EURHEARTJ.A014868
D. J. Wheeler, M. Burrows, A Block-sorting Lossless Data Compression Algorithm ,(1994)
Timothy C Bell, John G Cleary, Ian H Witten, Text Compression ,(1990)