Abstract
Analysis of multiscale entropy (MSE) and multiscale standard deviation (MSD) are performed for both the heart rate interval series and the interval increment series. For the interval series, it is found that, it is impractical to discriminate the diseases of atrial fibrillation (AF) and congestive heart failure (CHF) unambiguously from the healthy. A clear discrimination from the healthy, both young and old, however, can be made in the MSE analysis of the increment series where we find that both CHF and AF sufferers have significantly low MSE values in the whole range of time scales investigated, which reveals that there are common dynamic characteristics underlying these two different diseases. In addition, we propose the sample entropy (SE) corresponding to time scale factor 4 of increment series as a diagnosis index of both AF and CHF, and the reference threshold is recommended. Further indication that this index can help discriminate sensitively the mild heart failure (cardiac function classes 1 and 2) from the healthy gives a clue to early clinic diagnosis of CHF.
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References
Sakki M, Kalda J, Vainu M, et al. The distribution of low-variability periods in human heart beat dynamics. Physica A, 2004, 338: 255–260
Ivanov P C, Chen Z, Hu K, et al. Multiscale aspects of cardiac control. Physica A, 2004, 344: 685–704
Malik M, Bigger J T, Camm A J, et al. Heart rate variability: Standard of measurement, physiological interpretation, and clinical use. Europ Heart J, 1996, 17: 354–381
Ning X B, Bian C H, Wang J, et al. Research progress in nonlinear analysis of heart electric activities. Chinese Sci Bull, 2006, 51: 385–393
Kleiger R E, Stein P K, Bigger J T. Heart rate variability: Measurement and clinical utility. Ann Noninvas Electr, 2005, 10: 88–101
Costa M, Goldberger A L, Peng C K. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett, 2002, 89: 068102
Costa M, Goldberger A L, Peng C K. Multiscale entropy analysis of biological signals. Phys Rev E, 2005, 71: 021906
Richman J S, Moorman J R. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol, 2000, 278: 2039–2049
Costa M, Goldberger A L, Peng C K. Multiscale entropy to distinguish physiological and synthetic RR time series. Comput Cardiology, 2002, 29: 137–140
Gomez C, Hornero R, Abasolo D, et al. Analysis of MEG recordings from Ailzheimer’s disease patients with sample and multiscale entropy. In: Proceedings of the 29th Annual International Conference of the IEEE EMBS, Lyon, France, 2007. 6183–6186
Angenili L, Maestri R, Marinazzo D, et al. Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series. Artif Intell Med, 2007, 41: 237–250
Ferrario M, Signorini M G, Magenes G, et al. Comparison of entropy-based regularity estimators: Application to the fetal heart rate signal for the identification of fetal distress. IEEE Trans Biomed Eng, 2006, 53: 119–125
Nikulin V V, Brismar T. Comment on “Multiscale entropy analysis of complex physiologic time series”. Phys Rev Lett, 2004, 92: 089803
Wessel N, Schirdewan A, Kurths J. Intermittently decreased beat-to-beat variability in congestive heart failure. Rhys Rev Lett, 2003, 91: 119801
Thuraisingham R A, Gottwald G A. On multiscale entropy analysis for physiological data. Physica A, 2006, 366: 323–332
Baim D S, Colucci W S, Monrad E S, et al. Survival of patients with severe congestive heart failure treated with oral milrinone. J Am Coll Cardiology, 1986, 7: 661–670
Moody G B, Mark R G. A new method for detecting atrial fibrillation using R-R intervals. Comput Cardiology, 1983, 10: 227–230
Rosner B. Fundamentals of Biostatistics (in Chinese). Beijing: Science Press, 2004. 58–59
Yeragani V K, Sobolewski E, Key J, et al. Effects of age on long-term heart rate variability. Cardiovasc Res, 1997, 35: 35–42
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Supported by the National Natural Science Foundation of China (Grant No. 60701002
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Huang, X., Ning, X. & Wang, X. Multiscale analysis of heart beat interval increment series and its clinical significance. Chin. Sci. Bull. 54, 3784–3789 (2009). https://doi.org/10.1007/s11434-009-0596-2
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DOI: https://doi.org/10.1007/s11434-009-0596-2