Abstract
A new algorithm—ModEn (mode entropy) is proposed by analyzing and modifying ApEn (approximate entropy), so that the irregular analysis can be applied to the time series of short-term signals with broad amplitude and slow fluctuation (SBS signals); and the ModEn is introduced in the irregular dynamic analysis of high frequency electrocardiogram (HFECG) on a myocardium infarction (MI) animal model. It is shown that the ModEn has a considerable dynamic change in MI. Hence there are potential application values of the algorithm in the early stage diagnosis of heart disease.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Eckmann, J. P., Ruelle, D., Ergodic theory of chaos and strange attractors, Rev. Modern Phys., 1985, 57: 617–654.
Pincus, S. M., Approximate entropy as a measure of system complexity, Proc. Natl. Acad. Sci. USA, 1991, 88: 2297–2301.
Pincus, S. M., Approximate entropy (ApEn) as a complexity measure, Chaos, 1995, 5: 110–117.
Pincus, S. M., Goldberger, A. L., Physiological time-series analysis: what does regularity quantify? Am. J. Physiol., 1994, 266: H1643-H1656.
Pincus, S. M., Mulligan, T., Iranmanesh, A. et al., Older males secrete luteinizing hormone and testosterone more irregularly, and jointly more asynchronously, than younger males, Proc. Natl. Acad. Sci. USA, 1996, 93: 14100–14105.
Joydeep, B., Complexity analysis of spontaneous EEG, Acta Neurobiol. Exp., 2000, 60: 495–501.
Dante, R. C., Unhealthy surprises, Nature, 2002, 419: 263.
Madalena, C., Ary, L., Goldberger, A. L. et al., Multiscale entropy analysis of complex physiologic time series, Phys. Rev. Lett., 2002, 89: 068102.
Ning, X. B., Shen, Z. Y., Shen, D. C. et al., The data acquisition & analysis of high frequency electrocardiogram (HFECG), J. of Nanjing Univ. (in Chinese), 1991, 27: 273–284.
Langner, P. H., Geselowitz, D. B., Briller, S. A., Wide band recording of the electrocardiogram and coronary disease, American Heart Journal, 1973, 86: 308.
Vanderark, C. R., Reynolds, E. W., Genesis of high frequency notching of QRS complex in anin vitro cardiac model, Circulation, 1975, 51: 257–262.
Flowers, N. C., Horan, L. G., Tolleson, W. J. et al., Localization of the site of myocardial scarring in man by high-frequency components, Circulation, 1969, 40: 927–934.
Zhu, W. P., Economides, A., Preliminary observation on the genesis of high frequency components of the epicardial ECG in the isolated rat heart under conditions of graded ischemia, Medical & Biological Engineering & computing, 1991, 29 (Suppl): 986.
Yang, F. S., Liao, W. C., Approximate Entropy: A complexity measure suitable for short data, Chinese J. of Medical Instrumentation (in Chinese), 1997, 21: 283–286.
Hong, B., Tang, Q. Y., Yang, F. S., ApEn and Cross-ApEn: Property, Fast Algorithm and Preliminary Application to the Study of EEG and Cognition, Signal Processing (in Chinese), 1999, 15: 100–108.
Wang, Z. Z., Ning, X. B., Zhang, Y. et al., Distribution of correlation dimensions of synchronous 12-lead ECG signals, Chinese Sci. Bulletin, 2000, 45: 1628–1632.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Xu, Y., Ning, X., Chen, Y. et al. Mode entropy and dynamical analysis of irregularity for HFECG. Chin.Sci.Bull. 49, 1886–1890 (2004). https://doi.org/10.1007/BF03183418
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF03183418