Two statistical methods for resolving healthy individuals and those with congestive heart failure based on extended self-similarity and a recursive method
- PMID: 19669436
- PMCID: PMC2651543
- DOI: 10.1007/s10867-006-9031-y
Two statistical methods for resolving healthy individuals and those with congestive heart failure based on extended self-similarity and a recursive method
Abstract
In this paper we introduce two methods for measuring irregularities in human heartbeat time series (HHTS). First we consider the multi-fractal structure of HHTS to distinguish healthy individuals and from those with congestive heart failure. In this way we modify the Extended Self-Similarity (ESS) method and apply it to HHTS. Our second approach is based on the recursive method, which we use to predict the duration of the next heartbeat by considering a few previous ones. We use standard physiological data and show that these approaches lead to very satisfactory methods to resolve the healthy and CHF individuals. These methods can be used potentially in portable electronic heart alarm systems.
References
-
- Kantelhardt, J.W., Koscielny-Bunde, E., Rego, H.H.A., Havlin, S., Bunde, A.: Detecting long-range correlations with detrended fluctuation analysis. Physica A 295, 441 (2001) - DOI
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- Goldberger, A.L. et al.: Fractal mechanisms in neural control: Human heartbeat and gait dynamics in health and disease, http://www.physionet.org/tutorials/fmnc/
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