A simple evolution model in natural time can identify complexity measures that distinguish healthy heart rate dynamics from those of patients at risk for sudden cardiac death.
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May aid SCD risk stratification via heart rate complexity; hypothesis-generating and requires prospective validation.
Several studies have shown that heart rate fluctuations exhibit the ubiquitous 1/ f behavior which is altered in desease. Furthermore, the analysis of electrocardiograms in natural time reveals that important malfunctions in the complex system of the human heart can be identified. Here, we present a simple evolution model in natural time that exhibits the 1/ f a behavior with a close to unity. The results of this model are consistent with a progressive modification of heart rate variability in healthy children and adolescents. The model results in complexity measures that separate healthy dynamics from patients as well as from sudden cardiac death individuals.
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Sarlis et al. (2009) studied this question.
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