Age-related alterations of relaxation processes and non-Markov effects in stochastic dynamics of R-R intervals variability from human ECGs
arXiv:physics/0603028 · doi:10.1016/j.physa.2005.01.042
Abstract
In this paper we consider the age-related alterations of heart rate variability on the basis of the study of non-Markovian effects. The age dynamics of relaxation processes is quantitatively described by means of local relaxation parameters, calculated by the specific localization procedure. We offer a quantitative informational measure of non-Markovity to evaluate the change of statistical effects of memory. Local relaxation parameters for young and elderly people differ by 3.3 times, and quantitative measures of non-Markovity differ by 4.2 times. The comparison of quantitative parameters allows to draw conclusions about the reduction of relaxation rate with ageing and the higher degree of the Markovity of heart rate variability of elderly people.
arXiv comment22 pages, 7 figures, 2 tables
References in corpus (7)
- Characterization of Sleep Stages by Correlations of Heartbeat Increments
- Memory beyond memory in heart beating: an efficient way to detect pathological conditions
- Stochastic Dynamics of Time Correlations in Complex Systems with Discrete Time
- Noise Effects on the Complex Patterns of Abnormal Heartbeats
- Possibility between earthquake and explosion seismogram differentiation by discrete stochastic non-Markov processes and local Hurst exponent analysis
- Non-Markov stochastic dynamics of real epidemic process of respiratory infections
- Stratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients