Aging leads to increasingly predictable and constrained heart rate dynamics, supporting a stochastic model of heartbeat regulation.
May indicate reduced HR complexity in aging; hypothesis-generating for recurrence analysis in risk stratification.
The possibility of computing a cardiac age on the basis of spectral analysis of healthy individual tachograms was confirmed and facilitated by the use of a nonlinear technique: recurrence quantification analysis. The age of 112 subjects was predicted by this technique in terms of a progressive increase in the deterministic character of the heartbeat. This result confirms the "random-walk" character of the heartbeat as predicted by the terminal dynamics paradigm, thus allowing for a simple and comprehensive model of the effect of aging on cardiac dynamics: as age progresses, heart rate dynamics become increasingly predictable (constrained) on a beat-to-beat basis. This implies a basically stochastic nature of heart rate dynamics, probably reflecting the continuous adjustments to an unpredictable internal environment.
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Giuliani et al. (1998) studied this question.
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