Multiple-time scales analysis of physiological time series reveals scaling exponents that can serve as prognostic indicators and early warning systems for subjects at high risk of sudden death.
Multiple-time scale analysis of heart rate and gait may serve as a prognostic indicator and early warning system for sudden death.
We discuss multiple-time scale properties of neurophysiological control mechanisms, using heart rate and gait regulation as model systems. We find that scaling exponents can be used as prognostic indicators. Furthermore, detection of more subtle degradation of scaling properties may provide a novel early warning system in subjects with a variety of pathologies including those at high risk of sudden death.
Peng et al. (Thu,) conducted a review in Pathologies with high risk of sudden death. Multiple-time scales analysis was evaluated on Prognostic indicators and early warning system. Multiple-time scales analysis of physiological time series reveals scaling exponents that can serve as prognostic indicators and early warning systems for subjects at high risk of sudden death.
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