Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

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Fernando E. Rosas, Diego Candia-Rivera, Andrea I. Luppi, Yike Guo, Pedro A. M. Mediano

Published: 01 Jan 2024, Last Modified: 06 May 2025Comput. Biol. Medicine 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Heart rate dynamics is conceptualised as a hidden stochastic process that drive the observed heartbeats.•State-space and Bayesian modelling are used to derive estimates of non-linear HR properties.•These estimates can exhibiting a better discriminative power for metrics of dynamical complexity.