Mathematical modeling of the autonomic function
Heartbeats and heart rate variability are the result of the interactions within the Autonomic Nervous System dynamics (ANS).
The estimation of ANS branches, Sympathetic and Parasympathetic activities, remains a challenge.
Mathematical modeling of the cardiac function
D. Candia-Rivera, V. Catrambone, R. Barbieri and G. Valenza (2021).
Integral pulse frequency modulation model driven by sympathovagal dynamics: Synthetic vs. real heart rate variability
Biomedical Signal Processing and Control.
https://doi.org/10.1016/j.bspc.2021.102736
In this study are disentangled the slow and fast heart rate oscillations through Laguerre polynomial convolutions to gather Sympathetic and Parasympathetic fluctuations
The estimated Sympathetic and Parasympathetic series are integrated in an Integral pulse frequency modulation model to accurately generate the original series
Novel approaches to estimate time-varying sympathetic and parasympathetic tone
D. Candia-Rivera.
Modeling brain-heart interactions from Poincaré plot-derived measures of sympathetic-vagal activity
(invited methods article).
MethodsX
In this study is proposed the estimation of sympathetic and parasympathetic activities using Poincaré plot fluctuating geometry on time
This approach disentangles slow and fast heart rate oscillations without defining specific frequency bands and accounting for nonlinear changes