Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics.
Fernando E. RosasDiego Candia-RiveraAndrea I. LuppiYike GuoPedro A. M. MedianoPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- heart rate
- state space
- dynamical systems
- blood pressure
- heart rate variability
- physiological signals
- physical activity
- vital signs
- physiological processes
- reinforcement learning
- generative model
- bayesian networks
- conjugate priors
- dynamic programming
- search space
- ecg signals
- left ventricle
- maximum likelihood
- real time