Data-driven discovery of sparse dynamical model of cardiovascular system for model predictive control.

ABSTRACT: Cardiovascular diseases remain the leading cause of death globally. In recent years, vagal nerve stimulation (VNS) has shown promising results in the treatment of a number of cardiovascular diseases. In this approach, mild electrical pulses are sent to the brain via the vagus nerve. This open-loop neurostimulation, however, leads to various side effects due to physiological and inter-patient variability and therefore a closed-loop delivery strategy of electrical pulses that accounts for this variability is desired. In this context, we envision data-driven sparse dynamical model parameterized by patient-specific data as appropriate for use in closed loop controller design. In this work, we build a dynamical model for mean arterial pressure and heart rate using the method sparse identificati

SUBMITTER: Prabhu S 

PROVIDER: S-EPMC10982123 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature