Intelligent and strong robust CVS-LVAD control based on soft-actor-critic algorithm

作者：

Highlights：

• The traditional PID method cannot give consideration to robustness and response speed.

• Using deep reinforcement learning to regulate the left ventricular assist device.

• This method ensures the robustness and response speed of the controller.

摘要

•The traditional PID method cannot give consideration to robustness and response speed.•Using deep reinforcement learning to regulate the left ventricular assist device.•This method ensures the robustness and response speed of the controller.

论文关键词：Deep reinforcement learning,Heart failure,Left ventricular assist devices,Physiological control

论文评审过程：Received 22 August 2021, Revised 26 February 2022, Accepted 16 April 2022, Available online 22 April 2022, Version of Record 27 April 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102308