Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment

1 code implementation • 5 Feb 2023 • Qitong Gao, Stephen L. Schimdt, Afsana Chowdhury, Guangyu Feng, Jennifer J. Peters, Katherine Genty, Warren M. Grill, Dennis A. Turner, Miroslav Pajic

In this work, we introduce an offline reinforcement learning (RL) framework, allowing the use of past clinical data to train an RL policy to adjust the stimulation amplitude in real time, with the goal of reducing energy use while maintaining the same level of treatment (i. e., control) efficacy as cDBS.

Reinforcement Learning (RL)