公开(公告)号：US12214201B2

公开(公告)日：2025-02-04

申请号：US16966390

申请日：2019-02-01

Applicant: REGENTS OF THE UNIVERSITY OF MINNESOTA

Inventor： Logan Grado ,  Theoden Netoff ,  Andy Lamperski ,  Bryan Moore

IPC: A61N1/36 ,  A61N1/365

Abstract: Systems and methods for adaptively controlling an electrical stimulation device, such as a closed-loop stimulation device, based in part on a Bayesian optimization of the operational parameters of the device are described. An adaptive dual control of the stimulation device can be provided. In a first control loop parameters are extracted from signals recorded from the subject by the stimulation device, and in a second control loop a Bayesian optimization is implemented with a hardware processor and memory to compute updated operational parameters for the stimulation device. As noted, the stimulation device is an electrical stimulation device, and may be a closed-loop stimulation device. Such devices can be used for deep brain stimulation (“DBS”), cardiac resynchronization therapy (“CRT”), and other electrophysiological stimulation applications.