Optimal deep brain stimulation therapy with Q learning
US8774923B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 18, 2010 |
| Grant date | Jul 8, 2014 |
| Priority date | — |
| Expiry date | Jan 24, 2031 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B5/7264
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A closed loop Deep Brain Stimulation (DBS) system constituted of: a physiological sensor; a multi-electrode DBS lead; an adaptive control system in communication with the physiological sensor; and an implantable pulse generator (IPG) responsive to the adaptive control system, the adaptive control system comprising a learning module operable to learn to find the optimal stimulation parameters, classify and associate patient conditions responsive to the physiological sensor with optimal stimulation parameters in a plurality of patient conditions. The adaptive DBS device control system learns to deliver the optimal stimulation parameters based on Watkins and Dayan Q learning recursive formula, the closed loop adaptive DBS control system thus finds the optimal stimulation parameters online.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.