Multiple input algorithm-guided Deep Brain stimulation-programming for Parkinson's disease patients.

ABSTRACT: Technological advances of Deep Brain Stimulation (DBS) within the subthalamic nucleus (STN) for Parkinson's disease (PD) provide increased programming options with higher programming burden. Reducing the effort of DBS optimization requires novel programming strategies. The objective of this study was to evaluate the feasibility of a semi-automatic algorithm-guided-programming (AgP) approach to obtain beneficial stimulation settings for PD patients with directional DBS systems. The AgP evaluates iteratively the weighted combination of sensor and clinician assessed responses of multiple PD symptoms to suggested DBS settings until it converges to a final solution. Acute clinical effectiveness of AgP DBS settings and DBS settings that were found following a standard of care (SoC) procedure wer

SUBMITTER: Gulke E 

PROVIDER: S-EPMC9617933 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature