Optimal Robust Control For Tremor Suppression in Parkinson's Disease

Document Type

Conference Proceeding

Publication Date

1-1-2022

Publication Title

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volume

2022-October

First Page

2633

Keywords

basal ganglia, optimal sliding mode control, optimal switching surface, Parkinson Tremor, Terminal sliding mode control

Last Page

2638

Abstract

Deep brain stimulation (DBS) is an effective and promising therapy to control Parkinson's tremor movement in patients with advanced Parkinson's disease (PD). This paper proposes a new alternative medication that has several advantages, including compatibility with individual needs and low side effects. There has been a rapid improvement in the literature on the development of the dynamic computational model of neuroscience, alongside the development of DBS. A combination of DBS and model-based control strategies opens up a new vision for Parkinson's disease treatment. Despite the numerous studies on basal ganglia (BG) modeling, researchers are required to employ adaptive and robust strategies to eliminate Parkinson's patients' tremors. This paper proposes a new adaptive optimal fast terminal sliding mode control (AOFTSMC) method to mitigate tremors by tuning GABA thorough DBS. This approach represents finite-time convergence law, a new method to stimulate the inner nuclei of BG in a robust and optimum manner that leads to removing tremors of PD fluctuation signal in the presence of uncertainties. Finally, simulation results of the basal ganglia model under the addressed approach are adopted to demonstrate the effectiveness of the proposed method.

DOI

10.1109/SMC53654.2022.9945481

ISSN

1062922X

ISBN

9781665452588

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