title: Adaptive control of Parkinson's state based on a nonlinear computational model with unknown parameters.
abstract: The objective here is to explore the use of adaptive input-output feedback linearization method to achieve an improved deep brain stimulation (DBS) algorithm for closed-loop control of Parkinson's state. The control law is based on a highly nonlinear computational model of Parkinson's disease (PD) with unknown parameters. The restoration of thalamic relay reliability is formulated as the desired outcome of the adaptive control methodology, and the DBS waveform is the control input. The control input is adjusted in real time according to estimates of unknown parameters as well as the feedback signal. Simulation results show that the proposed adaptive control algorithm succeeds in restoring the relay reliability of the thalamus, and at the same time achieves accurate estimation of unknown parameters. Our findings point to the potential value of adaptive control approach that could be used to regulate DBS waveform in more effective treatment of PD.
authors.affiliation: School of Electrical and Automation Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Su
authors.forename: Jiang
authors.initials: J
authors.lastname: Wang
authors.forename: Bin
authors.initials: B
authors.lastname: Deng
authors.forename: Xi-Le
authors.initials: XL
authors.lastname: Wei
authors.forename: Ying-Yuan
authors.initials: YY
authors.lastname: Chen
authors.forename: Chen
authors.initials: C
authors.lastname: Liu
authors.forename: Hui-Yan
authors.initials: HY
authors.lastname: Li
mesh_terms: D000222:Adaptation, Physiological / Q000502:physiology*; D000465:Algorithms; D003198:Computer Simulation; D046690:Deep Brain Stimulation; D025461:Feedback, Physiological / Q000502:physiology; D006801:Humans; D009474:Neurons / Q000502:physiology; D017711:Nonlinear Dynamics; D010300:Parkinson Disease / Q000503:physiopathology* / Q000628:therapy*; D015203:Reproducibility of Results; D013788:Thalamus / Q000502:physiology
keywords: Adaptive input-output feedback linearization; Parkinson's state; closed-loop control; deep brain stimulation; parameter estimation