RT Journal Article
A1 Korosh Rouhollahi
A1 Mehran Emadi Andani
A1 Iman Izadi
A1 Seyed Mahdi Karbassi

PB iet
T1 Controllability and observability analysis of basal ganglia model and feedback linearisation control
JN IET Systems Biology
VO 11
IS 5
SP 144
OP 154
AB Deep brain stimulation (DBS) is a clinical remedy to control tremor in Parkinson's disease. In DBS, one of the two main areas of basal ganglia (BG) is stimulated. This stimulation is produced with no feedback of the tremor and often causes a wide range of unpleasant side effects. Using a feedback signal from tremor, the stimulatory signal can be reduced or terminated to avoid extra stimulation and as a result decrease the side effects. To design a closed-loop controller for the non-linear BG model, a complete study of controllability and observability of this system is presented in this study. This study shows that the BG model is controllable and observable. The authors also propose the idea of stimulating the two BG areas simultaneously. A two-part controller is then designed: a feedback linearisation controller for subthalamic nucleus stimulation and a partial state feedback controller for globus pallidus internal stimulation. The controllers are designed to decrease three indicators: the hand tremor, the level of delivered stimulation signal in disease condition, and the ratio of the level of delivered stimulation signal in health condition to disease condition. Considering these three indicators, the simulation results show satisfactory performance.
K1 deep brain stimulation
K1 subthalamic nucleus stimulation
K1 globus pallidus internal stimulation
K1 two-part controller
K1 feedback linearisation control
K1 clinical remedy
K1 partial state feedback controller
K1 controllability analysis
K1 feedback linearisation controller
K1 nonlinear BG model
K1 tremor control
K1 Parkinson's disease
K1 delivered stimulation signal
K1 closed-loop controller
K1 basal ganglia model
K1 disease condition
K1 feedback signal
K1 observability analysis
DO https://doi.org/10.1049/iet-syb.2016.0054
UL https://digital-library.theiet.org/;jsessionid=4kduj1hod75ej.x-iet-live-01content/journals/10.1049/iet-syb.2016.0054
LA English
SN 1751-8849
YR 2017
OL EN