کنفرانس مهندسی برق ایران

صفحه اصلی / سی و دومین کنفرانس بین المللی مهندسی برق

Adaptive Smooth Super Twisting Sliding Mode Control for Parkinson's Tremor Treatment

نویسندگان :

Reyhaneh Valibeik¹ ّFatemeh Jahangiri² Mostafa Abedi³

1- دانشگاه شهید بهشتی تهران 2- دانشگاه شهید بهشتی تهران 3- دانشگاه شهید بهشتی تهران

کلمات کلیدی :

Basal Ganglia،closed-loop deep brain stimulation،parameter adaptation،Parkinson's disease،smooth super twisting algorithm

چکیده :

Parkinson's disease (PD) is a common disease associated ‎with prominent symptoms such as hand tremors and ‎muscular rigidity. Deep brain stimulation (DBS) is a ‎commonly used therapy for alleviating the symptoms of that ‎condition. Implementing a closed-loop control system for ‎deep brain stimulation (DBS) that applies a basal ganglia ‎‎(BG) model is a common method for tremor determination in ‎Parkinson's patients. In order to reduce Parkinson's tremor ‎and decrease the necessary amount of stimulation, this work ‎details the successful simultaneous control of two regions ‎inside the basal ganglia (BG), specifically the subthalamic ‎nucleus (STN) and the globus pallidus internal (GPi). A ‎partial state feedback controller is used to regulate the GPi, ‎while an adaptive smooth super twisting sliding mode ‎controller is used to stimulate STN. According to the results ‎of the simulation, the proposed method is superior and more ‎successful than adaptive sliding mode control.‎