Volume 15, Issue 2 (Journal of Control, V.15, N.2 Summer 2021)                   JoC 2021, 15(2): 1-9 | Back to browse issues page

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Arasteh R, Safaie J, Abbasi M, Afsharfard A. Design of Hand Tremor Reduction System Based on Predictive Control in Patients with Parkinson Disease. JoC 2021; 15 (2) :1-9
URL: http://joc.kntu.ac.ir/article-1-712-en.html
Design of Hand Tremor Reduction System Based on Predictive Control in Patients with Parkinson Disease
Roya Arasteh1 , Javad Safaie * 1, Mahdi Abbasi2 , Aref Afsharfard2
1- Electrical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
2- Mechanical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Abstract:   (7003 Views)
Parkinson's disease is the most common neurological disorder after Alzheimer's, which is caused by a decrease in the brain's ability to produce dopamine. There are several ways to reduce the effects of this disease so far, but unfortunately these have many side effects. For this reason, many attempts have been made to find non-invasive alternative methods that are generally ineffective due to the cost, system weight, and so on.
In this paper, the active method is used to reduce the transmitted vibration to the device. In the proposed scheme, the vibration of the hand is first identified using an ANFIS filter and then by two electric motors and the designed mechanism, a reverse motion is applied using the predictive controller. The simulation results show the system performance in following voluntary movements and eliminating spontaneous vibration from Parkinson's disease.
 
Keywords: Parkinson, Hand tremor reduction robot, Predictive control, Fuzzy neural network
Full-Text [PDF 1074 kb]   (1687 Downloads)    
Type of Article: Research paper | Subject: General
Received: 2019/10/26 | Accepted: 2020/07/10 | ePublished ahead of print: 2020/07/15 | Published: 2021/08/23
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