Literature DB >> 33444477

Rehabilitation of the Parkinson's tremor by using robust adaptive sliding mode controller: a simulation study.

Korosh Rouhollahi1, Mehran Emadi Andani2,3, Javad Askari Marnanii4, Seyed Mahdi Karbassi1.   

Abstract

One of the efficient methods in controlling the Parkinson's tremor is Deep Brain Stimulation (DBS) therapy. The stimulation of Basal Ganglia (BG) by DBS brings no feedback though the existence of feedback reduces the additional stimulatory signal delivered to the brain. So this study offers a new adaptive architecture of a closed-loop control system in which two areas of BG are stimulated simultaneously to decrease the following three indicators: hand tremor, the level of a delivered stimulation signal in the disease condition, and the level of a delivered stimulation signal in health condition to the disease condition. One area (STN: subthalamic nucleus) is stimulated with an adaptive sliding mode controller and the other area (GPi: Globus Pallidus internal) with partial state feedback controller. The simulation results of stimulating two areas of BG showed satisfactory performance.
© 2019 The Institution of Engineering and Technology.

Entities:  

Keywords:  Basal Ganglia; DBS; Deep Brain Stimulation therapy; Parkinson's tremor; adaptive architecture; adaptive control; additional stimulatory signal; bioelectric phenomena; biomedical electrodes; brain; brain models; closed loop systems; closed-loop control system; delivered stimulation signal; disease condition; diseases; efficient methods; feedback; hand tremor; health condition; neurophysiology; partial state feedback controller; robust adaptive sliding mode controller; robust control; simulation study; state feedback; variable structure systems

Year:  2019        PMID: 33444477      PMCID: PMC8687164          DOI: 10.1049/iet-syb.2018.5043

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  18 in total

1.  Dynamics of Parkinsonian tremor during deep brain stimulation.

Authors:  Michele S. Titcombe; Leon Glass; Dominique Guehl; Anne Beuter
Journal:  Chaos       Date:  2001-12       Impact factor: 3.642

2.  Modeling the Parkinson's tremor and its treatments.

Authors:  Mohammad Haeri; Yashar Sarbaz; Shahriar Gharibzadeh
Journal:  J Theor Biol       Date:  2005-10-07       Impact factor: 2.691

3.  Parkinsonian tremor and simplification in network dynamics.

Authors:  R Edwards; A Beuter; L Glass
Journal:  Bull Math Biol       Date:  1999-01       Impact factor: 1.758

4.  Instrumentation to record evoked potentials for closed-loop control of deep brain stimulation.

Authors:  Alexander R Kent; Warren M Grill
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

5.  Tremor: Is Parkinson's disease a dynamical disease?

Authors:  Anne Beuter; Konstantinon Vasilakos
Journal:  Chaos       Date:  1995-03       Impact factor: 3.642

6.  Computer simulation of parkinsonian tremor.

Authors:  I Fukumoto
Journal:  J Biomed Eng       Date:  1986-01

Review 7.  Closing the loop of deep brain stimulation.

Authors:  Romain Carron; Antoine Chaillet; Anton Filipchuk; William Pasillas-Lépine; Constance Hammond
Journal:  Front Syst Neurosci       Date:  2013-12-20

8.  Design of robust adaptive controller and feedback error learning for rehabilitation in Parkinson's disease: a simulation study.

Authors:  Korosh Rouhollahi; Mehran Emadi Andani; Seyed Mahdi Karbassi; Iman Izadi
Journal:  IET Syst Biol       Date:  2017-02       Impact factor: 1.615

9.  Designing a robust backstepping controller for rehabilitation in Parkinson's disease: a simulation study.

Authors:  Korosh Rouhollahi; Mehran Emadi Andani; Seyed Mahdi Karbassi; Iman Izadi
Journal:  IET Syst Biol       Date:  2016-08       Impact factor: 1.615

10.  Modeling and automatic feedback control of tremor: adaptive estimation of deep brain stimulation.

Authors:  Muhammad Rehan; Keum-Shik Hong
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

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  1 in total

1.  Sliding mode controller-observer pair for p53 pathway.

Authors:  Muhammad Rizwan Azam; Vadim I Utkin; Ali Arshad Uppal; Aamer Iqbal Bhatti
Journal:  IET Syst Biol       Date:  2019-08       Impact factor: 1.615

  1 in total

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