Utilization of fixed-time integral super twisting sliding mode controller for suppression of epileptic activity via stimulus current with DBS method. (April 2021)
- Record Type:
- Journal Article
- Title:
- Utilization of fixed-time integral super twisting sliding mode controller for suppression of epileptic activity via stimulus current with DBS method. (April 2021)
- Main Title:
- Utilization of fixed-time integral super twisting sliding mode controller for suppression of epileptic activity via stimulus current with DBS method
- Authors:
- Rezvani-Ardakani, Samira
Mohammad-Ali-Nezhad, Sajad
Ghasemi, Reza - Abstract:
- Highlights: A controller is proposed to make the epileptic state reach a healthy state in a fixed and finite time. The controller is applied to the dynamic model of a neuron in the CA3 region via implanted electrodes in the DBS method. The time required to achieve zero tracking error occurs within a limited time. The problems of classical sliding mode controller such as chattering and singularity are solved. The proposed controller controls the value of DBS current over the time of stimulation, along with epilepsy control. Abstract: Epileptic seizures should be controlled in a fixed time. Deep brain stimulation (DBS) has many advantages in treating neurological disorders such as epilepsy. In the present study, a fixed-time integral supertwisting sliding mode controller was proposed to apply to the Pinsky-Rinzel (PR) dynamic model via the DBS method to avoid epileptic seizures. First, the current which was generated by the electrodes implanted into the brain in the DBS method, was applied to the state variable of soma membrane potential in the PR model. Then, the proposed controller was used to the combined system including the DBS current and the PR model. Based on the results, the fixed-time sliding mode controller caused the system to approach a zero tracking error in a bounded and fixed time. In addition, the super-twisting sliding mode controller prevented chattering by producing a continuous control signal. Further, the integral sliding mode controller eliminated theHighlights: A controller is proposed to make the epileptic state reach a healthy state in a fixed and finite time. The controller is applied to the dynamic model of a neuron in the CA3 region via implanted electrodes in the DBS method. The time required to achieve zero tracking error occurs within a limited time. The problems of classical sliding mode controller such as chattering and singularity are solved. The proposed controller controls the value of DBS current over the time of stimulation, along with epilepsy control. Abstract: Epileptic seizures should be controlled in a fixed time. Deep brain stimulation (DBS) has many advantages in treating neurological disorders such as epilepsy. In the present study, a fixed-time integral supertwisting sliding mode controller was proposed to apply to the Pinsky-Rinzel (PR) dynamic model via the DBS method to avoid epileptic seizures. First, the current which was generated by the electrodes implanted into the brain in the DBS method, was applied to the state variable of soma membrane potential in the PR model. Then, the proposed controller was used to the combined system including the DBS current and the PR model. Based on the results, the fixed-time sliding mode controller caused the system to approach a zero tracking error in a bounded and fixed time. In addition, the super-twisting sliding mode controller prevented chattering by producing a continuous control signal. Further, the integral sliding mode controller eliminated the singularity problem caused by derivation and made the system asymptotic stable. Finally, the tracking error of the healthy state could reach zero within 2.5 milliseconds. Thus, it is suggested that the epileptic seizures be controlled exceeding this time. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 66(2021)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 66(2021)
- Issue Display:
- Volume 66, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 66
- Issue:
- 2021
- Issue Sort Value:
- 2021-0066-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04
- Subjects:
- Epilepsy -- Pinsky-Rinzel model -- Soma membrane potential -- Deep brain stimulation method -- The fixed time integral super twisting sliding mode controller
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2020.102166 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.880400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23779.xml