A Closed-Loop Brain Stimulation Control System Design Based on Brain-Machine Interface for Epilepsy

Author:

Qian Moshu12ORCID,Zhong Guanghua1,Yan Xinggang3ORCID,Wang Heyuan4,Cui Yang4

Affiliation:

1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China

2. State Key Laboratory of Mechanics and Control of Mechanical Structures, NUAA, Nanjing 210016, China

3. Instrumentation and Control Research Group, University of Kent, Canterbury, Kent CT2 7NT, UK

4. Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun 130021, China

Abstract

In this study, a closed-loop brain stimulation control system scheme for epilepsy seizure abatement is designed by brain-machine interface (BMI) technique. In the controller design process, the practical parametric uncertainties involving cerebral blood flow, glucose metabolism, blood oxygen level dependence, and electromagnetic disturbances in signal control are considered. An appropriate transformation is introduced to express the system in regular form for design and analysis. Then, sufficient conditions are developed such that the sliding motion is asymptotically stable. Combining Caputo fractional order definition and neural network (NN), a finite time fractional order sliding mode (FFOSM) controller is designed to guarantee reachability of the sliding mode. The stability and reachability analysis of the closed-loop tracking control system gives the guideline of parameter selection, and simulation results based on comprehensive comparisons are carried out to demonstrate the effectiveness of proposed approach.

Funder

Post Doctoral Research Foundation of Jiangsu Province

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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