title: Suppression of seizures based on the multi-coupled neural mass model.
abstract: Epilepsy is one of the most common serious neurological disorders, which affects approximately 1% of population in the world. In order to effectively control the seizures, we propose a novel control methodology, which combines the feedback linearization control (FLC) with the underlying mechanism of epilepsy, to achieve the suppression of seizures. The three coupled neural mass model is constructed to study the property of the electroencephalographs (EEGs). Meanwhile, with the model we research on the propagation of epileptiform waves and the synchronization of populations, which are taken as the foundation of our control method. Results show that the proposed approach not only yields excellent performances in clamping the pathological spiking patterns to the reference signals derived under the normal state but also achieves the normalization of the pathological parameter, where the parameters are estimated from EEGs with Unscented Kalman Filter. The specific contribution of this paper is to treat the epilepsy from its pathogenesis with the FLC, which provides critical theoretical basis for the clinical treatment of neurological disorders.
authors.affiliation: School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Yuzhen
authors.initials: Y
authors.lastname: Cao
authors.affiliation: School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Kaili
authors.initials: K
authors.lastname: Ren
authors.affiliation: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Su
authors.affiliation: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Deng
authors.affiliation: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
authors.forename: Xile
authors.initials: X
authors.lastname: Wei
authors.affiliation: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
authors.forename: Jiang
authors.initials: J
authors.lastname: Wang
mesh_terms: D058256:Brain Waves; D006801:Humans; D008959:Models, Neurological; D012640:Seizures / Q000503:physiopathology* / Q000628:therapy