An Efficient Approach to Define the Input Stimuli to Suppress Epileptic Seizures Described by the Epileptor Model

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Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorBrogin, João Angelo Ferres [UNESP]-
Autor(es): dc.creatorFaber, Jean-
Autor(es): dc.creatorBueno, Douglas Domingues [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:47:39Z-
Data de disponibilização: dc.date.available2022-02-22T00:47:39Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-10-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1142/S0129065720500628-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206622-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206622-
Descrição: dc.descriptionEpilepsy affects about 70 million people in the world. Every year, approximately 2.4 million people are diagnosed with epilepsy, two-thirds of them will not know the etiology of their disease, and 1% of these individuals will decease as a consequence of it. Due to the inherent complexity of predicting and explaining it, the mathematical model Epileptor was recently developed to reproduce seizure-like events, also providing insights to improve the understanding of the neural dynamics in the interictal and ictal periods, although the physics behind each parameter and variable of the model is not fully established in the literature. This paper introduces an approach to design a feedback-based controller for suppressing epileptic seizures described by Epileptor. Our work establishes how the nonlinear dynamics of this disorder can be written in terms of a combination of linear sub-models employing an exact solution. Additionally, we show how a feedback control gain can be computed to suppress seizures, as well as how specific shapes applied as input stimuli for this purpose can be obtained. The practical application of the approach is discussed and the results show that the proposed technique is promising for developing controllers in this field.-
Descrição: dc.descriptionDepartment of Mechanical Engineering São Paulo State University (UNESP) School of Engineering of Ilha Solteira, 56 Brasil Avenue-
Descrição: dc.descriptionDepartment of Neurology and Neurosurgery Federal University of São Paulo (UNIFESP), 667 Pedro de Toledo Street-
Descrição: dc.descriptionDepartment of Mathematics São Paulo State University (UNESP) School of Engineering of Ilha Solteira, 56 Brasil Avenue-
Descrição: dc.descriptionDepartment of Mechanical Engineering São Paulo State University (UNESP) School of Engineering of Ilha Solteira, 56 Brasil Avenue-
Descrição: dc.descriptionDepartment of Mathematics São Paulo State University (UNESP) School of Engineering of Ilha Solteira, 56 Brasil Avenue-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Neural Systems-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectEpileptic seizure suppression-
Palavras-chave: dc.subjectEpileptor model-
Palavras-chave: dc.subjectfuzzy Takagi-Sugeno modeling-
Palavras-chave: dc.subjectlinear matrix inequalities-
Título: dc.titleAn Efficient Approach to Define the Input Stimuli to Suppress Epileptic Seizures Described by the Epileptor Model-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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