Estimating the Parameters of the Epileptor Model for Epileptic Seizure Suppression

Autor: João Angelo Ferres Brogin, Jean Faber, Douglas D. Bueno
Přispěvatelé: Universidade Estadual Paulista (UNESP), Universidade de São Paulo (USP)
Rok vydání: 2022
Předmět:
Zdroj: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
ISSN: 1559-0089
Popis: Made available in DSpace on 2022-04-29T08:46:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01 Epilepsy is one of the most common brain disorders worldwide, affecting millions of people every year. Given the partially successful existing treatments for epileptiform activity suppression, dynamic mathematical models have been proposed with the purpose of better understanding the factors that might trigger an epileptic seizure and how to mitigate it, among which Epileptor stands out, due to its relative simplicity and consistency with experimental observations. Recent studies using this model have provided evidence that establishing a feedback-based control approach is possible. However, for this strategy to work properly, Epileptor’s parameters, which describe the dynamic characteristics of a seizure, must be known beforehand. Therefore, this work proposes a methodology for estimating such parameters based on a successive optimization technique. The results show that it is feasible to approximate their values as they converge to reference values based on different initial conditions, which are modeled by an uncertainty factor or noise addition. Also, interictal (healthy) and ictal (ongoing seizure) conditions, as well as time resolution, must be taken into account for an appropriate estimation. At last, integrating such a parameter estimation approach with observers and controllers for purposes of seizure suppression is carried out, which might provide an interesting alternative for seizure suppression in practice in the future. Department of Mechanical Engineering São Paulo State University (UNESP), 56 Brasil Avenue, São Paulo Department of Neurology and Neurosurgery Federal University of São Paulo, 667 Pedro de Toledo Street, São Paulo Department of Mathematics São Paulo State University (UNESP), 56 Brasil Avenue, São Paulo Department of Mechanical Engineering São Paulo State University (UNESP), 56 Brasil Avenue, São Paulo Department of Mathematics São Paulo State University (UNESP), 56 Brasil Avenue, São Paulo
Databáze: OpenAIRE
Externí odkaz: