Predicting seizure by modeling synaptic plasticity based on EEG signals - a case study of inherited epilepsy.

Zhang, Honghui; Su, Jianzhong; Wang, Qingyun; Liu, Yueming; Good, Levi; Pascual, Juan

Zhang, Honghui; Su, Jianzhong; Wang, Qingyun; Liu, Yueming; Good, Levi; Pascual, Juan.

Afiliación

Zhang H; School of Natural and Applied Science, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China.
Su J; Department of Mathematics, The University of Texas at Arlington, Texas, 76019, USA.
Wang Q; Department of Dynamics and Control, Beihang University, Beijing, 100191, China.
Liu Y; Department of Mathematics, The University of Texas at Arlington, Texas, 76019, USA.
Good L; Department of Neurology, University of Texas Southwestern medical center at Dallas, Dallas, Texas, 75390, USA.
Pascual J; Department of Neurology, University of Texas Southwestern medical center at Dallas, Dallas, Texas, 75390, USA.

Commun Nonlinear Sci Numer Simul ; 56: 330-343, 2018 Mar.

Article en En | MEDLINE | ID: mdl-29430161

Palabras clave

EEG; inherited seizures; seizure prediction; synaptic plasticity

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Nonlinear Sci Numer Simul Año: 2018 Tipo del documento: Article País de afiliación: China

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