A sparse multiscale nonlinear autoregressive model for seizure prediction.

Yu, Pen-Ning; Liu, Charles Y; Heck, Christianne N; Berger, Theodore W; Song, Dong

Yu, Pen-Ning; Liu, Charles Y; Heck, Christianne N; Berger, Theodore W; Song, Dong.

Afiliação

Yu PN; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States of America.
Liu CY; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, United States of America.
Heck CN; Department of Neurological Surgery, University of Southern California, Los Angeles, CA 90033, United States of America.
Berger TW; Department of Neurology, University of Southern California, Los Angeles, CA 90033, United States of America.
Song D; USC Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America.

J Neural Eng ; 18(2)2021 02 26.

Article em En | MEDLINE | ID: mdl-33470981

Assuntos

Eletroencefalografia; Convulsões; Animais; Cães; Eletrocorticografia; Humanos; Neurobiologia; Dinâmica não Linear; Convulsões/diagnóstico

Palavras-chave

Laguerre expansion; Volterra model; autoregressive model; epilepsy; multi-scale model; nonlinear dynamical model; seizure prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Convulsões / Eletroencefalografia Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: J Neural Eng Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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