Dual-Modal Information Bottleneck Network for Seizure Detection.

Wang, Jiale; Ge, Xinting; Shi, Yunfeng; Sun, Mengxue; Gong, Qingtao; Wang, Haipeng; Huang, Wenhui

Wang, Jiale; Ge, Xinting; Shi, Yunfeng; Sun, Mengxue; Gong, Qingtao; Wang, Haipeng; Huang, Wenhui.

Afiliación

Wang J; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, P. R. China.
Ge X; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, P. R. China.
Shi Y; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, P. R. China.
Sun M; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, P. R. China.
Gong Q; Ulsan Ship and Ocean College, Ludong University, Yantai 264025, P. R. China.
Wang H; Institute of Information Fusion, Naval, Aviation University, Yantai 264001, P. R. China.
Huang W; School of Information Science and Engineering, Shandong Normal University, Jinan 250358, P. R. China.

Int J Neural Syst ; 33(1): 2250061, 2023 Jan.

Article en En | MEDLINE | ID: mdl-36599663

Asunto(s)

Aprendizaje Profundo; Humanos; Procesamiento de Señales Asistido por Computador; Convulsiones/diagnóstico; Electroencefalografía/métodos; Redes Neurales de la Computación

Palabras clave

BiLSTM; Seizure detection; dual modal; information bottleneck; temporal dependencies

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Int J Neural Syst Asunto de la revista: ENGENHARIA BIOMEDICA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

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