A Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection.

Raeisi, Khadijeh; Khazaei, Mohammad; Tamburro, Gabriella; Croce, Pierpaolo; Comani, Silvia; Zappasodi, Filippo

Raeisi, Khadijeh; Khazaei, Mohammad; Tamburro, Gabriella; Croce, Pierpaolo; Comani, Silvia; Zappasodi, Filippo.

Afiliación

Raeisi K; Department of Neuroscience, Imaging and Clinical Sciences, Universita Gabriele d'Annunzio, Chieti 66100, Italy.
Khazaei M; Department of Neuroscience, Imaging and Clinical Sciences, Universita Gabriele d'Annunzio, Chieti 66100, Italy.
Tamburro G; Department of Neuroscience, Imaging and Clinical Sciences-Behavioral Imaging and Neural Dynamics Center, Universita Gabriele d'Annunzio, Chieti 66100, Italy.
Croce P; Department of Neuroscience, Imaging and Clinical Sciences-Behavioral Imaging and Neural Dynamics Center, Universita Gabriele d'Annunzio, Chieti 66100, Italy.
Comani S; Department of Neuroscience, Imaging and Clinical Sciences-Behavioral Imaging and Neural Dynamics Center, Universita Gabriele d'Annunzio, Chieti 66100, Italy.
Zappasodi F; Department of Neuroscience, Imaging and Clinical Sciences-Behavioral, Imaging and Neural Dynamics Center-Institute for, Advanced Biomedical Technologies, Universita Gabriele d'Annunzio, Chieti 66100, Italy.

Int J Neural Syst ; 33(9): 2350046, 2023 Sep.

Article en En | MEDLINE | ID: mdl-37497802

Asunto(s)

Electroencefalografía; Epilepsia; Recién Nacido; Humanos; Electroencefalografía/métodos; Convulsiones/diagnóstico; Epilepsia/diagnóstico; Redes Neurales de la Computación

Palabras clave

Convolutional Neural Networks (CNN); Electroencephalography (EEG); Graph Attention Networks (GAT); attention mechanism; focal loss; neonatal seizure detection

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

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