Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach

Deep learning (DL) is emerging as a successful technique for automatic detection and differentiation of spontaneous seizures that may otherwise be missed or misclassified. Herein, we propose a system architecture based on top-performing DL models for binary and multigroup classifications with the no...

Descripción completa

Detalles Bibliográficos
Autores principales: Statsenko, Yauhen, Babushkin, Vladimir, Talako, Tatsiana, Kurbatova, Tetiana, Smetanina, Darya, Simiyu, Gillian Lylian, Habuza, Tetiana, Ismail, Fatima, Almansoori, Taleb M., Gorkom, Klaus N.-V., Szólics, Miklós, Hassan, Ali, Ljubisavljevic, Milos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525492/
https://www.ncbi.nlm.nih.gov/pubmed/37760815
http://dx.doi.org/10.3390/biomedicines11092370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525492/
https://www.ncbi.nlm.nih.gov/pubmed/37760815
http://dx.doi.org/10.3390/biomedicines11092370

Ejemplares similares