Integrating old and new complexity measures toward automated seizure detection from long-term video EEG recordings

Automated seizure detection in long-term video-EEG recordings is far from being integrated into common clinical practice. Here, we leverage classical and state-of-the-art complexity measures to robustly and automatically detect seizures from scalp recordings. Brain activity is scored through eight f...

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Detalles Bibliográficos
Autores principales: Ruiz Marín, Manuel, Villegas Martínez, Irene, Rodríguez Bermúdez, Germán, Porfiri, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811137/
https://www.ncbi.nlm.nih.gov/pubmed/33490905
http://dx.doi.org/10.1016/j.isci.2020.101997

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811137/
https://www.ncbi.nlm.nih.gov/pubmed/33490905
http://dx.doi.org/10.1016/j.isci.2020.101997

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