Dual deep neural network-based classifiers to detect experimental seizures

Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural netw...

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Detalles Bibliográficos
Autores principales: Jang, Hyun-Jong, Cho, Kyung-Ok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Physiological Society and The Korean Society of Pharmacology 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384195/
https://www.ncbi.nlm.nih.gov/pubmed/30820157
http://dx.doi.org/10.4196/kjpp.2019.23.2.131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384195/
https://www.ncbi.nlm.nih.gov/pubmed/30820157
http://dx.doi.org/10.4196/kjpp.2019.23.2.131

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