Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images

We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals. If so, seizure detection could benefit from convolutional neural network...

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Detalles Bibliográficos
Autores principales: Emami, Ali, Kunii, Naoto, Matsuo, Takeshi, Shinozaki, Takashi, Kawai, Kensuke, Takahashi, Hirokazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357853/
https://www.ncbi.nlm.nih.gov/pubmed/30711680
http://dx.doi.org/10.1016/j.nicl.2019.101684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357853/
https://www.ncbi.nlm.nih.gov/pubmed/30711680
http://dx.doi.org/10.1016/j.nicl.2019.101684

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