Detecting Abnormal Electroencephalograms Using Deep Convolutional Networks

OBJECTIVES: Electroencephalography (EEG) is a central part of the medical evaluation for patients with neurological disorders. Training an algorithm to label the EEG normal vs abnormal seems challenging, because of EEG heterogeneity and dependence of contextual factors, including age and sleep stage...

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Détails bibliographiques
Publié dans:Clin Neurophysiol
Auteurs principaux: van Leeuwen, K.G., Sun, H., Tabaeizadeh, M., Struck, A.F., van Putten, M.J.A.M, Westover, M.B.
Format: Artigo
Langue:Inglês
Publié: 2018
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6309707/
https://ncbi.nlm.nih.gov/pubmed/30481649
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinph.2018.10.012
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