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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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Dades bibliogràfiques
Publicat a:Clin Neurophysiol
Autors principals: van Leeuwen, K.G., Sun, H., Tabaeizadeh, M., Struck, A.F., van Putten, M.J.A.M, Westover, M.B.
Format: Artigo
Idioma:Inglês
Publicat: 2018
Matèries:
Accés en línia: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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