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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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| Publicat a: | Clin Neurophysiol |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| 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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