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A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram
BACKGROUND: Finding interictal epileptiform discharges (IEDs) in the EEG is a part of diagnosing epilepsy. Automated software for annotating EEGs of patients with suspected epilepsy can therefore help with reaching a diagnosis. A large amount of data is required for training and evaluating an effect...
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| Publié dans: | J Neurosci Methods |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6993930/ https://ncbi.nlm.nih.gov/pubmed/31310822 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2019.108362 |
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