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Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands
Epilepsy diagnosis through visual examination of interictal epileptiform discharges (IEDs) in scalp electroencephalogram (EEG) signals is a challenging problem. Deep learning methods can be an automated way to perform this task. In this work, we present a new approach based on convolutional neural n...
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| Yayımlandı: | Annu Int Conf IEEE Eng Med Biol Soc |
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| Asıl Yazarlar: | , , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7545315/ https://ncbi.nlm.nih.gov/pubmed/33018805 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC44109.2020.9175644 |
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