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Comparison of different input modalities and network structures for deep learning-based seizure detection
The manual review of an electroencephalogram (EEG) for seizure detection is a laborious and error-prone process. Thus, automated seizure detection based on machine learning has been studied for decades. Recently, deep learning has been adopted in order to avoid manual feature extraction and selectio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954227/ https://www.ncbi.nlm.nih.gov/pubmed/31924842 http://dx.doi.org/10.1038/s41598-019-56958-y |