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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...
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| Veröffentlicht in: | Sci Rep |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6954227/ https://ncbi.nlm.nih.gov/pubmed/31924842 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-56958-y |
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