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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...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | Sci Rep |
|---|---|
| Prif Awduron: | , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
Nature Publishing Group UK
2020
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| Pynciau: | |
| Mynediad Ar-lein: | 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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