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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Cho, Kyung-Ok, Jang, Hyun-Jong
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2020
Teme:
Online dostop: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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