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Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network
Epilepsy is one of the most common chronic neurological diseases. High-frequency oscillations (HFOs) have emerged as promising biomarkers for the epileptogenic zone. However, visual marking of HFOs is a time-consuming and laborious process. Several automated techniques have been proposed to detect H...
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| Pubblicato in: | Front Comput Neurosci |
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| Autori principali: | , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6379273/ https://ncbi.nlm.nih.gov/pubmed/30809142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2019.00006 |
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