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Optimisation of deep neural networks for identification of epileptic abnormalities from electroencephalogram signals
An electroencephalogram (EEG) measures and records the electrical activity of the brain. It provides valuable information that can be used to identify epileptic abnormalities. However, the visual identification of such abnormalities from EEG signals by expert neurologists is time consuming. Therefor...
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| Veröffentlicht in: | Heliyon |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7753124/ https://ncbi.nlm.nih.gov/pubmed/33364484 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2020.e05694 |
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