Automatic detection of epilepsy from EEGs using a temporal convolutional network with a self-attention layer
Abstract Background Over 60% of epilepsy patients globally are children, whose early diagnosis and treatment are critical for their development and can substantially reduce the disease’s burden on both families and society. Numerous algorithms for automated epilepsy detection from EEGs have been pro...
Tallennettuna:
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BMC
2024-06-01
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| Sarja: | BioMedical Engineering OnLine |
| Aiheet: | |
| Linkit: | https://doi.org/10.1186/s12938-024-01244-w |
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