A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network
The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, which is crucial to improving patients’ quality of life. Many deep learning-based methods have been developed to tackle this issue and achieve significant progress in recent years. However, t...
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| Autores principales: | , , , , |
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| Formato: | Libro |
| Publicado: |
IEEE,
2023-01-01T00:00:00Z.
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| Número de Clasificación: |
A1234.567 |
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| Copia 1 | Disponible |