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Power efficient refined seizure prediction algorithm based on an enhanced benchmarking
Deep learning techniques have led to significant advancements in seizure prediction research. However, corresponding used benchmarks are not uniform in published results. Moreover, inappropriate training and evaluation processes used in various work create overfitted models, making prediction perfor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648730/ https://www.ncbi.nlm.nih.gov/pubmed/34873202 http://dx.doi.org/10.1038/s41598-021-02798-8 |