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...

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Detalles Bibliográficos
Autores principales: Wang, Ziyu, Yang, Jie, Wu, Hemmings, Zhu, Junming, Sawan, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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