Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet

Automatic seizure detection technology has important implications for reducing the workload of neurologists for epilepsy diagnosis and treatment. Due to the unpredictable nature of seizures, the imbalanced classification of seizure and nonseizure data continues to be challenging. In this work, we fi...

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Detalles Bibliográficos
Autores principales: Zhang, Peiling, Zhang, Xuan, Liu, Ankang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792253/
https://www.ncbi.nlm.nih.gov/pubmed/36578313
http://dx.doi.org/10.1155/2022/4114178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792253/
https://www.ncbi.nlm.nih.gov/pubmed/36578313
http://dx.doi.org/10.1155/2022/4114178

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