Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation

The analysis of sleep stages for children plays an important role in early diagnosis and treatment. This paper introduces our sleep stage classification method addressing the following two challenges: the first is the data imbalance problem, i.e., the highly skewed class distribution with underrepre...

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Detalles Bibliográficos
Autores principales: Huang, Xinyu, Shirahama, Kimiaki, Irshad, Muhammad Tausif, Nisar, Muhammad Adeel, Piet, Artur, Grzegorzek, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098613/
https://www.ncbi.nlm.nih.gov/pubmed/37050506
http://dx.doi.org/10.3390/s23073446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098613/
https://www.ncbi.nlm.nih.gov/pubmed/37050506
http://dx.doi.org/10.3390/s23073446

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