CAttSleepNet: Automatic End-to-End Sleep Staging Using Attention-Based Deep Neural Networks on Single-Channel EEG

Accurate sleep staging results can be used to measure sleep quality, providing a reliable basis for the prevention and diagnosis of sleep-related diseases. The key to sleep staging is the feature representation of EEG signals. Existing approaches rarely consider local features in feature extraction,...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Tingting, Zhang, Bofeng, Lv, Hehe, Hu, Shengxiang, Xu, Zhikang, Tuergong, Yierxiati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104971/
https://www.ncbi.nlm.nih.gov/pubmed/35564593
http://dx.doi.org/10.3390/ijerph19095199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104971/
https://www.ncbi.nlm.nih.gov/pubmed/35564593
http://dx.doi.org/10.3390/ijerph19095199

Ejemplares similares