LWSleepNet: A lightweight attention-based deep learning model for sleep staging with singlechannel EEG

INTRODUCTION: Sleep is vital to human health, and sleep staging is an essential process in sleep assessment. However, manual classification is an inefficient task. Along with the increased demand for portable sleep quality detection devices, lightweight automatic sleep staging needs to be developed....

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Detalles Bibliográficos
Autores principales: Yang, Chenguang, Li, Baozhu, Li, Yamei, He, Yixuan, Zhang, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388613/
https://www.ncbi.nlm.nih.gov/pubmed/37529540
http://dx.doi.org/10.1177/20552076231188206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388613/
https://www.ncbi.nlm.nih.gov/pubmed/37529540
http://dx.doi.org/10.1177/20552076231188206

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