Sleep Stage Classification Based on Multi-Centers: Comparison Between Different Ages, Mental Health Conditions and Acquisition Devices

PURPOSE: To investigate the general sleep stage classification performance of deep learning networks, three datasets, across different age groups, mental health conditions, and acquisition devices, comprising adults (SHHS) and children without mental health conditions (CCSHS), and subjects with ment...

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Detalles Bibliográficos
Autores principales: Xu, Ziliang, Zhu, Yuanqiang, Zhao, Hongliang, Guo, Fan, Wang, Huaning, Zheng, Minwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148176/
https://www.ncbi.nlm.nih.gov/pubmed/35637772
http://dx.doi.org/10.2147/NSS.S355702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148176/
https://www.ncbi.nlm.nih.gov/pubmed/35637772
http://dx.doi.org/10.2147/NSS.S355702

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