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

Xu, Ziliang; Zhu, Yuanqiang; Zhao, Hongliang; Guo, Fan; Wang, Huaning; Zheng, Minwen

Xu, Ziliang; Zhu, Yuanqiang; Zhao, Hongliang; Guo, Fan; Wang, Huaning; Zheng, Minwen.

Affiliation

Xu Z; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China.
Zhu Y; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China.
Zhao H; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China.
Guo F; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China.
Wang H; Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China.
Zheng M; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China.

Nat Sci Sleep ; 14: 995-1007, 2022.

Article de En | MEDLINE | ID: mdl-35637772

Mots clés

deep learning network; electroencephalogram; sleep stage classification; time-frequency spectrum

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Nat Sci Sleep Année: 2022 Type de document: Article Pays de publication: Nouvelle-Zélande

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