AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging

The widespread prevalence of sleep problems in children highlights the importance of timely and accurate sleep staging in the diagnosis and treatment of pediatric sleep disorders. However, most existing sleep staging methods rely on one-dimensional raw polysomnograms or two-dimensional spectrograms,...

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Bibliographic Details
Main Authors: Yunfeng Zhu, Yunxiao Wu, Zhiya Wang, Ligang Zhou, Chen Chen, Zhifei Xu, Wei Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Online Access:https://ieeexplore.ieee.org/document/10741586/
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