MCAF-Net: Multi-Channel Temporal Cross-Attention Network with Dynamic Gating for Sleep Stage Classification
Automated sleep stage classification is essential for objective sleep evaluation and clinical diagnosis. While numerous algorithms have been developed, the predominant existing methods utilize single-channel electroencephalogram (EEG) signals, neglecting the complementary physiological information a...
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Main Authors: | Xuegang Xu, Quan Wang, Changyuan Wang, Yaxin Zhang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/14/4251 |
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