Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International ConferenceHumansElectroencephalographySleep StagesElectrooculographyDeep Learning
MultiConsSleepNet: Self-Supervised Contrastive Learning for a Multimodal Consistency-Based Automatic Sleep Staging Model.
Yangzuyi Yu, Shuyu Chen, Wanxin Wei, Jingcong Li, Jiahui Pan
Published: 202510.1109/EMBC58623.2025.11251569
Abstract
Sleep is essential for human survival, and accurate sleep staging has significant potential for real-world applications. While deep learning methods for automatic sleep staging have shown promise, several challenges remain: 1) how to efficiently extr…
Preview only. Read the full abstract at the source