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Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing.

, , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (2): 67:1-67:33 (2020)

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Ke Zhai

Hongchen Zhai

Can Zhai

Wei Zhai

Junnai Zhai

 

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Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing., , , и . CoRR, (2021)ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition., , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 7 (2): 75:1-75:21 (2023)Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing., , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (4): 191:1-191:33 (2021)Ant colony optimization image registration algorithm based on wavelet transform and mutual information., , , и . ICDIP, том 8878 из SPIE Proceedings, стр. 88781J. SPIE, (2013)The future of sleep health: a data-driven revolution in sleep science and medicine., , , , , , , , и . npj Digit. Medicine, (2020)Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing., , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (2): 67:1-67:33 (2020)ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition., , , , и . CoRR, (2023)Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification., , и . ICBBT, стр. 149-155. ACM, (2023)Challenges and opportunities of deep learning for wearable-based objective sleep assessment., , и . npj Digit. Medicine, (2024)Link prediction of community in Microblog based on Exponential Random Graph Model., , и . WPMC, стр. 1-6. IEEE, (2013)