Noncontact Sleep Stage Estimation Using a CW Doppler Radar

Author:

Hong HongORCID,Zhang LiORCID,Gu Chen,Li Yusheng,Zhou Guangxin,Zhu Xiaohua

Funder

National Natural Science Foundation of China

National Key Technology Support Program

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 57 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sleep stage estimation method based on state transition using millimeter-wave radar;Fifteenth International Conference on Signal Processing Systems (ICSPS 2023);2024-03-28

2. A Review on Automated Sleep Study;Annals of Biomedical Engineering;2024-03-16

3. Ultra-Wideband Radar-Based Sleep Stage Classification in Smartphone Using an End-to-End Deep Learning;IEEE Access;2024

4. A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring;IEEE Open Journal of Engineering in Medicine and Biology;2024

5. Technologies for sleep monitoring at home: wearables and nearables;Biomedical Engineering Letters;2023-07-07

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