SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
Author:
Funder
Irish Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9629355/9629471/09631037.pdf?arnumber=9631037
Cited by 11 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. Change-point detection using diffusion maps for sleep apnea monitoring with contact-free sensors;PLOS ONE;2024-06-27
2. MSAF-Transformer: A Multi-scale attentive feature network for sleep apnea prediction based on single lead ECG signal;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24
3. Supervised classification of sleep events suitable for a minimized home-operated recording system;2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME);2023-11-30
4. Cloud-based non-invasive cognitive breath monitoring system for patients in health-care system;International Journal of Data Science and Analytics;2023-10-05
5. SelANet: decision-assisting selective sleep apnea detection based on confidence score;BMC Medical Informatics and Decision Making;2023-09-21
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