Respiratory Event Detection During Sleep Using Electrocardiogram and Respiratory Related Signals: Using Polysomnogram and Patch-Type Wearable Device Data

Author:

Yeo MinsooORCID,Byun Hoonsuk,Lee JiyeonORCID,Byun JungickORCID,Rhee Hak YoungORCID,Shin WonchulORCID,Yoon HeenamORCID

Funder

National Heart, Lung, and Blood Institute

Cleveland Family Study

National Institutes of Health

Multi-Ethnic Study of Atherosclerosis

Sleep Disorders with Cardiovascular Health Across Ethnic Groups

National Center for Advancing Translational Sciences

Taewoong Medical

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Cited by 15 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. Screening for moderate to severe obstructive sleep apnea by using heart rate variability features based on random forest algorithm;Sleep and Breathing;2024-09-10

2. Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis;Journal of Medical Internet Research;2024-09-10

3. Avoiding Post-Processing With Event-Based Detection in Biomedical Signals;IEEE Transactions on Biomedical Engineering;2024-08

4. A Transformer-Based Deep Learning Model for Sleep Apnea Detection and Application on RingConn Smart Ring;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. OSAHS Detection Capabilities of RingConn Smart Ring: A Feasibility Study;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

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