Non-contact Respiratory Monitoring of Subjects with Sleep-Disordered Breathing-Reference-Cited by-同舟云学术

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Non-contact Respiratory Monitoring of Subjects with Sleep-Disordered Breathing

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS)
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Author:

Tataraidze Alexander B,Anishchenko Lesya N.,Korostovtseva Lyudmila S.,Bochkarev Mikhail V.,Sviryaev Yurii V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8491724/8524898/08525001.pdf?arnumber=8525001

Cited by 9 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. ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal;Applied Computational Intelligence and Soft Computing;2023-09-19

2. Predicting Sleeping Quality Using Convolutional Neural Networks;Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies;2023

3. Automatic Analysis of Sleep Apnea using DNN andHRV features;2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2022-12-30

4. Non-Contact Detection of Vital Signs Based on Improved Adaptive EEMD Algorithm (July 2022);Sensors;2022-08-25

5. Unobtrusive Monitoring of Sleep Cycles: A Technical Review;BioMedInformatics;2022-03-09

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