Sleep apnea syndrome sensing at C-Band

Yang, X., Fan, D., Ren, A., Zhao, N., Zhang, Z., Hu, F., Wang, W., Ur Rehman, M. and Tian, J. (2018) Sleep apnea syndrome sensing at C-Band. IEEE Journal of Translational Engineering in Health and Medicine, 6, 2701008. (doi:10.1109/JTEHM.2018.2879085) (PMID:30464861) (PMCID:PMC6242699)

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Abstract

A non-intrusive sleep apnea detection system using a C-Band channel sensing technique is proposed to monitor sleep apnea syndrome in real time. The system utilizes perturbations of RF signals to differentiate between patient's breathing under normal and sleep apnea conditions. The peak distance calculation is used to obtain the respiratory rates. A comparison of the datasets generated by the proposed method and a wearable sensor is made using a concordance correlation coefficient to establish its accuracy. The results show that the proposed sensing technique exhibits high accuracy and robustness, with more than 80% concordance with the wearable breathing sensor. This method is, therefore, a good candidate for the real-time wireless detection of sleep apnea.

Item Type:Articles
Additional Information:This work was supported in part by the National Natural Science Foundation of China under Grant 61671349, Grant 61301175, and Grant 61601338, in part by the China Postdoctoral Science Foundation Funded Project under Grant 2018T111023, in part by the International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province under Grant 2017KW-005, and in part by the Fundamental Research Funds for the Central Universities under Grant JB180205.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ur Rehman, Dr Masood
Authors: Yang, X., Fan, D., Ren, A., Zhao, N., Zhang, Z., Hu, F., Wang, W., Ur Rehman, M., and Tian, J.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IEEE Journal of Translational Engineering in Health and Medicine
Publisher:IEEE
ISSN:2168-2372
ISSN (Online):2168-2372
Published Online:01 November 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Journal of Translational Engineering in Health and Medicine 6:2701008
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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