CASIA OpenIR  > 中国科学院分子影像重点实验室
Sleep Apnea Syndrome Sensing at C-Band
Yang, Xiaodong1; Fan, Dou1; Ren, Aifeng1; Zhao, Nan1; Zhang, Zhiya1; Hu, Fangming1; Wang, Weigang2; Rehman, Masood Ur3; Tian, Jie4,5
Source PublicationIEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM
ISSN2168-2372
2018
Volume6Pages:8
Corresponding AuthorTian, Jie(jaytian99@gmail.com)
AbstractA 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.
KeywordSleep detection C-Band sensing peak distance calculation concordance correlation coefficient
DOI10.1109/JTEHM.2018.2879085
WOS KeywordRADAR
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61671349] ; National Natural Science Foundation of China[61301175] ; National Natural Science Foundation of China[61601338] ; China Postdoctoral Science Foundation[2018T111023] ; International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province[2017KW-005] ; Fundamental Research Funds for the Central Universities[JB180205]
Funding OrganizationNational Natural Science Foundation of China ; China Postdoctoral Science Foundation ; International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province ; Fundamental Research Funds for the Central Universities
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:000450613500001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22570
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China
2.Xi An Jiao Tong Univ, Northwest Womens & Childrens Hosp, Xian 710061, Shaanxi, Peoples R China
3.Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England
4.Xidian Univ, Sch Life Sci & Technol, Xian 710126, Shaanxi, Peoples R China
5.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yang, Xiaodong,Fan, Dou,Ren, Aifeng,et al. Sleep Apnea Syndrome Sensing at C-Band[J]. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM,2018,6:8.
APA Yang, Xiaodong.,Fan, Dou.,Ren, Aifeng.,Zhao, Nan.,Zhang, Zhiya.,...&Tian, Jie.(2018).Sleep Apnea Syndrome Sensing at C-Band.IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM,6,8.
MLA Yang, Xiaodong,et al."Sleep Apnea Syndrome Sensing at C-Band".IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 6(2018):8.
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