Sleep Apnea Syndrome Sensing at C-Band

Xiaodong Yang; Dou Fan; Aifeng Ren; Nan Zhao; Zhiya Zhang; Fangming Hu; Weigang Wang; Masood Ur Rehman; Jie Tian

doi:10.1109/JTEHM.2018.2879085

Sleep Apnea Syndrome Sensing at C-Band

IEEE J Transl Eng Health Med. 2018 Nov 1:6:2701008. doi: 10.1109/JTEHM.2018.2879085. eCollection 2018.

Authors

Xiaodong Yang¹, Dou Fan¹, Aifeng Ren¹, Nan Zhao¹, Zhiya Zhang¹, Fangming Hu¹, Weigang Wang², Masood Ur Rehman³, Jie Tian^{4

5}

Affiliations

¹ School of Electronic EngineeringXidian UniversityXi'an710071China.
² Northwest Women's and Children's HospitalXi'an Jiaotong UniversityXi'an710061China.
³ School of Computer Science and Electronic EngineeringUniversity of EssexColchesterCO4 3SQU.K.
⁴ School of Life Sciences and TechnologyXidian UniversityXi'an710126China.
⁵ Institute of AutomationChinese Academy of SciencesBeijing100190China.

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.

Keywords: C-Band sensing; Sleep detection; concordance correlation coefficient; peak distance calculation.

Grants and funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61671349, Grant 61301175, and Grant 61601338, the China Postdoctoral Science Foundation Funded Project under Grant 2018T111023, the International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province under Grant 2017KW-005, and the Fundamental Research Funds for the Central Universities under Grant JB180205.