title: Non-contact physiological signal detection using continuous wave Doppler radar.
abstract: The aim of this work is to show non-contact physiological signal monitoring system based on continuous-wave (CW) Doppler radar, which is becoming highly attractive in the field of health care monitoring of elderly people. Two radar signal processing methods were introduced in this paper: one to extract respiration and heart rates of a single person and the other to separate mixed respiration signals. To verify the validity of the methods, physiological signal is obtained from stationary human subjects using a CW Doppler radar unit. The sensor operating at 24 GHz is located 0.5 meter away from the subject. The simulation results show that the respiration and heart rates are clearly extracted, and the mixed respiration signals are successfully separated. Finally, reference respiration and heart rate signals are measured by an ECG monitor and compared with the results tracked by the CW Doppler radar monitoring system.
authors.affiliation: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Key Lab for Health Informatics of Chinese Academy of Science.
authors.forename: Dengyu
authors.initials: D
authors.lastname: Qiao
authors.forename: Tan
authors.initials: T
authors.lastname: He
authors.forename: Boping
authors.initials: B
authors.lastname: Hu
authors.forename: Ye
authors.initials: Y
authors.lastname: Li
mesh_terms: D000328:Adult; D000465:Algorithms; D003198:Computer Simulation; D004562:Electrocardiography; D004867:Equipment Design; D006339:Heart Rate; D006801:Humans; D008297:Male; D008872:Microwaves; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D011825:Radar; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D012984:Software; D018608:Ultrasonography, Doppler
keywords: Physiological signal detection; continuous wave Doppler radar; non-contact