Non-contact physiological signal detection using continuous wave Doppler radar.

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.

[1]  E. Oja,et al.  Independent Component Analysis , 2001 .

[2]  Olga Boric-Lubecke,et al.  Source separation applied to heartbeat doppler radar , 2007, SIP.

[3]  D. Samardzija,et al.  Doppler radar sensing of multiple subjects in single and multiple antenna systems , 2005, TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services.

[4]  James C. Lin,et al.  Microwave sensing of physiological movement and volume change: a review. , 1992, Bioelectromagnetics.

[5]  Pierre Comon,et al.  Independent component analysis, A new concept? , 1994, Signal Process..

[6]  Andrzej Cichocki,et al.  Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications , 2002 .

[7]  Alle-Jan van der Veen,et al.  Analytical method for blind binary signal separation , 1997, Proceedings of 13th International Conference on Digital Signal Processing.

[8]  Olga Boric-Lubecke,et al.  Detection of Multiple Heartbeats Using Doppler Radar , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[9]  Kun-mu Chen,et al.  An X-Band Microwave Life-Detection System , 1986, IEEE Transactions on Biomedical Engineering.

[10]  O. Boric-Lubecke,et al.  Signal-to-Noise Ratio in Doppler Radar System for Heart and Respiratory Rate Measurements , 2009, IEEE Transactions on Microwave Theory and Techniques.

[11]  J.C. Lin.  Noninvasive microwave measurement of respiration , 1975, Proceedings of the IEEE.

[12]  Jenshan Lin,et al.  Range correlation and I/Q performance benefits in single-chip silicon Doppler radars for noncontact cardiopulmonary monitoring , 2004, IEEE Transactions on Microwave Theory and Techniques.

[13]  W. K. Saunders.  Post-War Developments in Continuous-Wave and Frequency-Modulated Radar , 1961, IRE Transactions on Aerospace and Navigational Electronics.