Cardiopulmonary Signal Sensing from Subject Wearing Body Armor

Continuous wave (CW) Doppler motion sensing radar can detect human physiological signal such as respiration or heart signals at a distance and through barriers. It has been shown that heart rate can be extracted with good accuracy for normally clothed subjects. Such technique could potentially be used to search for survivors in battlefield triage applications. To assess the feasibility of such applications, we investigated Doppler radar of cardiopulmonary signal sensing from subjects wearing body armor vests. This paper presents measurement results of heart signals obtained using CW Doppler radar from a subject wearing body armor vest. Since armor plate reflects most of the RF signal, received signal after reflected from a subject is phase modulated with motion of an armor plate induced by chest motion, rather than directly with chest motion due to cardiopulmonary motion. Two different cases, including supine and seated positions, are chosen for this study, and good sensitivity was obtained in both cases. To the best of author's knowledge, this is the first published result of cardiopulmonary signal detection from a subject wearing a body armor vest.

[1]  Byung-Kwon Park,et al.  Arctangent Demodulation With DC Offset Compensation in Quadrature Doppler Radar Receiver Systems , 2007, IEEE Transactions on Microwave Theory and Techniques.

[2]  Byung-Kwon Park,et al.  Center Tracking Quadrature Demodulation for a Doppler Radar Motion Detector , 2007, 2007 IEEE/MTT-S International Microwave Symposium.

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

[4]  Jenshan Lin,et al.  Frequency-tuning technique for remote detection of heartbeat and respiration using low-power double-sideband transmission in the ka-band , 2006, IEEE Transactions on Microwave Theory and Techniques.

[5]  A. Eberhard,et al.  New statistical method for detection and quantification of respiratory sinus arrhythmia , 1999, IEEE Transactions on Biomedical Engineering.

[6]  Peter Funk,et al.  A Case-Based Classification of Respiratory Sinus Arrhythmia , 2004, ECCBR.

[7]  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.

[8]  O. Boric-Lubecke,et al.  A digital signal processor for Doppler radar sensing of vital signs , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.