A New Method for Identifying the Life Parameters via Radar

It has been proved that the vital signs can be detected via radar. To better identify the life parameters such as respiration and heartbeat, a novel method combined with several signal processing techniques is presented. Firstly, to improve the signal-to-noise ratio (SNR) of the life signals, the signal accumulation technique by FFT is used. Then, to restrain the interferences produced by moving objects, a dual filtering algorithm (DFA) which is able to remove the interferences by tracing the interfering spectral peaks is proposed. Finally, the wavelet transform is applied to separate the heartbeat from the respiration signal. The method cannot only help to automatically detect the existence of human beings effectively, but also identifying the parameters like respiration, heartbeat, and body-moving signals significantly. Experimental results demonstrated that the method is very promising in identifying the life parameters via radar.

[1]  J Q Wang,et al.  [The study on non-contact detection of breathing and heartbeat based on radar principles]. , 2001, Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation.

[2]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[3]  Chong-xun Zheng,et al.  Study on a non-contact life parameter detection system using millimeter wave. , 2004, Hang tian yi xue yu yi xue gong cheng = Space medicine & medical engineering.

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

[5]  O. Boric-Lubecke,et al.  Range correlation effect on ISM band I/Q CMOS radar for non-contact vital signs sensing , 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

[6]  Jenshan Lin,et al.  0.25 /spl mu/m CMOS and BiCMOS single-chip direct-conversion Doppler radars for remote sensing of vital signs , 2002, 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315).

[7]  Yong Huang,et al.  Microwave life-detection systems for searching human subjects under earthquake rubble or behind barrier , 2000, IEEE Transactions on Biomedical Engineering.

[8]  Huey-Ru Chuang,et al.  Automatic clutter-canceler for microwave life-detection systems , 1991 .