DocumentCode :
714124
Title :
Contact-free detection of respiration signal from continuously moving-object noise via a Doppler radar using adaptive line enhancer
Author :
Chuantao Li ; Guohua Lu ; Fuming Chen ; Fugui Qi ; Jianqi Wang
Author_Institution :
Dept. of Med. Eng., Fourth Mil. Med. Univ., Xi´an, China
fYear :
2015
fDate :
3-6 May 2015
Firstpage :
801
Lastpage :
805
Abstract :
Doppler radar has been used to search survivors buried under earthquake rubble by contact-free detection of respiration signals. However, the respiration signals were minute and easy to be polluted by noise from moving-object around the survivor such as swing of flowers, leaves and bushes. In order to restrain the noise and improve the signal-to-noise ratio (SNR), the Adaptive Line Enhancer (ALE) was used to detect the respiration signals. Simulation and experiment results showed that the SNR was significantly improved.
Keywords :
Doppler radar; noise (working environment); signal detection; ALE; Doppler radar; SNR; adaptive line enhancer; contact-free respiration signal detection; continuously moving-object noise; signal-to-noise ratio; Doppler radar; Line enhancers; Noise cancellation; Radar detection; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
978-1-4799-5827-6
Type :
conf
DOI :
10.1109/CCECE.2015.7129377
Filename :
7129377
Link To Document :
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