DocumentCode
149816
Title
Movement-immune respiration monitoring using automatic DC-correction algorithm for CW Doppler radar system
Author
Li, Yiran ; Wang, Guochao ; Gu, Changzhan ; Li, Changzhi
Author_Institution
Texas Tech University, Lubbock, TX, 79409, US
fYear
2014
fDate
19-23 Jan. 2014
Firstpage
7
Lastpage
9
Abstract
Doppler radar has the capability to remotely monitor human respiration. However, in real applications random body movements during measurement will cause drift of “DC” level in the experiment results. Also, the dc level will shift slowly with the temperature change of the radar circuit. Those DC drifts will cause inaccurate measurement results. To solve the dc drift issue during the experiments, an automatic DC-correction algorithm is developed. Experiment results show that this algorithm eliminates undesirable DC drifts and offset while recovering useful information of the original respiration signal. It is able to provide reliable respiration measurement even if there are large body movements that otherwise overwhelm the desired signal.
Keywords
Biomedical measurement; Doppler radar; Motion segmentation; Sensors; Spectrogram; Temperature measurement; DC offset; DC shift; DC-coupled CW radar; respiration measurement; spectrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), 2014 IEEE Topical Conference on
Conference_Location
Newport Beach, CA, USA
Print_ISBN
978-1-4799-2298-7
Type
conf
DOI
10.1109/BioWireleSS.2014.6827740
Filename
6827740
Link To Document