TY - JOUR
T1 - Doppler Vital Signs Detection in the Presence of Large-Scale Random Body Movements
AU - Lv, Qinyi
AU - Chen, Lei
AU - An, Kang
AU - Wang, Jun
AU - Li, Huan
AU - Ye, Dexin
AU - Huangfu, Jiangtao
AU - Li, Changzhi
AU - Ran, Lixin
N1 - Funding Information:
Manuscript received January 23, 2018; revised May 8, 2018; accepted June 20, 2018. Date of publication July 20, 2018; date of current version September 4, 2018. This work was supported by the NSFC under Grant 61771421, Grant 51607168, Grant 61701437, Grant 61771422, and Grant 61471315. (Corresponding author: Lixin Ran.) Q. Lv, H. Li, D. Ye, J. Huangfu, and L. Ran are with the Laboratory of Applied Research on Electromagnetics, Zhejiang University, Hangzhou 310027, China (e-mail: ranlx@zju.edu.cn).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - Noncontact detection of human vital signs based on miniaturized Doppler radar systems (DRSs) can be widely used in healthcare and biomedical applications. Although significant progresses have been achieved, a reliable wireless vital signs detection in the presence of large-scale random human body movements remains a technical challenge. In this paper, based on a comprehensive use of the high-dynamic-range radar architecture and linearized Doppler phase demodulation algorithms, we further introduce matched filters to retrieve the respiration and heartbeat spectra completely concealed under the wideband noise floor caused by large-scale body movements. Along with an existing 5.8-GHz system, a single-board integrated DRS operating at 24 GHz was designed to verify the effectiveness of the used architecture and algorithms. Experimental results comply with the theoretical expectation. The obtained results imply the potential to implement practical bioradar systems for human noncontact vital signs detections.
AB - Noncontact detection of human vital signs based on miniaturized Doppler radar systems (DRSs) can be widely used in healthcare and biomedical applications. Although significant progresses have been achieved, a reliable wireless vital signs detection in the presence of large-scale random human body movements remains a technical challenge. In this paper, based on a comprehensive use of the high-dynamic-range radar architecture and linearized Doppler phase demodulation algorithms, we further introduce matched filters to retrieve the respiration and heartbeat spectra completely concealed under the wideband noise floor caused by large-scale body movements. Along with an existing 5.8-GHz system, a single-board integrated DRS operating at 24 GHz was designed to verify the effectiveness of the used architecture and algorithms. Experimental results comply with the theoretical expectation. The obtained results imply the potential to implement practical bioradar systems for human noncontact vital signs detections.
KW - Doppler radar
KW - matched filter
KW - polynomial fitting
KW - random body movement (RBM)
KW - vital signs detection
UR - http://www.scopus.com/inward/record.url?scp=85050401371&partnerID=8YFLogxK
U2 - 10.1109/TMTT.2018.2852625
DO - 10.1109/TMTT.2018.2852625
M3 - Article
AN - SCOPUS:85050401371
VL - 66
SP - 4261
EP - 4270
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
SN - 0018-9480
IS - 9
M1 - 8415774
ER -