TY - GEN
T1 - Linear-frequency-modulated continuous-wave radar for vital-sign monitoring
AU - Wang, Guochao
AU - Muñoz-Ferreras, José María
AU - Gu, Changzhan
AU - Li, Changzhi
AU - Gómez-García, Roberto
PY - 2014
Y1 - 2014
N2 - The application of radar sensors to monitor vital signs is currently receiving much attention. Several radar architectures have been proposed in the technical literature for this task, although with some limitations. Here, a linear-frequency-modulated continuous-wave (LFMCW) approach is analyzed. By extracting the phase of particular range bins, precise tracking of vital signs (e.g., breathing) could be accomplished, outperforming other approaches. A prototype has been built and some experimental data coming from a sinusoidally-moving metal plate are presented. Also, preliminary results for breathing signals are shown and discussed.
AB - The application of radar sensors to monitor vital signs is currently receiving much attention. Several radar architectures have been proposed in the technical literature for this task, although with some limitations. Here, a linear-frequency-modulated continuous-wave (LFMCW) approach is analyzed. By extracting the phase of particular range bins, precise tracking of vital signs (e.g., breathing) could be accomplished, outperforming other approaches. A prototype has been built and some experimental data coming from a sinusoidally-moving metal plate are presented. Also, preliminary results for breathing signals are shown and discussed.
KW - Continuous-wave radar
KW - linear-frequency-modulated radar
KW - vital-sign monitoring
UR - http://www.scopus.com/inward/record.url?scp=84903603268&partnerID=8YFLogxK
U2 - 10.1109/WiSNet.2014.6825496
DO - 10.1109/WiSNet.2014.6825496
M3 - Conference contribution
AN - SCOPUS:84903603268
SN - 9781479923007
T3 - WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks
SP - 37
EP - 39
BT - WiSNet 2014 - Proceedings
PB - IEEE Computer Society
T2 - 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014
Y2 - 19 January 2014 through 22 January 2014
ER -