TY - GEN
T1 - Non-contact Vital Sign Monitoring Using Universal Software Radio Peripheral
AU - Xu, Shengxin
AU - Liu, Heng
AU - Gao, Fei
AU - Wang, Zhenghuan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - W215 vital sign detection is a promising technique, which allow users to non-invasively detect the respiration of the target through capturing the variation of wireless signals. In particular, respiration detection using received signal strength (RSS) variation has gained more attention since RSS is available in most commercial off-the-shelf (COTS) products, which can remarkably reduce the cost of the system. However, the resolution of RSS measurement provided by those equipment is usually larger than 0.1dB, which is unable to perform reliable respiration detection, especially when the chest wall movement of the target is weak. In this paper, we implement respiration detection system on the universal software radio peripheral (USRP) devices, which can provide more accurate RSS measurement. We use a pair of USRPs where one transmits wireless signals while the other receives the signals and measures the RSS. The experiment results verify that the detection platform can capture the RSS variation smaller than 0.1dB and accurately estimate the respiration rate.
AB - W215 vital sign detection is a promising technique, which allow users to non-invasively detect the respiration of the target through capturing the variation of wireless signals. In particular, respiration detection using received signal strength (RSS) variation has gained more attention since RSS is available in most commercial off-the-shelf (COTS) products, which can remarkably reduce the cost of the system. However, the resolution of RSS measurement provided by those equipment is usually larger than 0.1dB, which is unable to perform reliable respiration detection, especially when the chest wall movement of the target is weak. In this paper, we implement respiration detection system on the universal software radio peripheral (USRP) devices, which can provide more accurate RSS measurement. We use a pair of USRPs where one transmits wireless signals while the other receives the signals and measures the RSS. The experiment results verify that the detection platform can capture the RSS variation smaller than 0.1dB and accurately estimate the respiration rate.
KW - respiration monitoring
KW - RSS
KW - USRP
KW - Vital sign detection
UR - http://www.scopus.com/inward/record.url?scp=85055687964&partnerID=8YFLogxK
U2 - 10.1109/IMCEC.2018.8469289
DO - 10.1109/IMCEC.2018.8469289
M3 - Conference contribution
AN - SCOPUS:85055687964
T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
SP - 728
EP - 731
BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Y2 - 25 May 2018 through 27 May 2018
ER -