Non-contact Vital Sign Monitoring Using Universal Software Radio Peripheral

Abstract

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.