Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar

Abstract

This study presents an ultra-wideband (UWB) radar solution for contact-free sensing and estimating human vital signs. The proposed solution uses radio frequency (RF) signals to estimate even the tiniest chest movements, including those induced by breathing and the heartbeat. Our algorithm calculates heart rate (HR) and breathing rate (BR) based on signal processing techniques. Our algorithm is validated by comparing its results against the data obtained from a medical-grade wearable sensor. In our study, the correlation between the reference sensor and radar sensor yields 98.2% accuracy in breathing rate estimation. Additionally, we measured the root mean square error (RMSE) between the reference sensor and radar sensor and found it to be 1.36.