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

Ayaz, F., Hussain, S. , Ahmad, W. , Kawsar, F., Imran, M. A. and Zoha, A. (2022) Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970856)

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zoha, Dr Ahmed and Kawsar, Professor Fahim and Imran, Professor Muhammad and Ahmad, Dr Wasim and Hussain, Dr Sajjad and Ayaz, Fahad
• Authors: Ayaz, F., Hussain, S., Ahmad, W., Kawsar, F., Imran, M. A., and Zoha, A.
• College/School: College of Science and Engineering > School of Computing Science; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9781665488235
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy