Remote radar-camera vital sign monitoring system using a graph-based extraction algorithm

Yang, Xingyu ORCID: 0000-0003-2871-8025, Zhang, Zijian ORCID: 0000-0002-3004-6697, Li, Xinhua, Zheng, Yalin ORCID: 0000-0002-7873-0922 and Shen, Yaochun ORCID: 0000-0002-8915-1993 (2021) Remote radar-camera vital sign monitoring system using a graph-based extraction algorithm In: 2021 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), 2021-8-29 - 2021-9-3.

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Abstract

Mm-wave radar and video-based technologies have shown potentials for contactless detection of vital signs. However, state-of-the-art signal processing based vital sign extraction methods are prone to disruptions, such as motion corruption. In this work, we propose a novel graph-based segmentation algorithm for improved accuracy and robustness. We also developed a combined radar-camera system to integrate with the proposed algorithm. The test results on both mmWave radar and camera systems were found to be of high correlations (0.95-0.97) with the golden standard. Our system provides a viable and robust approach for the increasingly popular remote cardiovascular sensing and diagnosing posed by Covid-19.

Item Type:	Conference Item (Unspecified)
Uncontrolled Keywords:	40 Engineering, 46 Information and Computing Sciences, 4006 Communications Engineering, 4603 Computer Vision and Multimedia Computation, 4605 Data Management and Data Science, Cardiovascular, Networking and Information Technology R&D (NITRD), Cardiovascular
Divisions:	Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	07 Mar 2022 09:08
Last Modified:	16 Jan 2026 07:49
DOI:	10.1109/IRMMW-THz50926.2021.9566987
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3150175
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