Yang, Xingyu, 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 or Workshop Item (Unspecified) |
|---|---|
| Uncontrolled Keywords: | Cardiovascular |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 07 Mar 2022 09:08 |
| Last Modified: | 15 Mar 2024 10:42 |
| DOI: | 10.1109/IRMMW-THz50926.2021.9566987 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3150175 |
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