Millimeter-wave radar vital signs detection based on WSO-VMD algorithm

Jiaxing Guo; Zewang Zhang; Heng Wang; Chenwei Feng; Xuefeng Zhang; Guang Li

doi:10.1117/12.3049625

8 November 2024 Millimeter-wave radar vital signs detection based on WSO-VMD algorithm

Jiaxing Guo, Zewang Zhang, Heng Wang, Chenwei Feng, Xuefeng Zhang, Guang Li

Author Affiliations +

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 1341604 (2024) https://doi.org/10.1117/12.3049625
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

In this paper, a joint algorithm based on variational mode decomposition (VMD) algorithm and White Shark Optimizer (WSO) algorithm is proposed for non-contact vital signs detection. First, the phase information is obtained from the radar echo signal. Then, the respiratory and heartbeat components are separated using a bandpass filter. The separated respiratory component is processed by second-order differencing. At the same time, the heart rate is estimated by decomposing the separated heartbeat component using WSO-VMD. WSO algorithm makes VMD algorithm parameters adaptive, and filters out breathing harmonics from interfering with the heartbeat. Compared with the bandpass filtering method, the VMD method, and the WOA-VMD method, the mean relative error (MRE) is reduced by 3.61%, 2.99%, and 2.38% respectively. Therefore, the method in this paper can improve the detection accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaxing Guo, Zewang Zhang, Heng Wang, Chenwei Feng, Xuefeng Zhang, and Guang Li "Millimeter-wave radar vital signs detection based on WSO-VMD algorithm", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 1341604 (8 November 2024); https://doi.org/10.1117/12.3049625

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