Research on vital sign information extraction and localization algorithm based on WA-EMD ultra-wideband radar

Lifeng Sun; Qingjie Qi; Jiamei Chai; Youxin Zhao

doi:10.1117/12.2640269

9 May 2022 Research on vital sign information extraction and localization algorithm based on WA-EMD ultra-wideband radar

Lifeng Sun, Qingjie Qi, Jiamei Chai, Youxin Zhao

Author Affiliations +

Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 122520B (2022) https://doi.org/10.1117/12.2640269
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China

Abstract

In order to effectively identify the respiration and heartbeat information from the radar echo signal, reduce the positioning error, and improve the detection accuracy of the ultra-wideband radar life detector. The WA-EMD denoising and reconstruction algorithm is proposed, and the peak-to-peak value, variance, standard deviation and distance error of the PE method are compared and analyzed. The results show that the WA-EMD algorithm can effectively separate the respiration and heartbeat from the preprocessed signal. The detection target error of the PE method is determined to be less than 5%, which verifies the feasibility of the detection distance of the PE algorithm.

Citation Download Citation

Lifeng Sun, Qingjie Qi, Jiamei Chai, and Youxin Zhao "Research on vital sign information extraction and localization algorithm based on WA-EMD ultra-wideband radar", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 122520B (9 May 2022); https://doi.org/10.1117/12.2640269

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