Non-contact Radar Vital Sign Extraction Technology Based on Improved SSSC-EEMD

Aiming at the problems of weak signals detection difficulty and signal aliasing of vitals in through-wall radar target vitals detection, this paper addresses the challenges in detecting weak vital signs and signal overlapping in through-wall radar life detection. It introduces a novel ultra-wideband...

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Bibliographic Details
Published in:2024 9th Asia Conference on Power and Electrical Engineering (ACPEE) pp. 2216 - 2220
Main Authors: Wang, Xuejiao, Wen, Liang, Li, Hang, Li, Yan
Format: Conference Proceeding
Language:English
Published: IEEE 11.04.2024
Subjects:
Detection algorithms
Electrical engineering
Empirical mode decomposition
Ensemble Empirical Mode Decomposition
Heart beat
Non-contact vital signs detection radar
Radar
Radar detection
Source separation
Vital signs signal separation
Wavelet threshold denoising
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Summary:Aiming at the problems of weak signals detection difficulty and signal aliasing of vitals in through-wall radar target vitals detection, this paper addresses the challenges in detecting weak vital signs and signal overlapping in through-wall radar life detection. It introduces a novel ultra-wideband radar life detection algorithm that integrates Soft Sifting Stopping Criterion-based Ensemble Empirical Mode Decomposition (SSSC-EEMD) with a wavelet threshold algorithm. The validation results, based on real-world data, indicate that this algorithm can rapidly and accurately detect human vital signs through walls, outperforming traditional vital sign detection methods. The reconstructed vital signs signals align more closely with actual conditions, showcasing its effectiveness and suitability in resolving the issue of signal overlapping for through-wall vital sign detection.
DOI:10.1109/ACPEE60788.2024.10532610