VMD融合EWT对复杂环境中生命体征的探测方法

By fusing VMD with EWT, the problems of accurate positioning of vital signs and low signal-to-noise ratio in complex environments are solved. High-precision vital sign detection is achieved in the presence of obstacles and pedestrians, enhancing signal quality and suppressing noise interference, while ensuring privacy protection.

CN117169846BActive Publication Date: 2026-07-17TAIYUAN UNIVERSITY OF TECHNOLOGY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TAIYUAN UNIVERSITY OF TECHNOLOGY
Filing Date
2023-09-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately locate vital signs in complex environments (with obstacles, pedestrians passing by), the signal-to-noise ratio of heartbeat and breathing signals is not high, and there are privacy issues.

Method used

The method employs variational mode decomposition (VMD) fused with empirical wavelet transform (EWT) to acquire echo signals from ultra-wideband radar, construct echo energy contour projection maps, extract features using principal component analysis, adaptively reconstruct respiratory and heartbeat signals, and obtain high signal-to-noise ratio signals by segmenting the spectrum using empirical wavelet transform.

Benefits of technology

It improves the accuracy of vital sign location in complex environments, enhances signal quality, suppresses environmental noise interference, and ensures signal reliability and privacy.

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Abstract

本发明涉及雷达探测技术领域,现有的雷达探测声明体征信号都是基于实验中的理想环境,并不适用于实际复杂环境的生命探测,本发明提供一种VMD融合EWT对复杂环境中生命体征的探测方法,构造回波能量等高线投影图,选取能量分布数列进行特征提取,利用变分模态分解VMD生命混合信号,并以自适应重构的方式重组呼吸信号和心跳信号,进行经验小波变换,使得获取的生命信号更加清晰准确,根据信噪比获取呼吸和心跳信号,本发明能够在复杂环境中准确地定位生命数据,更精确地确定生命体的位置,本发明能够在存在环境噪声的情况下,更好地抑制噪声对生命信号的干扰,从而提高了生命检测的可靠性和准确性。
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