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基于多序列WOA-VMD算法的超宽带雷达心率检测

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针对呼吸信号强干扰下心跳信号能量微弱难于准确提取的问题,提出了一种基于多序列WOA-VMD算法的超宽带雷达心率检测方法.首先,根据接收信号方差来确定目标范围,构建多序列生命体征向量,缩短观测时间.然后,融合鲸鱼算法(Whale Optimization Algorithm,WOA)和变分模态分解算法(Variational Mode Decomposition,VMD)来优化参数,准确分离出心跳信号.最后,利用超宽带雷达收集了8名志愿者在不同距离处的回波雷达信号,进行实验.与传统算法相比,所提算法能够抑制呼吸干扰,平均误差比最低仅为1.36%,测量精度较高.
Heart Rate Detection Based on Multi-Sequence WOA-VMD Algorithm Using UWB Radar
To solve the problem that the heartbeat signal has low energy and is difficult to be extracted accurately under the strong inter-ference of respiration signal,a heart rate monitoring method based on multi-sequence WOA-VMD algorithm is proposed.Firstly,the tar-get range is determined based on the variance of the received signals.The multi-sequence vital signs vector is constructed to shorten the observation time.Subsequently,the WOA algorithm and the VMD algorithm are combined to optimize the parameters and extract heart-beat signal accurately.Eventually,the echo radar signals of 8 volunteers at different distances are collected by using ultra-wideband ra-dar for experiments.As a result,the proposed method can suppress respiratory interference and achieve higher accuracy with the lowest average error ratio of 1.36%.

UWB radarparameter optimizationvariational modal decompositionheart rate detection

弭晴、马永涛、黄祉同

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天津大学微电子学院,天津300072

超宽带雷达 参数优化 变分模态分解 心率检测

天津市自然科学基金

20JCYBJC00860

2024

传感技术学报
东南大学 中国微米纳米技术学会

传感技术学报

CSTPCD北大核心
影响因子:1.276
ISSN:1004-1699
年,卷(期):2024.37(7)