基于PE的MEEMD筛选的LFMCW雷达心率估计算法

doi:10.7523/j.issn.2095-6134.2021.05.011

中国科学院大学学报 ›› 2021, Vol. 38 ›› Issue (5): 666-677.DOI: 10.7523/j.issn.2095-6134.2021.05.011

基于PE的MEEMD筛选的LFMCW雷达心率估计算法

廖洪海^1,2, 何为¹, 林水洋^1,3

1. 中国科学院上海微系统与信息技术研究所, 上海 200050;
2. 中国科学院大学, 北京 100049;
3. 隔空智能科技有限公司, 上海 200050

收稿日期:2019-12-20 修回日期:2020-04-23 发布日期:2021-09-13
通讯作者: 廖洪海
基金资助:
中国科学院重点部署项目（KFZD-SW-437）资助

Heart rate evaluation algorithm based on PE-based MEEMD filter in LFMCW radar

LIAO Honghai^1,2, HE Wei¹, LIN Shuiyang^1,3

1. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Airtouch Intelligent Technology Company Limited, Shanghai 200050, China

Received:2019-12-20 Revised:2020-04-23 Published:2021-09-13

摘要/Abstract

摘要： 针对现有的基于快速傅里叶变换（fast Fourier transform，FFT）和Levenberg-Marquardt（LM）拟合等算法在心率估计中存在稳定性差、精准度低等现状，在分析77 GHz线性调频连续波雷达信号特征的基础上提出一种改进型的心率估计算法。首先，该算法通过速度-距离谱图识别被测人体，通过仿真实验获得心跳区间50~120次/min对应的排列熵（permutation entropy，PE）区间为[0.31，0.44]。然后，提出PE心跳信号区间筛选方法消除微运动信号中的干扰和噪声。通过峰值检测算法实现心率的精准估计。最后邀请30位志愿者进行实验，并从稳定性、准确性和估计误差3方面分别对本文提出的算法、FFT算法和LM拟合算法进行评估和比较。实验表明本文提出的算法的稳定性和估计误差的综合评估指标最优，准确率为98.30%。

关键词: MEEMD滤波器, LFMCW毫米波雷达, 排列熵, 心率估计

Abstract: Aiming to the existing problem that the poor stability and the low accuracy of FFT-based algorithm and Levenberg-Marquardt (LM) fitting algorithm in the heart rate evaluation, this paper proposes an improved heart rate estimation algorithm after analyzing the characteristics of the 77 GHz linear frequency modulated continuous wave (LFMCW) radar.Firstly, the algorithm recognizes the human body through the velocity-distance spectrum and obtains an permutation entropy (PE) interval[0.31,0.44] corresponding to the heartbeat interval of 50-120 beats/min through simulation experiments.Then, this paper proposes a PE heartbeat signal interval screening method to eliminate interference and noise in micro motion signals. Accurate evaluation of heart rate can be realized through peak detection algorithm. Finally, this paper invited 30 volunteers to conduct experiments, and evaluated and compared the algorithm proposed in this paper, FFT algorithm, and LM fitting algorithm from the aspects of stability, accuracy, and estimation error. Experiments show that the comprehensive evaluation indicator of the stability and estimation error of the algorithm proposed in this paper is the best with an accuracy of 98.30%.

Key words: MEEMD filter, LFMCW millimeter wave radar, permutation entropy, heart rate evaluation

中图分类号:

TN959

廖洪海, 何为, 林水洋. 基于PE的MEEMD筛选的LFMCW雷达心率估计算法[J]. 中国科学院大学学报, 2021, 38(5): 666-677.

LIAO Honghai, HE Wei, LIN Shuiyang. Heart rate evaluation algorithm based on PE-based MEEMD filter in LFMCW radar[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 666-677.

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基于PE的MEEMD筛选的LFMCW雷达心率估计算法

Heart rate evaluation algorithm based on PE-based MEEMD filter in LFMCW radar

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