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

doi:10.7523/j.issn.2095-6134.2021.05.011

Abstract

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

CLC Number:

TN959

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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