Non-Contact Heart Rate Monitoring Based on Millimeter Wave Radar

• Published in: IEEE access Vol. 10; pp. 74033 - 74044
• Main Authors: Ling, Zongquan, Zhou, Weinan, Ren, Yuhao, Wang, Jiping, Guo, Liquan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; ANF; Continuous radiation; Estimation; EWT; FMCW radar; Harmonic analysis; Harmonics; Heart beat; Heart rate; heart rate estimation; Millimeter waves; Monitoring; Noise reduction; Notch filters; Power harmonic filters; Radar; Respiration; Signal to noise ratio; the relationship of harmonics; the weighted estimation; Wavelet transforms
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3190355

Millimeter Wave(mmWave) radar has been widely used in vital sign monitoring with non-contact and privacy protection. To reduce the effect of random body motion, respiration, and its harmonics on heart rate estimation, the heart rate monitoring based on frequency-modulated continuous-wave (FMCW) radar is researched in this paper. First, a vital sign signal extraction algorithm is designed for the Range Bin variation caused by random body motion and heavy breathing. Second, a heartbeat signal extraction algorithm is designed based on Adaptive Notch Filter (ANF) and Empirical Wavelet Transform (EWT). The harmonic of respiration will be suppressed, and the heartbeat signal will be separated. Finally, the weighted estimation is performed according to the relationship of harmonics of the heartbeat signal to obtain the heart rate. Twenty subjects are invited to the experiment. The experimental results show that the proposed method can improve the signal-to-noise ratio (SNR), reduce the harmonic interference, and estimate the heart rate with a mean absolute error less than 4 BPM.