Non-Contact Heart Rate Monitoring Based on Millimeter Wave Radar

Zongquan Ling; Weinan Zhou; Yuhao Ren; Jiping Wang; Liquan Guo

doi:10.1109/ACCESS.2022.3190355

IEEE Access (Jan 2022)

Non-Contact Heart Rate Monitoring Based on Millimeter Wave Radar

Zongquan Ling,
Weinan Zhou,
Yuhao Ren,
Jiping Wang,
Liquan Guo

Affiliations

Zongquan Ling: ORCiD; Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China
Weinan Zhou: Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China
Yuhao Ren: ORCiD; Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China
Jiping Wang: ORCiD; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
Liquan Guo: Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China

DOI: https://doi.org/10.1109/ACCESS.2022.3190355
Journal volume & issue: Vol. 10
pp. 74033 – 74044

Abstract

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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.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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