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Volume 13
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10.3390/electronics13081471
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Article

Random Body Movement Removal Using Adaptive Motion Artifact Filtering in mmWave Radar-Based Neonatal Heartbeat Sensing

by
Shiguang Yang
1,2,
Xuerui Liang
3,
Xiangwei Dang
4,
Nanyi Jiang
1,2,
Jiasheng Cao
1,2,
Zhiyuan Zeng
1,2 and
Yanlei Li
1,2,*
1
National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
2
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
3
Department of Pediatrics, Peking University Third Hospital, Beijing 100191, China
4
School of Information Science and Technology, North China University of Technology, Beijing 100144, China
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(8), 1471; https://doi.org/10.3390/electronics13081471
Submission received: 1 March 2024 / Revised: 9 April 2024 / Accepted: 11 April 2024 / Published: 12 April 2024
(This article belongs to the Special Issue Microwave and Millimeter-Wave Radar Electronics for Contactless Sensing Applications)
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Abstract

In response to the pressing requirement for prompt and precise heart rate acquisition during neonatal resuscitation, an adaptive motion artifact filter (AMF) is proposed in this study, which is based on the continuous wavelet transform (CWT) approach and takes advantage of the gradual, time-based changes in heart rate. This method is intended to alleviate the pronounced interference induced by random body movement (RBM) on radar detection in neonates. The AMF analyzes the frequency components at different time points in the CWT results. It extracts spectral peaks from each time slice of the frequency spectrum and correlates them with neighboring peaks to identify the existing components in the signal, thereby reducing the impact of RBM and ultimately extracting the heartbeat component. The results demonstrate a reliable estimation of heart rates. In practical clinical settings, we performed measurements on multiple neonatal patients within a hospital environment. The results demonstrate that even with limited data, its accuracy in estimating the resting heart rate of newborns surpasses 97%, and during infant movement, its accuracy exceeds 96%.
Keywords: MIMO mmWave radar; contactless sensing; vital signs; random body movement removal; adaptive motion artifact filtering MIMO mmWave radar; contactless sensing; vital signs; random body movement removal; adaptive motion artifact filtering

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MDPI and ACS Style

Yang, S.; Liang, X.; Dang, X.; Jiang, N.; Cao, J.; Zeng, Z.; Li, Y. Random Body Movement Removal Using Adaptive Motion Artifact Filtering in mmWave Radar-Based Neonatal Heartbeat Sensing. Electronics 2024, 13, 1471. https://doi.org/10.3390/electronics13081471

AMA Style

Yang S, Liang X, Dang X, Jiang N, Cao J, Zeng Z, Li Y. Random Body Movement Removal Using Adaptive Motion Artifact Filtering in mmWave Radar-Based Neonatal Heartbeat Sensing. Electronics. 2024; 13(8):1471. https://doi.org/10.3390/electronics13081471

Chicago/Turabian Style

Yang, Shiguang, Xuerui Liang, Xiangwei Dang, Nanyi Jiang, Jiasheng Cao, Zhiyuan Zeng, and Yanlei Li. 2024. "Random Body Movement Removal Using Adaptive Motion Artifact Filtering in mmWave Radar-Based Neonatal Heartbeat Sensing" Electronics 13, no. 8: 1471. https://doi.org/10.3390/electronics13081471

APA Style

Yang, S., Liang, X., Dang, X., Jiang, N., Cao, J., Zeng, Z., & Li, Y. (2024). Random Body Movement Removal Using Adaptive Motion Artifact Filtering in mmWave Radar-Based Neonatal Heartbeat Sensing. Electronics, 13(8), 1471. https://doi.org/10.3390/electronics13081471

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