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http://dx.doi.org/10.5515/KJKIEES.2019.30.5.418

Vital Sign Detection in a Noisy Environment by Undesirable Micro-Motion  

Choi, In-Oh (Department of Electrical Engineering, Pohang University of Science and Technology)
Kim, Min (Department of Electrical Engineering, Pohang University of Science and Technology)
Choi, Jea-Ho (Department of Electrical Engineering, Pohang University of Science and Technology)
Park, Jeong-Ki (Department of Electrical Engineering, Pohang University of Science and Technology)
Kim, Kyung-Tae (Department of Electrical Engineering, Pohang University of Science and Technology)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.5, 2019 , pp. 418-426 More about this Journal
Abstract
Recently, many studies on vital sign detection using a radar sensor related to Internet of Things(IoT) smart home systems have been conducted. Because vital signs such as respiration and cardiac rates generally cause micro-motions in the chest or back, the phase of the received echo signal from a target fluctuates according to the micro-motion. Therefore, vital signs are usually detected via spectral analysis of the phase. However, the probability of false alarms in cardiac rate detection increases as a result of various problems in the measurement environment, such as very weak phase fluctuations caused by the cardiac rate. Therefore, this study analyzes the difficulties of vital sign detection and proposes an efficient vital sign detection algorithm consisting of four main stages: 1) phase decomposition, 2) phase differentiation and filtering, 3) vital sign detection, and 4) reduction of the probability of false alarm. Experimental results using impulse-radio ultra-wideband radar show that the proposed algorithm is very efficient in terms of computation and accuracy.
Keywords
Respiration Rate; Cardiac Rate; Phase Fluctuation; Phase Decomposition; Probability of False Alarm;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 F. Adib, H. Mao, Z. Kabelac, D. Katabi, and R. C. Miller, "Smart homes that monitor breathing and heart rate," in CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, Apr. 2015, pp. 837-846.
2 J. H. Lee, K. B. Kim, and S. O. Park, "Doppler radar system for long range detection of respiration and heart rate," Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 25, no. 4, pp. 418-425, Apr. 2014.   DOI
3 I. C. Ko, H. C. Park, "Apnea detection and respiration rate estimation using IR-UWB radar signals," Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 28, no. 10, pp. 802-809, Oct. 2017.   DOI
4 M. H. Seo, B. S. Lee, "Detection of heartbeat and respiration using a modified signal model in the CW bioradar," Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 19, no. 11, pp. 1204-1212, Nov. 2008.   DOI
5 Q. Lv, D. Ye, S. Qiao, Y. Salamin, J. Huangfu, C. Li, and L. Ran, "High dynamic-range motion imaging based on linearized Doppler radar sensor," IEEE Transactions on Microwave Theory and Techniques, vol. 62, no. 9, pp. 1837-1846, Sep. 2014.   DOI
6 E. Schires, P. Georgiou, and T. S. Lande, "Vital sign monitoring through the back using an UWB impulse radar with body coupled antennas," IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no. 2, pp. 292-302, Apr. 2018.   DOI
7 S. S. Myoung, Y. J. An, J. H. Moon, B. J. Jang, and J. G. Yook, "Novel 10 GHz bio-radar system based on frequency multiplier and phase-locked loop," Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 21, no. 2, pp. 208-217, Feb. 2010.   DOI
8 K. Y. Ku, Y. Hong, H. J. Lee, G. H. Yum, J. G. Yook, and K. W. Kim, "Vital sign sensor based on second harmonic frequency drift of oscillator," Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 27, no. 3, pp. 299-306, Mar. 2016.   DOI
9 B. Yuan, Z. Chen, and S. Xu, "Micro-Doppler analysis and separation based on complex local mean decomposition for aircraft with fast-rotating parts in ISAR imaging," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 1285-1298, Feb. 2014.   DOI
10 J. Feng, S. Pan, "Extraction algorithm of vital signals based on empirical mode decomposition," Journal of South China University of Technology, vol. 38, no. 10, pp. 1-6, 2010.   DOI
11 C. Ding, J. Yan, L. Zhang, H. Zhao, H. Hong, and X. Zhu, "Noncontact multiple target vital sign detection based on VMD algorithm," in 2017 IEEE Radar Conference(RadarConf), Seattle, WA, May 2017, pp. 727-730.