Abstract
The detection of vital signs by the ultra-wideband (UWB) radar sensor does not require touching the body. The UWB radar sensor has shorter detection time and less radiation than X-rays. Considering that heartbeat signals and respiratory signals are non-stationary, this paper uses the empirical mode decomposition (EMD) algorithm and the variational mode decomposition (VMD) algorithm to process them. Both respiratory and heartbeat characteristics are obtained with non-contact detection in the paper. The Hilbert transform of vital signs is conducted to reflect the time–frequency information of vital signs. Experimental results show that a highly accurate detection of vital signs can be achieved using the proposed methods.
The 8th International Conference on Communications, Signal Processing, and Systems: The research in this paper is ethical and does not affect any human health. We have already informed the experiment content for all participants. The person in Fig. 2 allows her photograph to be used in this paper and agree to publish.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (61671138, 61731006), and was partly supported by the 111 Project No. B17008.
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Duan, Z., Zhang, Y., Zhang, J., Liang, J. (2020). Non-contact Detection of Vital Signs via a UWB Radar Sensor. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_86
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DOI: https://doi.org/10.1007/978-981-13-6504-1_86
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