ECG Signal Reconstruction Using FMCW Radar and a Convolutional Neural Network for Contactless Vital-Sign Sensing
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Yokohama National University
2. Murata Manufacturing Co., Ltd.
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E106.B/1/E106.B_2022EBP3005/_pdf
Reference24 articles.
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3. [3] X. Tian, Q. Zhu, Y. Li, and M. Wu, “Cross-domain joint dictionary learning for ECG reconstruction from PPG,” Proc. IEEE International Conf. Acoustics, Speech and Signal Processing, pp.936-940, May 2020. DOI: 10.1109/ICASSP40776.2020.9054242 10.1109/icassp40776.2020.9054242
4. [4] V.L. Petrović, M.M. Janković, A.V. Lupšić, V.R. Mihajlović and J.S. Popović-Božović, “High-accuracy real-time monitoring of heart rate variability using 24GHz continuous-wave Doppler radar,” IEEE Access, vol.7, pp.74721-74733, June 2019. DOI: 10.1109/ACCESS.2019.2921240 10.1109/access.2019.2921240
5. [5] T. Sakamoto, S. Mitani, and T. Sato, “Noncontact monitoring of heartbeat and movements during sleep using a pair of millimeter-wave ultra-wideband radar systems,” IEICE Trans. Commun., vol.E104-B, no.4, pp.463-471, April 2021. DOI: 10.1587/transcom.2020EBP3078 10.1587/transcom.2020ebp3078
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