@article{xia_Wang_Li_Xu_2022, title={Research and Design of Radar System for Respiratory and Heartbeat Signal Detection}, volume={37}, url={https://journals.riverpublishers.com/index.php/ACES/article/view/12491}, DOI={10.13052/2022.ACES.J.370112}, abstractNote={<p>The respiratory and heartbeat signals can accurately reflect the health status of the tester, which is of great clinical significance. Compared with the traditional contact detection method, the non-contact radar detection method does not require the tester to wear any sensor equipment and will not cause any discomfort to the tester. The frequency modulated continuous wave (FMCW) radar has the characteristics of simple structure, high resolution, strong stability, and low transmission power and is used for the detection of respiratory and heartbeat signals. This paper designs a low-power, low-cost respiratory, and heartbeat signal detection system based on FMCW radar. In addition, the variational modal decomposition (VMD) method is used to separate respiration and heartbeat signals to obtain accurate respiration and heartbeat rates. The results show that the radar system for detecting respiratory and heartbeat signals has high detection accuracy.</p>}, number={1}, journal={The Applied Computational Electromagnetics Society Journal (ACES)}, author={xia, ziliang and Wang, Xinhuai and Li, Xin and Xu, Yin}, year={2022}, month={May}, pages={102–108} }