Vital signs detection signal processing algorithm based on MIMO radar
Xianguo Zhang, Zengchao Liu, Mengbin Wang, Chunchen Dong · 2025
Vital signs detection equipment can track and monitor the health status of individuals, and plays an important role in the monitoring of personal health. However, there are respiratory harmonics and static clutter in heartbeat signals extracted by non-contact detection methods based on millimeter-wave radar. Therefore, this paper studies the related de-noising algorithm for the heartbeat signal collected by FMCW radar in MIMO operating mode. Firstly, a CUSUM outlier detection algorithm based on double-sided sliding window is proposed in the face of noise caused by body fretting. Secondly, in order to solve the problem of weak heartbeat signal strength, the global K-means filtering algorithm is adopted to achieve the dimensionality reduction and reconstruction of heartbeat signals, improve the perception of radar heartbeat signals, and extract heartbeat components from RCG signals by using COA-VMD algorithm to suppress respiratory harmonics. Finally, the heart rate of ECG signals is estimated by PT algorithm and compared with the RCG heart rate obtained by this method. The experimental results show that the coincidence rate of the two heart rates can reach 97.37%.