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Using FMCW Millimeter-Wave Radar to Realize the Detection of Vital Signs

This paper proposes a novel method to extract the respiratory and heartbeat movement of a static human body using a frequency modulated continuous wave (FMCW) millimeter-wave radar. the radar echoes reflected from the human chest surface, are used to extract the original time-varying phase signal, which contains the information of the respiratory and heartbeat micro-movements of the human chest. The phase difference signal is obtained by subtracting two consecutive frames of the phase signal. The phase difference signal is filtered processed in multiple stages to eliminate glitch noise interference, and then the Gaussian weighted filter and the ellipse filter are used to separate the respiratory signal and heartbeat signal, respectively. Finally, the respiratory rate and heart rate are extracted through a time-domain peak-searching algorithm. Experimental results show that the proposed method can well represent the chest movement mainly caused by breathing, and obtain more realistic respiratory and heartbeat waveforms to achieve more accurate rate detection.