Robust Radar-Based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections

In this letter, we propose a noncontact vital sign monitoring algorithm based on 60-GHz frequency modulated continuous wave (FMCW) radar. At the heart of the algorithm is a bank of sinc filters covering the heart and respiratory frequencies of an healthy adult. The filter bank is adapted, in successive iterations, to the specific cardiorespiratory frequencies of the monitored subject. The adaptability of the algorithm ensures an accurate estimate of heart rate (HR) and respiratory rate (RR) for a subject sitting in front of the radar at a distance between 0.3 to 1.1 m while being robust to minor body movements and harmonics. The efficiency of the solution is demonstrated on an experimental dataset including recordings of ten subjects, where we obtain an root mean square error (RMSE) of 6.16 bpm for HR and 2.09 rpm for RR.