Non-Contact Calibration-Free Blood Pressure Estimation Method Using Dual Radar

In this paper, a non-contact calibration-free blood pressure (BP) estimation method using dual radar is proposed. 13 features are extracted from the radar-captured chest pulse and wrist pulse, which will be fed into the proposed artificial neural network for the calibration-free blood pressure estimation. A non-contact database containing 27 subjects is established to enhance the robustness of the model. The results of the experiments reveal that the proposed method can perform non-contact estimation accurately and attain grade B for systolic blood pressure (SBP) estimation and almost grade A for diastolic blood pressure (DBP) estimation according to the British Hypertension Society standard.