RadarNet: Non-contact ECG signal measurement based on FMCW radar

Continuous monitoring of electrocardiogram (ECG) signals plays an important role in the prevention and diagnosis of cardiovascular diseases. Conventional ECG signal measurement requires skin-contact electrodes, which are unfriendly to skin-sensitive, burn patients and infants. In this paper, we propose a non-contact ECG signal measurement method based on Frequency Modulated Continuous Wave (FMCW) radar, facilitated by a signal amplification network named RadarNet. Firstly, a multi-domain joint modulation micromotion signal disentanglement module (MSDM) is introduced to extract cardiac mechanical motion (CMM) signal from complex radar waveforms. Then, a signal reconstruction network RadarNet based on time-frequency domain transformation is proposed to learn the nonlinear relationship between CMM and ECG signal. Finally, the first annotated dataset with synchronized FMCW radar-physiological signal RadarPhys-30 is established, which contains 30 subjects in two physiological states (sitting and lying down). Experimental results on the RadarPhys-30 dataset demonstrate that the mean average error (MAE) and the root mean square error (RMSE) of the heart rate (HR) estimated from the reconstructed ECG signal are less than 0.20 beats per minute (bpm) and 0.53 bpm in the sitting state, and 0.15 bpm and 0.46 bpm in the lying down state, respectively. These results indicate that the proposed method achieves accurate non-contact ECG signal monitoring. Copyright © 2024 IEEE.