A 24-GHz single-board integrated Doppler radar system using matched filters successfully retrieved respiration and heartbeat spectra concealed by large-scale random body movements.
The proposed Doppler radar system architecture and algorithms successfully detect human vital signs even in the presence of large-scale random body movements.
Noncontact detection of human vital signs based on miniaturized Doppler radar systems (DRSs) can be widely used in healthcare and biomedical applications. Although significant progresses have been achieved, a reliable wireless vital signs detection in the presence of large-scale random human body movements remains a technical challenge. In this paper, based on a comprehensive use of the high-dynamic-range radar architecture and linearized Doppler phase demodulation algorithms, we further introduce matched filters to retrieve the respiration and heartbeat spectra completely concealed under the wideband noise floor caused by large-scale body movements. Along with an existing 5.8-GHz system, a single-board integrated DRS operating at 24 GHz was designed to verify the effectiveness of the used architecture and algorithms. Experimental results comply with the theoretical expectation. The obtained results imply the potential to implement practical bioradar systems for human noncontact vital signs detections.
Lv et al. (Thu,) conducted a other in Vital signs detection during large-scale random body movements. High-dynamic-range radar architecture with linearized Doppler phase demodulation and matched filters was evaluated on Retrieval of respiration and heartbeat spectra. A 24-GHz single-board integrated Doppler radar system using matched filters successfully retrieved respiration and heartbeat spectra concealed by large-scale random body movements.