Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 5; p. 1774
• Main Authors: Rong, Yu, Dutta, Arindam, Chiriyath, Alex, Bliss, Daniel W.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 04.03.2021; MDPI AG
• Subjects: Algorithms; Heart Rate; Humans; Monitoring, Physiologic; Motion; privacy preserving; Radar; random body movement cancellation; Respiration; Signal Processing, Computer-Assisted; UWB; vital signs; UWB; radar; vital signs; random body movement cancellation; privacy preserving
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s21051774

Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few decades ago. However, investigation regarding the robustness of radar-based vital-sign monitoring (VSM) is not available in the current radar literature. In this paper, we aim to close this gap by presenting an extensive experimental study of vital-sign radar approach. We consider diversity in test subjects, fitness levels, poses/postures, and, more importantly, random body movement (RBM) in the study. We discuss some new insights that lead to robust radar heart-rate (HR) measurements. A novel active motion cancellation signal-processing technique is introduced, exploiting dual ultra-wideband (UWB) radar system for motion-tolerant HR measurements. Additionally, we propose a spectral pruning routine to enhance HR estimation performance. We validate the proposed method theoretically and experimentally. Totally, we record and analyze about 3500 seconds of radar measurements from multiple human subjects.