Motion-Robust Contactless Heartbeat Sensing Using 4-D Imaging Radar

被引：8

作者：

Li, Zhi ^{[1
,2
]}

Jin, Tian ^{[1
]}

Dai, Yongpeng ^{[1
]}

Song, Yongping ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Elect Sci & Technol, Changsha 410073, Peoples R China

[2] Army Engn Univ PLA, Coll Commun NCO, Nanjing 210007, Peoples R China

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2023年 / 72卷

基金：

中国国家自然科学基金;

关键词：

4-D radar; contactless vital sign sensing; joint blind source separation (JBSS); motion-robust; multiset canonical correlation analysis (MCCA); multiview; BODY MOVEMENT CANCELLATION; VITAL SIGNS; PERFORMANCE; SYSTEM;

D O I：

10.1109/TIM.2023.3312477

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In ambient-assisted living, in-cabin sensing, search and rescue, and public security, radar-based wireless technology has been proven effective in sensing respiration and heartbeat signals. However, existing research mainly focuses on stationary human subjects while body movements are inevitable in real applications. To robustly sense the heartbeat signal during body movement, we propose a motion-robust heartbeat sensing method based on joint blind source separation (JBSS) exploiting a 4-D imaging radar. This method combines physical model and data knowledge by exploring multiview measurements of asymmetric movements in the 4-D radar image sequence. Various kinds of body movements including swaying and random body movements (RBMs) are verified in real-scene experiments. The experimental evaluation demonstrated that the heartbeat signal can be extracted with a heart rate (HR) accuracy of 92.2%.

引用

页数：10

共 48 条

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