Doppler Vital Signs Detection in the Presence of Large-Scale Random Body Movements
Doppler Vital Signs Detection in the Presence of Large-Scale Random Body Movements
复制标题
存在大规模随机身体运动时的多普勒生命体征检测
DOI：
10.1109/tmtt.2018.2852625
复制
发表时间：
2018-09-01
影响因子：
4.3
通讯作者：
Ran, Lixin
中科院分区：
文献类型：
--
作者：
Lv, Qinyi;Chen, Lei;Ran, Lixin
基于小型化多普勒雷达系统（DRS）的人体生命体征非接触检测可以广泛应用于医疗保健和生物医学应用。虽然已经取得了重大进展，但在存在大规模随机人体运动的情况下可靠的无线生命体征检测仍然是一个技术挑战。在本文中，综合使用的高动态范围的雷达架构和线性化多普勒相位解调算法的基础上，我们进一步引入匹配滤波器，以恢复呼吸和心跳频谱完全隐藏在宽带噪声下所造成的大规模的身体运动。沿着一个现有的5.8 GHz系统，单板集成DRS工作在24 GHz的设计，以验证所使用的架构和算法的有效性。实验结果符合理论预期。所获得的结果意味着潜在的实现实用的生物雷达系统的人类非接触的生命体征检测。
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.