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首页> 外文期刊>IEEE Transactions on Microwave Theory and Techniques >Doppler Vital Signs Detection in the Presence of Large-Scale Random Body Movements
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Doppler Vital Signs Detection in the Presence of Large-Scale Random Body Movements

机译:存在大规模随机身体运动时的多普勒生命体征检测

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摘要

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.
机译:基于小型化多普勒雷达系统(DRS)的人体生命体征非接触式检测可广泛应用于医疗保健和生物医学应用。尽管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进行可靠的无线生命体征检测仍然是一项技术挑战。本文在综合运用高动态范围雷达架构和线性化多普勒相位解调算法的基础上,进一步引入匹配滤波器,以反演大规模身体运动引起的宽带本底噪声下完全隐藏的呼吸和心跳光谱。除了现有的 5.8 GHz 系统外,还设计了一个工作频率为 24 GHz 的单板集成 DRS,以验证所用架构和算法的有效性。实验结果符合理论预期。获得的结果意味着有可能实现用于人体非接触式生命体征检测的实用生物雷达系统。

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