谐波路径(HAPA)算法用于红外超宽带雷达非接触式生命体征监测

Van Nguyen, A. Q. Javaid, M. A. Weitnauer
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引用次数: 38

摘要

介绍了谐波路径(HAPA)算法,用于脉冲无线电超宽带(IR-UWB)雷达估计心率(HR)和呼吸速率(RR)。一个众所周知的结果是,周期性运动,如肺壁或心壁运动,会引起基频及其谐波。IR-UWB可以捕获这些频谱成分,而频域处理可以实现低成本的实现。大多数现有方法试图确定基本成分来估计HR和/或RR。然而,基波常常被干扰所扭曲或抵消,例如对HR基波的RR谐波干扰,导致HR估计误差很大。HAPA是第一个利用干扰较少的HR谐波来实现更可靠和鲁棒的基频估计的算法。HR估计的实例实验结果表明,该算法能够消除干扰引起的误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harmonic Path (HAPA) algorithm for non-contact vital signs monitoring with IR-UWB radar
We introduce the Harmonic Path (HAPA) algorithm for estimation of heart rate (HR) and respiration rate (RR) with Impulse Radio Ultrawideband (IR-UWB) radar. A well known result is that a periodic movement, such as the lung wall or heart wall movement, induces a fundamental frequency and its harmonics. IR-UWB enables capture of these spectral components and frequency domain processing enables a low cost implementation. Most existing methods try to identify the fundamental component to estimate the HR and/or RR. However, often the fundamental is distorted or cancelled by interference, such as RR harmonics interference on the HR fundamental, leading to significant error for HR estimation. HAPA is the first reported algorithm to take advantage of the HR harmonics, where there is less interference, to achieve more reliable and robust estimation of the fundamental frequency. Example experimental results for HR estimation demonstrate how our algorithm eliminates errors caused by interference.
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