On the estimation of respiration and heart rates via an IR-UWB radar: An algorithmic perspective
On the estimation of respiration and heart rates via an IR-UWB radar: An algorithmic perspective
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通过 IR-UWB 雷达估计呼吸和心率：算法视角
DOI：
10.1109/comcas.2017.8244781
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Albert Di Rienzo
中科院分区：
文献类型：
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作者：
Raghed El;Dhaval Malaviya;Albert Di Rienzo
在本文中，脉冲无线电超宽带（IR-UWB）雷达被用来连续监测一个休息的主题的呼吸和心率在一个无创的方式，以观察相应的健康状况。这两个心肺生命体征是基于对由IR-UWB雷达收集的记录波形的处理来推断的，所述记录波形在从休息的受试者的身体反射之后。提出了一种新的算法，处理记录的波形，以提取这些生命体征的信号，并相应地，估计其速率。该算法由三个主要部分组成：i）降噪，ii）呼吸率提取，以及iii）心率提取。此外，该算法解决了呼吸和心跳信号之间的谐波和互调的影响，而不需要实施滤波器。给定一个字母表的数据集，收集多个主题，数值结果证实了所提出的算法的准确性。
In this paper, an impulse radio ultra-wideband (IR-UWB) radar is used to continuously monitor a resting subject's respiration and heart rates in a noninvasive fashion in order to observe the corresponding health status. These two cardiopulmonary vital signs are inferred based on the processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the resting subject's body. A novel algorithm that processes the recorded waveforms is proposed to extract these vitals' signals and, accordingly, estimate their rates. This algorithm is comprised of three major parts: i) noise reduction, ii) respiration rate extraction, and iii) heart rate extraction. Furthermore, the algorithm addresses the effects of harmonics and intermodulation between the breathing and heartbeat signals without requiring the implementation of filters. Given an alphabet of datasets that are collected on multiple subjects, numerical results are presented to corroborate the proposed algorithm's accuracy.