A new wavelet based algorithm for estimating respiratory motion rate using UWB radar

M. Baboli, S. Ghorashi, N. Saniei, A. Ahmadian
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引用次数: 33

Abstract

UWB signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this paper a novel approach to estimate periodic motion rates, using Ultra Wide Band (UWB) signals is proposed. The proposed algorithm which is based on wavelet transform is used as a non-contact tool for measurement of respiration motion rate. Compared with traditional contact measurement devices, experimental results utilizing a 3.2 GHz bandwidth transceiver, demonstrate 99% similar results. The standard deviation of the proposed algorithm for 30 independent experiments has obtained 19% for respiration motion.
一种基于小波的超宽带雷达呼吸运动速率估计新算法
超宽带信号以其具有窄脉冲宽度的特殊优势而受到人们的青睐,这使得超宽带信号适用于生命信号的遥感。提出了一种利用超宽带(UWB)信号估计周期运动速率的新方法。提出了一种基于小波变换的非接触式呼吸运动速率测量方法。与传统的接触式测量装置相比,利用3.2 GHz带宽收发器的实验结果相似度达到99%。在30个独立实验中,该算法的呼吸运动标准差为19%。
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