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Respiration Rate Measurement Under 1-D Body Motion Using Single Continuous-Wave Doppler Radar Vital Sign Detection System

机译:使用单个连续波多普勒雷达生命体征检测系统测量一维人体运动下的呼吸频率

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摘要

Random body movement (RBM) is one of the most challenging issues in non-contact vital sign detection using Doppler radar technique. The large and irregular displacement of the human body could corrupt the vital sign signal and significantly degrade the accuracy of detection. Even the respiration rate (RR) sometimes cannot be measured accurately under RBM. In this paper, the characteristic of the frequency spectrum of the vital sign signal under body motion (the motion modulation effect) is analyzed. Based on that effect, an RR measurement method under one-dimensional (1-D) body motion is developed using only one non-contact continuous-wave (CW) Doppler radar vital sign detection system. The direction of body motion is extracted along with the new position of the respiration peaks in the frequency spectrum and RR can be calculated. Simulations of the theory using a model of the vital sign detection system are performed, followed by experiments to verify the theory. Experiments are performed on an actuator and a human subject by only one 5.8-GHz non-contact CW vital sign detection system. Under large 1-D body motion that has a displacement 5–10 times larger than the respiratory displacement, the proposed method successfully measures RR with only 7.15% error.
机译:随机身体运动(RBM)是使用多普勒雷达技术进行非接触式生命体征检测中最具挑战性的问题之一。人体的较大且不规则的位移可能会破坏生命体征信号并大大降低检测的准确性。在RBM下,有时甚至无法准确测量呼吸频率(RR)。本文分析了人体运动下生命体征信号的频谱特征(运动调制效应)。基于这种效果,仅使用一个非接触式连续波(CW)多普勒雷达生命体征检测系统开发了一种在一维(1-D)人体运动下的RR测量方法。提取人体运动的方向以及频谱中呼吸峰值的新位置,从而可以计算出RR。使用生命体征检测系统模型对理论进行仿真,然后进行实验以验证该理论。仅通过一个5.8 GHz非接触式CW生命体征检测系统对执行器和人体进行了实验。在较大的一维人体运动中,其位移是呼吸位移的5-10倍,该方法成功地测量了RR,误差仅为7.15%。

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