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Accurate Doppler radar-based heart rate measurement using matched filter

机译:使用匹配过滤器准确的多普勒雷达的心率测量

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摘要

To enhance the vital sign radar’s detection accuracy of heartbeat rate (HR), which is heavily affected by the harmonics of respiration frequency, this paper proposes a waveform-driven matched filtering method based on polynomial fitting extraction. The merit of this approach lies in that, the quasi-ideal matching impulse approximating the actual heartbeat signal can be readily retrieved by subtracting the polynomial fitted waveform from a received signal, which provides high adaptability for individual subjects. Essentially, this extraction greatly removes the harmonic interference originated from respiration, thus considerably improving the HR detection accuracy. Simulations are performed to acquire the proper fitting order and the effective impulse duration. Guided by these two parameters, a 10-GHz non-contact continuous-wave (CW) Doppler radar system with typical microwave laboratory instruments is constructed. Experimental results confirmed the effectiveness of the proposed method, showing that the average errors of HR can be reduced from 46.21% to 0.96% under different subjects and distances, and from 38.05% to 0.90% in continuous measurement for one subject.
机译:为了提高心跳率(HR)的生命符号雷达的检测精度,这是基于多项式配件提取的波形驱动匹配滤波方法,这提高了心跳速率(HR)的检测精度。这种方法的优点在于,可以通过从接收信号中减去多项式拟合波形来易于检索近似实际心跳信号的准理想匹配脉冲,这为各个受试者提供了高适应性。基本上,这种提取极大地去除源自呼吸的谐波干扰,从而显着提高了HR检测精度。执行模拟以获取适当的配件顺序和有效的脉冲持续时间。由这两个参数引导,构建了一种具有典型微波实验室仪器的10GHz非接触式连续波(CW)多普勒雷达系统。实验结果证实了该方法的有效性,表明HR的平均误差可以在不同受试者和距离下的46.21%降至0.96%,并且在连续测量中为一个受试者的38.05%至0.90%。

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