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Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors

机译:多普勒雷达传感器用于生命体征检测的峰值检测算法

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摘要

An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show clear peaks like in electrocardiography (ECG) because of the operating characteristics of the radar. The proposed peak detection algorithm extracts the vital signs from the raw data. The algorithm shows the mean accuracy of 96.78% compared to the peak count from the reference ECG sensor and a processing time approximately two times faster than the gradient-based algorithm. To verify whether heart rate variability (HRV) analysis similar to that with an ECG sensor is possible for a radar sensor when applying the proposed method, the continuous parameter variations of the HRV in the time domain are analyzed using data processed with the proposed peak detection algorithm. Experimental results with six subjects show that the proposed method can obtain the heart rate with high accuracy but cannot obtain the information for an HRV analysis because the proposed method cannot overcome the characteristics of the radar sensor itself.
机译:提出了一种检测从多普勒雷达传感器获得的生命体征的准确方法。多普勒雷达传感器可以远程获取生命信号,例如心跳和呼吸频率,但是由于雷达的工作特性,使用该传感器获得的生命信号没有像心电图(ECG)那样显示清晰的峰值。提出的峰值检测算法从原始数据中提取生命体征。与来自参考ECG传感器的峰值计数相比,该算法显示了96.78%的平均准确度,并且处理时间比基于梯度的算法快大约两倍。为了验证在应用所提出的方法时是否可以对雷达传感器进行类似于ECG传感器的心率变异性(HRV)分析,使用通过所提出的峰值检测处理的数据来分析HRV在时域中的连续参数变化算法。六个对象的实验结果表明,该方法可以高精度地获取心率,但由于无法克服雷达传感器本身的特性,因此无法获得用于HRV分析的信息。

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