A Novel Real-Time Human Heart Rate Estimation Method for Noncontact Vital Sign Radar Detection
A Novel Real-Time Human Heart Rate Estimation Method for Noncontact Vital Sign Radar Detection
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DOI：
10.1109/access.2020.2993503
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Zhang, Juan
中科院分区：
文献类型：
--
作者：
Ding, Yipeng;Yu, Xiali;Zhang, Juan
本文提出了一种用于非接触式生命体征雷达检测的新型实时心率（HR）估计方法。所提方法结合了基于霍夫变换的呼吸谐波抑制算法和基于线性预测编码（LPC）的心率估计算法。由于呼吸信号会对心率估计造成严重干扰，首先应用基于霍夫变换的呼吸谐波抑制算法，通过呼吸信号及其高阶谐波在二维频谱上的分布来依次识别和滤除它们。抑制之后，可基于滤波后信号的线性预测系数实时得出心率。与传统方法相比，所提方法通过减少呼吸谐波的干扰以及避免短时窗导致的频率分辨率不足的问题，能够更精确地估计心率。实验结果验证了所提方法的性能。
This paper proposes a novel real-time human heart rate (HR) estimation method for noncontact vital sign radar detection. The proposed method combines the Hough transform based respiratory harmonics suppression algorithm and linear predictive coding (LPC) based HR estimation algorithm. Since respiration signals can cause serious interference to HR estimation, the Hough transform based respiratory harmonics suppression algorithm is first applied to successively identify and filter the respiration signals and the higher order harmonics by their distributions on the 2-D spectrum. After suppression, HR can be derived in real time based on the linear predictor coefficients of the filtered signals. Compared to the traditional method, the proposed method can estimate HR more precisely by reducing the interference of respiratory harmonics and avoiding the problem of insufficient frequency resolution caused by short-time windows. Experimental results are presented to demonstrate the performance of the proposed method.