基于多通道雷达数据融合的人体心率精准测量

Precise measurement of human heart rate based on multi-channel radar data fusion

为实现人体心率的非接触式测量并提高其测量的精准度,本文提出一种基于多通道雷达数据融合的人体心率测量方法。雷达数据首先依次对每个通道数据进行人体位置识别、相位提取与解缠绕、相位差分、功率谱熵优化的带通滤波以及快速独立成分分析提取。再将四通道数据叠加融合后,使用霜冰优化的变分模态分解分离出心跳信号。最后引入线性调频Z变换进行心率估计。经过40组数据验证,本文方法的平均均方根误差为2.35次/分,平均错误率为2.39%,皮尔逊相关系数为0.97,置信区间为[–4.78,4.78]次/分,一致性误差为–0.04次/分。实验结果显示,本文提出的测量方法在准确性、相关性、一致性方面表现出色,能够实现人体心率的精准测量。

To achieve non-contact measurement of human heart rate and improve its accuracy,this paper proposes a method for measuring human heart rate based on multi-channel radar data fusion.The radar data were firstly extracted by human body position identification,phase extraction and unwinding,phase difference,band-pass filtering optimized by power spectrum entropy,and fast independent component analysis for each channel data.After overlaying and fusing the four-channel data,the heartbeat signal was separated using frost-optimized variational modal decomposition.Finally,a chirp Z-transform was introduced for heart rate estimation.After validation with 40 sets of data,the average root mean square error of the proposed method was 2.35 beats per minute,with an average error rate of 2.39%,a Pearson correlation coefficient of 0.97,a confidence interval of[-4.78,4.78]beats per minute,and a consistency error of-0.04.The experimental results show that the proposed measurement method performs well in terms of accuracy,correlation,and consistency,enabling precise measurement of human heart rate.