自适应混合滤波在脉搏实时监测系统中的应用

Application of adaptive hybrid filtering algorithm in pulse real-time monitoring system

针对脉搏传感器在数据采集过程中干扰信号对系统测量精度带来的影响,提出了一种自适应混合滤波算法。该算法将限幅滤波、递推中位值平均滤波、递推平均滤波相结合,并针对采样长度对滤波效果的影响,自适应采样窗口大小的调整,可有效消除偶然脉冲与抑制周期性脉冲的干扰。通过对10名测试者进行测量实验,将心电图机测量数据、使用与未使用自适应混合滤波的脉搏实时监测系统测量数据进行对比。实验结果表明:使用滤波算法后,脉搏测量的算术平均差约为0.4 BPM,比未使用滤波算法整体提高约9倍。

Aiming at effect of interfering signal of pulse sensor in process of data acquisition on system precision of measurement,an adaptive hybrid filtering algorithm is proposed. The algorithm combines amplitude limiting filtering,average recursive median filtering and recursion average filtering,aiming at influence of sampling length on filtering effect,adjust adaptive sampling window size,effectively eliminate accidental pulse and inhibit periodic pulse interference. Through testing on ten testers,electrocardiograph measurement data is compared with measurement data of pulse real-time monitoring system,using and not using adaptive hybrid filtering algorithm.Experimental results show that arithmetic mean difference of pulse measurement is about 0. 4 BPM after using filtering algorithm,improve overall about 9 times compared with the algorithm without using filtering algorithm.