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

TANG Qing; ZHOU Qi-yun; ZENG Bin

doi:10.13873/J.1000-9787(2015)11-0150-03

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

更新时间：2025-09-11

- Application of adaptive hybrid filtering algorithm in pulse real-time monitoring system
- Vol. 34, Issue 11, Pages: 150-152(2015)
- 作者机构：
  
  江西师范大学计算机信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)11-0150-03
  CLC： TP274
- Published：2015
- 稿件说明：
移动端阅览
[1]汤青,周琪云,曾斌.自适应混合滤波在脉搏实时监测系统中的应用[J].传感器与微系统,2015,34(11):150-152.

TANG Qing, ZHOU Qi-yun, ZENG Bin. Application of adaptive hybrid filtering algorithm in pulse real-time monitoring system[J]. 2015, 34(11): 150-152.
[1]汤青,周琪云,曾斌.自适应混合滤波在脉搏实时监测系统中的应用[J].传感器与微系统,2015,34(11):150-152. DOI： 10.13873/J.1000-9787(2015)11-0150-03.

TANG Qing, ZHOU Qi-yun, ZENG Bin. Application of adaptive hybrid filtering algorithm in pulse real-time monitoring system[J]. 2015, 34(11): 150-152. DOI： 10.13873/J.1000-9787(2015)11-0150-03.

摘要

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。

Abstract

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.

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references

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可变限幅滤波方法的参数分析与改进 [J]. 吕文祥,张金柱,杨跃,黄德先. 清华大学学报(自然科学版) . 2012(08)

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