基于MATALAB的脉搏波信号的实时处理

The real-time pulse wave signal processing based on MATALAB

本文介绍了从人体采集到的脉搏波信号,由于脉搏波信号信噪比比较低,给后续参数的准确测量带来了困难,所以对于噪声干扰的去除是非常重要而必须的。其中脉搏波信号中常见的噪声有工频干扰、基线漂移、肢体抖动、肌肉紧张而引起的干扰等,本文以频域分析为依据,进行滤波器的设计,FIR数字滤波器较易实现严格的线性相位特性,而这种线性相位特性是医学信号滤波所要求的,系统始终是稳定的,同时考虑到运算速度以及波形的实时显示等要求,综合各种因素,选择了零极点抵消基础上的简单整系数滤波器方法进行脉搏波信号处理,可以实现在MATLAB上对信号的实时处理。

This paper tells us that, as the SNR （signal to noise ratio）of the pulse wave signal is low. It＇s difficult to make the accurate measurement for the follow-up parameters, so the noise removal is very important and necessary. Such as the common frequency interference and baseline drift, dithering limbs, muscle tension caused by interference, and so on. To design the filter based on the frequency domain analysis, the FIR digital filter easier to achieve a strict line Characteristics of phase, which is characterized by the medical linear phase signal filtering required, the system has always been stable, taking into account the speed of operation, as well as real-time waveform display, and other requirements of the comprehensive variety of factors, chosen on the basis of zero offset pole The simple factor of the entire filter method of pulse wave signal processing can he achieved in MATLAB for the realtime signal processing.