面向智能服装健康监护系统的心电信号基线漂移处理*

面向智能服装的健康监护系统心电信号存在严重的基线漂移，针对基漂去除的需要，提出了基于基线漂移阈值的分级处理方法。首先采用滑动窗口中值滤波算法对心电信号进行滤波，并计算出基线漂移的程度大小，当其大于给定的阈值时，采用小波变换得到QRS波群的位置信息和信号的特点来变动滑动窗口大小。中值滤波和小波算法可以在两个处理平台上并行运行，提高了运算速度；最后，运用该算法分别对模拟和实际的基线漂移进行处理，并与其他算法的处理结果进行了比较，结果表明该算法具有较好的实时性和处理效果。

Baseline wander correction of ECG in smart garment health monitoring system

With the need of removing baseline wander of ECG in smart garment health monitoring system,this paper suggested a hierarchy method based on the threshold of baseline wander.Firstly,adopted a slide window median filter to filter the ECG,then computed the baseline wander degree.When its degree exceeded the threshold,started to change the width of the window according to QRS wave position and the characteristics of signal,which were got by wavelet transform method.Both methods could perform on two processing platforms separately in order to improve the operation speed.Finally,used the algorithm to solve both simulated and real baseline wander,compared its results with other algorithm.The results prove its satisfactory real-time performance and effect.