基于自适应线性神经网络的心电信号滤波

FILTERING OF ECG SIGNALS BASED ON ADAPTIVE LINEAR NEURAL NETWORK

针对心电信号检测中存在的噪声,将线性神经网络与自适应噪声对消原理结合起来,设计出了自适应线性神经网络滤波器,以实现对心电信号中工频干扰、呼吸引起的基线漂移的滤除。经仿真验证,该滤波器对这两类噪声的滤除均有较好的效果。

This paper discussed the design of an effective digital filter for eliminating noise interference from ECG. The filter combined the linear neural network and adaptive noise cancellation principle. It is applied to eliminate power-line interference and baseline drift caused by breathing. The simulation results showed that the filter could eliminate these two kinds of noises effectively.