摘要
设计了一种新的基于小波变换的自适应滤波器 ,其参考信号选择原始胎动信号经小波分解后与干扰基本无关的尺度信号 .该滤波器可有效去除胎动信号中由于呼吸、宫缩等动作带入的低频干扰 ,对咳嗽、发笑产生的高频干扰也有很好的抑制作用 。
A new self-adaptive filter based-on wavelet transform is designed . At first FMS is decomposed by wavelet,then its reference signal is chosen from the size which is independent of the interference in the fetal movement signals(FMS), The self-adaptive filter can not only wipe off the low-frequency interference brought by breath and womb movement but also restrain the high-frequency interference brought by cough and laugh. The result develops the theory for pattern recognition of FMS.
出处
《郑州大学学报（自然科学版）》
2001年第4期53-55,共3页
Journal of Zhengzhou University (Natural Science)
基金
河南省自然科学基金资助项目
河南省杰出青年科学基金资助项目
关键词
胎动信号
干扰信号
小波变换
除噪
自适应滤波器
孕妇
self-adaptive filer
fetal movement signals
interelence signals
wavelet transform
