摘要
脉诊仪的研制中,由于呼吸运动和身体移位导致脉搏信号的基线漂移是必须克服的。本文提出了一种新的基于Meyer小波变换的自适应滤波器,其参考输入选择原始信号经小波分解后的高频分量。通过仿真和实际测量实验表明,该方法能有效消除脉搏波的基线漂移。
The baseline drift of pulse waveform caused by respiration and the mot ion of body must be removed in the course of the develop of pulse diagnosis appa ratus. A new adaptive filter based on Meyer wavelet transform is proposed in thi s paper. The reference input of the adaptive filter is derived from the high-fre quency bands of original pulse waveform signal decomposed by wavelet transform. It can be demonstrated by simulation and the real measure test that this method can effectively eliminate the baseline drift of pulse waveform.
出处
《中国医学物理学杂志》
CSCD
2004年第5期296-299,共4页
Chinese Journal of Medical Physics
关键词
基线漂移
自适应滤波器
LMS算法
Meyer小波
脉搏波
baseline drift
adaptive filter
Least Mean Square (LMS) algorithm
M eyer wavelet
pulse waveform
