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基于小波变换的自适应滤波器消除脉搏波基线漂移
引用本文:王鹏,魏守水,黄青华.基于小波变换的自适应滤波器消除脉搏波基线漂移[J].中国医学物理学杂志,2004,21(5):296-299.
作者姓名:王鹏  魏守水  黄青华
作者单位:山东大学控制科学与工程学院,山东,济南,250061
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.

关 键 词:基线漂移  自适应滤波器  LMS算法  Meyer小波  脉搏波
文章编号:1005-202X(2004)05-0296-04
修稿时间:2004年5月17日

Removal of Pulse Waveform Baseline Drift Using Adaptive Filter Based on Wavelet Transform
WANG Peng,WEI Shou-shui,HUANG Qing-hua.Removal of Pulse Waveform Baseline Drift Using Adaptive Filter Based on Wavelet Transform[J].Chinese Journal of Medical Physics,2004,21(5):296-299.
Authors:WANG Peng  WEI Shou-shui  HUANG Qing-hua
Abstract: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.
Keywords:baseline drift  adaptive filter  Least Mean Square (LMS) algorithm  M eyer wavelet  pulse waveform
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