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小波变换在脉象信号消噪处理中的应用
引用本文:刘兴旺,李训铭,岳沛平. 小波变换在脉象信号消噪处理中的应用[J]. 计算机与现代化, 2007, 0(1): 16-18
作者姓名:刘兴旺  李训铭  岳沛平
作者单位:河海大学电气工程学院,江苏,南京,210098;南京中医药大学基础,医学院,江苏,南京,210029
基金项目:江苏省教育厅自然科学基金
摘    要:首先简单介绍了小波变换消噪的原理,然后分别利用小波变换和傅里叶变换,对临床采集的脉象信号进行了消噪处理.结果表明,利用小波消噪能够有效地保留脉象信号中的尖峰和突变部分,最大限度地反映了原信号本身的特性,消噪效果较好.

关 键 词:脉象  小波变换  消噪  傅里叶变换
文章编号:1006-2475(2007)01-0016-03
收稿时间:2006-05-08
修稿时间:2006-05-08

Application of Wavelet Transform in Denoising Pulse Signal
LIU Xing-wang,LI Xun-ming,YUE Pei-ping. Application of Wavelet Transform in Denoising Pulse Signal[J]. Computer and Modernization, 2007, 0(1): 16-18
Authors:LIU Xing-wang  LI Xun-ming  YUE Pei-ping
Affiliation:1.Electric Engineering College, Hohai University, Nanjing 210098, China; 2.Basic Medical College, Nanjing University of Traditional Chinese Medicine, Nanjing 210029, China
Abstract:Firstly,this paper introduces the principle of wavelet transform in denoising simply,and then has the clinic pulse signal denoised by wavelet transform and Fourier transform respectively.The experimental results show that the pulse signal denoised by wavelet transform can effectively retain the pinnacle and mutation of pulse signal and embody the original pulse signal's character as soon as possible,the denoised result is better.
Keywords:human pulse  wavelet transform  denoising  Fourier transform
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