首页 | 本学科首页   官方微博 | 高级检索  
     

结合小波变换的独立元心电信号增强
引用本文:杜德洁,张乐平,王刚,龚华礼. 结合小波变换的独立元心电信号增强[J]. 计算机工程与应用, 2006, 42(9): 219-220,227
作者姓名:杜德洁  张乐平  王刚  龚华礼
作者单位:第二军医大学计算机教研室,上海,200433;第二军医大学计算机教研室,上海,200433;第二军医大学计算机教研室,上海,200433;第二军医大学计算机教研室,上海,200433
摘    要:论文应用小波变换的Mallat算法从一路带噪心电信号构造了另两路观察信号,从而满足独立元分析要求的观测信号向量维数不小于独立信号向量维数的条件;在此基础上,采用FastICA算法对三路心电信号进行独立元分解,分离效果理想。

关 键 词:心电信号  小波变换  独立元分析  Mallat算法  FastICA算法
文章编号:1002-8331-(2006)09-0219-02
收稿时间:2005-07-01
修稿时间:2005-07-01

ECG Enhancement of Combining Wavelet Transform and Independent Component Analysis
Du Dejie,Zhang Leiping,Wang Gang,Gong Huali. ECG Enhancement of Combining Wavelet Transform and Independent Component Analysis[J]. Computer Engineering and Applications, 2006, 42(9): 219-220,227
Authors:Du Dejie  Zhang Leiping  Wang Gang  Gong Huali
Affiliation:Education Laboratory of Computer,Second Military Medical University,Shanghai 200433
Abstract:Independent Component Analysis requires that the number of observations should be no less than that of independent sources.In order to satisfy the assumption,in this paper,the Mallat algorithm in wavelet transform is applied to generate two other channels from one single channel noisy ECG signal.The experiment result shows that the performance of FastICA algorithm on the three channel noisy ECG signals is satisfactory.
Keywords:ECG  wavelet transform  Independent Component Analysis(ICA)  Mallat algorithm  FastICA algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号