首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于负熵最大化FastICA的心电信号提取研究
引用本文:李富强,郑宝周,贾树恒.基于负熵最大化FastICA的心电信号提取研究[J].河南科学,2011,29(12):1509-1512.
作者姓名:李富强  郑宝周  贾树恒
作者单位:河南农业大学 理学院,郑州,450002
摘    要:针对心电信号常被工频干扰污染问题,为了从观测信号中有效分离出心电信号,采用了基于负熵最大化的FastICA方法.仿真中,观测信号由心电信号和工频干扰通过混合矩阵线性叠加而成,无明显心电信号特征.经具体方法基于负熵最大化FastICA方法处理后,分离出的心电信号很好地逼近了理想心电信号,具有明显的心电信号特征,心电信号提...

关 键 词:独立分量分析  快速ICA  负熵  心电信号  工频干扰

Research on Electrocardiogram Abstraction Based on Negentropy-maximization FastICA
Li Fuqiang , Zheng Baozhou , Jia Shuheng.Research on Electrocardiogram Abstraction Based on Negentropy-maximization FastICA[J].Henan Science,2011,29(12):1509-1512.
Authors:Li Fuqiang  Zheng Baozhou  Jia Shuheng
Institution:(College of Sciences,Henan Agricultural University,Zhengzhou 450002,China)
Abstract:Electrocardiogram is always polluted by power interference seriously.FastICA algorithm based on negentropy maximization is introduced to rebuild electrocardiogram from observing signals.In simulation,observing signals are made by linear superposition of electrocardiogram and power interference using mixed matrix,in which characters of electrocardiogram are hardly observed.After using FastICA algorithm,electrocardiogram with obvious characters has been rebuilt successfully,which is a good approximation to original electrocardiogram.So abstraction of electrocardiogram has been done well.
Keywords:independent component analysis  FastICA  negentropy  electrocardiogram  power interference
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