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基于胸导联ECG的心房颤动信号快速盲分离
引用本文:丁志中,叶中付,汪一休.基于胸导联ECG的心房颤动信号快速盲分离[J].中国科学技术大学学报,2007,37(2):119-125.
作者姓名:丁志中  叶中付  汪一休
作者单位:1. 中国科学技术大学电子工程与信息科学系,安徽合肥,230027;合肥工业大学计算机与信息学院,安徽合肥,230009
2. 中国科学技术大学电子工程与信息科学系,安徽合肥,230027
摘    要:基于胸前6导联信号,提出采用非迭代的AMUSE算法实现房颤信号的快速盲分离,其特点是计算量和存储空间小,为实时分离系统和硬件系统的实现带来更多的有利条件.对真实心电信号的分离实验表明所提出的算法是有效的;且在弱房颤波6导联情况下,它比FastICA有更好的分离效果.

关 键 词:盲源分离  心房颤动  心电信号  多未知信号提取算法
文章编号:0253-2778(2007)02-0119-07
修稿时间:08 28 2006 12:00AM

An efficient approach for blind separation of atrial fibrillation from precordial lead ECG
DING Zhi-zhong,YE Zhong-fu,WANG Yi-xiu.An efficient approach for blind separation of atrial fibrillation from precordial lead ECG[J].Journal of University of Science and Technology of China,2007,37(2):119-125.
Authors:DING Zhi-zhong  YE Zhong-fu  WANG Yi-xiu
Institution:1. Department of Electronic Engineering and Information Science, USTC, Hefei 230027, China 2. Hefei University of Technology, Hefei 230009,China
Abstract:An efficient and non-reiterative approach to separating AF blindly from precordial ECG signals was presented using AMUSE algorithm.The presented method has very low computation cost and simplifies electrode connection,which provides more favorable conditions for the implementation of real-time or hardware systems.Simulation based on real-world ECG signals shows that the approach is efficient,and it usually has better results of separation based on 6-lead ECG when atrial fibrillation signals are weak.
Keywords:blind source separation  atrial fibrillation  ECG  AMUSE
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