Independent Component Approach for the Analysis of ECG Signals

U. Nimitha, P. Supriya
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引用次数: 3

Abstract

Automated analysis of electrocardiogram (ECG) has got great attention for cardiac diagnosis in the recent years. This paper describes two different ECG analysis algorithms using Independent Component Analysis (ICA) algorithm. ICA refers to set of algorithms for blind source separation (BSS). The underlying principle is to separate N signals from a mix of different source contributions, into signals of independent components. The simulation is proposed to be done in MATLAB.
心电信号分析的独立分量法
近年来,心电图的自动分析在心脏诊断中得到了广泛的关注。本文介绍了采用独立分量分析(ICA)算法的两种不同的心电分析算法。ICA是一组用于盲源分离(BSS)的算法。基本原理是将N个信号从不同源贡献的混合中分离成独立分量的信号。提出在MATLAB中进行仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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