北京生物医学工程2011，Vol.30Issue(5)：490-495,6.DOI:10.3969/j.issn.1002-3208.2011.05.11
基于多重分形去趋势涨落的心室纤颤和心动过速分析
Detection of Ventricular Tachycardia and Fibrillation Based on Multifractal Detrended Fluctuation Analysis
谢佳兴 1王俊1
作者信息
- 1. 南京邮电大学,图像处理与图像通信江苏省重点实验室,南京,210003
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摘要
Abstract
In this paper, multifractal detrended fluctuation analysis method was used to analyze the multifractal characteristics of the ventricular fibrillation(VT) signals, the ventricular tachycardia(VF) signals and the normal electrocardiograph (ECG) signals, which was used to distinguish three kinds of signals effectively. By analyzing the Hurst index, Renyi index and multifractal spectrum, it was found that there were degrees of long-range correlation and multifractal characteristics among three kinds of signals, and when the order of fluctuation function was positive, the three kinds of signals showed distinct long-range correlation properties. To compare with the three signals ' multifractal spectrum, the width of the normal ECG signals' spectrum was smallest, the VT signals' was of the second stronger fractality and the VF signals' was of the biggest. This study provided good reference for clinical diagnosing and distinguishing with VT and VF.关键词
心动过速/心室纤颤/多重分形/去趋势涨落分析Key words
ventricular tachycardia/ ventricular fibrillation/ multifractal/ detrended fluctuation analysis分类
医药卫生引用本文复制引用
谢佳兴,王俊..基于多重分形去趋势涨落的心室纤颤和心动过速分析[J].北京生物医学工程,2011,30(5):490-495,6.
