北京生物医学工程

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

作者：谢佳兴王俊

单位：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）

分类号：

出版年·卷·期（页码）：2011·30·5（490-495）

摘要：

本文运用多重分形去趋势涨落的分析方法，研究心动过速、心室纤颤和正常心电信号的多重分形特
征，用以有效区分上述三种信号。通过分析心动过速、心室纤颤和正常心电信号的赫斯特指数、Renyi指
数和多重分形谱，得出三种信号都具有不同程度的长程相关性和多重分形特性，在波动函数的阶数大于0
时，三种信号的长程相关特性区别明显。通过分析多重分形谱，发现心室纤颤的多重分形谱比心动过速
的多重分形谱宽，正常心电信号的多重分形谱最小。以上研究结果将对临床医学诊断识别心动过速和心
室纤颤号信号有很好的借鉴意义。

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.

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