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

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, muhifractal 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＂ muhifractal 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.