Galaska Rafal, Makowiec Danuta, Dudkowska Aleksandra, Koprowski Andrzej, Chlebus Krzysztof, Wdowczyk-Szulc Joanna, Rynkiewicz Andrzej
First Department of Cardiology Medical University of Gdansk, Poland.
Ann Noninvasive Electrocardiol. 2008 Apr;13(2):155-64. doi: 10.1111/j.1542-474X.2008.00215.x.
In recent years the WTMM (wavelet transform modulus maxima) and MDFA (multifractal detrended fluctuation analysis) methods have become widely used techniques for the determination of nonlinear, multifractal heart rate (HR) dynamics. The purpose of our study was to compare multifractal parameters of heart rate calculated using both methods in a group of 90 patients with reduced left ventricular systolic function (rlvs group) and in a group of 39 healthy persons (nsr group).
For each subject from the rlvs group (LVEF < or =40%) and the nsr group, a 24-hour ECG Holter monitoring was performed. The width of the multifractal spectrum and global Hurst exponent were calculated by means of WTMM and MDFA methods for 5-hour daytime and nighttime subsets.
The width of the multifractal spectrum was significantly lower and the Hurst exponent was significantly higher in rlvs group in comparison to nsr group both during diurnal activity and nocturnal rest according to MDFA and only during diurnal activity according to WTMM method. In both groups we observed significant differences of the multifractal spectrum width and the global Hurst exponent between the nighttime and daytime recordings.
MDFA seems to be more sensitive as compared with WTMM method in differentiation between multifractal properties of the heart rate in healthy subjects and patients with left ventricular systolic dysfunction.
近年来,小波变换模极大值(WTMM)和多重分形去趋势波动分析(MDFA)方法已成为用于确定非线性、多重分形心率(HR)动力学的广泛使用的技术。我们研究的目的是比较在90例左心室收缩功能降低患者组(rlvs组)和39例健康人组(nsr组)中使用这两种方法计算的心率多重分形参数。
对rlvs组(左心室射血分数[LVEF]≤40%)和nsr组的每个受试者进行24小时动态心电图监测。通过WTMM和MDFA方法计算5小时白天和夜间子集的多重分形谱宽度和全局赫斯特指数。
根据MDFA方法,在白天活动和夜间休息期间,rlvs组的多重分形谱宽度显著更低,赫斯特指数显著更高,而根据WTMM方法仅在白天活动期间如此。在两组中,我们观察到夜间和白天记录之间的多重分形谱宽度和全局赫斯特指数存在显著差异。
与WTMM方法相比,MDFA在区分健康受试者和左心室收缩功能障碍患者心率的多重分形特性方面似乎更敏感。