摘要
在传统盒维数的基础上,从尺度变化的角度,提出一种计算心音信号时域波形分形维数的新的二进盒维数算法,并给出了算法思想和估算方法;然后用该方法对正常心音和几种典型的病态心音的分形维数进行计算,并对其分形特征进行了研究.研究结果表明:心音信号具有明显的分形特征,分形维数能够反映心音信号的复杂程度,并且能够明显地区分正常心音和病态心音.
This paper presents a new binary box-counting dimension algorithm based on conventional box-counting dimension for calculating fractal dimension of time waves of heart sound signals from the angle of variations in scale, and gives algorithmic idea and estimation method. Then, this paper calculates the fractal dimension of normal and several kinds of typical morbid heart sound, and researches on their fractal characteristics with the method. The findings show heart sound signals have obvious fractal characteristics, and fractal dimension can express the complexity of heart sound signals and evidently distinguish normal and morbid heart sound.
出处
《生物数学学报》
CSCD
北大核心
2009年第2期379-383,共5页
Journal of Biomathematics
关键词
心音信号
分形维数
二进盒维数
Heart sound signal
Fractal dimension
Binary box-counting dimension
