| 基于盒维数的心音信号分形特征研究 |
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| 引用本文： | 贾丽会,张修如.基于盒维数的心音信号分形特征研究[J].生物数学学报,2009,24(2):379-383. |
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| 作者姓名： | 贾丽会 张修如 |
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| 作者单位： | 中南林业科技大学,计算机科学学院,湖南,长沙,410004,中南大学,信息科学与工程学院,湖南,长沙,410075 |
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| 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．
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| 关 键 词： | 心音信号 分形维数 二进盒维数 |
Research on Fractal Characteristics of Heart Sound Signals Based on Box-Counting Dimension |
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| Institution: | JIA Li-hui, ZHANG Xiu-ru (1 School of Computer Science, Central South University of Forestry ＆ Technology, Changsha 410004 China; ;2 College of Information Science ＆ Engineering, Central South University, Changsha Hunan 410075 China ) |
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| Abstract: | 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. |
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| Keywords: | Heart sound signal Fractal dimension Binary box-counting dimension |
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