Detection Of Some Major Heart Diseases Using Fractal Analysis |
| 一些大的心脏疾病，使用分形分析检测 注：没有中文版本，只有英文版本 |
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| Abstract:
| This paper presents a new method to analyze three specific heart diseases namely Atrial Premature Beat (APB), Left Bundle Branch Block (LBBB) and Premature Ventricular Contraction (PVC). The problem is introduced from the discussion of Fractal Dimension. Further, the fractal dimension is used to distinguish between the Electrocardiogram (ECG) signals of healthy person and persons with PVC, LBBB and APB from the raw ECG data. The work done in this paper can be divided into few steps. First step is the determination of the rescaled range of an ECG signal. Then there comes the necessity of calculating the slope of the rescaled range curve. Through this methodology we have established a range of fractal dimension for healthy person and persons with various heart diseases. The way towards determining the range of fractal dimension for those ECG data taken from MIT-BIH Arrhythmia Database has been explained. Again, the obtained range of fractal dimension is also presented here in a tabular fashion with proper analysis |
| 翻译后摘要:
| 本文提出了一种新的方法来分析特定的心脏疾病，即房性早搏（APB），左束支传导阻滞（LBBB），室性早搏（PVC）。介绍了分形维数的讨论的问题。此外，分形维数是用来区分健康人的心电图（ECG）信号和PVC，LBBB和APB的人从原始的心电图数据。本文的工作可分为几个步骤。第一个步骤是确定的重新缩放范围的ECG信号。然后来计算的重新缩放范围曲线的斜率的必要性。通过这种方法，我们已经制定了一系列的健康人的分形维数和各种心脏疾病的人。对确定范围内的分形维数的心电数据取自MIT-BIH心律失常数据库的方式已经解释过。同样，所获得的分形维数也以表格的方式呈现适当的分析 |
| Author:
| Nahina Islam Nafiz I. B. Hamid Adnan Mahmud Sk. M. Rahman Arafat H. Khan Nahina Islam Nafiz Imtiaz B |
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