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Detection of some major heart diseases using fractal analysis

journal contribution
posted on 03.02.2020, 00:00 by Nahina IslamNahina Islam, NI Bin Hamid, A Mahmud, SM Rahman, AH Khan
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.

History

Volume

4

Issue

2

Start Page

63

End Page

70

Number of Pages

8

ISSN

1985-2347

Publisher

Computer Science Journals

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Journal

International Journal of Biometrics and Bioinformatics

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