Detection of Some Major Heart Diseases Using Fractal Analysis

This paper presents a new method to analyze three specific heart diseasesnamely Atrial Premature Beat (APB), Left Bundle Branch Block (LBBB) andPremature Ventricular Contraction (PVC). The problem is introduced from thediscussion of Fractal Dimension. Further, the fractal dimension is used todistinguish between the Electrocardiogram (ECG) signals of healthy person andpersons with PVC, LBBB and APB from the raw ECG data. The work done in thispaper can be divided into few steps. First step is the determination of therescaled range of an ECG signal. Then there comes the necessity of calculatingthe slope of the rescaled range curve. Through this methodology we haveestablished a range of fractal dimension for healthy person and persons withvarious heart diseases. The way towards determining the range of fractaldimension for those ECG data taken from MIT-BIH Arrhythmia Database hasbeen explained. Again, the obtained range of fractal dimension is also presentedhere in a tabular fashion with proper analysis.