classification of cardiac arrhythmias using fractal dimensions

The fractals are a fascinating mathematical tool for modeling the roughness of nature and understanding the structure of such complex objects. they are considered a tool for understanding the world. in general, fractal objects are characterized by the fractal dimension. in this work, and in order to exploit the fractal dimension to analyze fractal signals, we have defined the notion of the fractal dimension by presenting the methods for calculating this dimension. in this paper; we have shown that the electrocardiogram (ecg) is a fractal signal. this allows us to classify heartbeats based on the fractal concept. the aim is to develop a digital technique to analyze ecg signals in order to make an accurate diagnosis of cardiovascular diseases