[01] Mishuk Mitra, Department of Electrical and Electronic Engineering, University of Asia Pacific (UAP), Bangladesh. [02] Metali Rani Datta, Department of Electrical and Electronic Engineering, University of Asia Pacific (UAP), Bangladesh. [03] Saif Saduddin, Department of Electrical and Electronic Engineering, University of Asia Pacific (UAP), Bangladesh. [04] Atia Rahman, Department of Electrical and Electronic Engineering, University of Asia Pacific (UAP), Bangladesh.

In this research, our aim is to calculate Fractal Dimension (FD) to analyse the heart rate variability (HRV) of healthy person from Electrocardiogram (ECG) signal. Some non-linear techniques are applied to different raw data (RR intervals of ECG) that are derived from the sample ECG records from MIT-BIH database. Electrocardiogram (ECG) signal gives significant information for the cardiologist to detect cardiac diseases. ECG signal is a self-similar object. So, fractal analysis can be implemented for proper utilization of the gathered information. A technique of nonlinear analysis- the fractal analysis is recently having its popularity to many researchers working on. In general, fractals can be any type of infinitely scaled and repeated pattern. A fractal is a natural phenomenon or a mathematical set that exhibits a repeating pattern that displays at every scale due to the self-similarity in the Heart’s electrical conduction mechanism and self-affine behaviour of Heart Rate (HR). It is also known as expanding symmetry or evolving symmetry. Fractal analysis is measures complexity using the fractal dimension. Self-similarity dimension is one of the classifications of Fractal Dimension (FD). If the replication is exactly the same at every scale, it is called a self-similar pattern. So, fractal analysis can be implemented for proper utilization of the gathered information. It is expected that the proposed technique will provide a better result by comparison will others to calculate FD of ECG signal.

Fractal Dimension (FD), Heart Rate Variability (HRV), Electrocardiogram (ECG), Instantaneous Heart Rate (IHR)

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