Anatomizing electrocardiogram using fractal features and GUI based detection of P and T waves

The electrocardiogram (ECG) is the graphical signal representation of overall functioning of the heart. The graph for electrocardiogram shows voltage versus time produced by a method of non-invasive medical procedure. Analyzing the process of ECG plays a lively role in the research of processing of biomedical signals. Cardiac arrhythmia is also known as cardiac dysrhythmia or irregular heartbeats. At present scenario, it's a big challenge to detect the arrhythmia. In this article a method of analysis of ECG signal using fractal features and its properties.ECG signals has its fractal patterns. Hence the fractal dimension of the ECG is calculated in a feature extraction phase. The estimation of fractal dimension in the feature extraction phase is used to discriminate between the normal and abnormal heart. If the heart is in abnormal condition then ECG characteristics point such as P and T waves of abnormal wave is detected. Detecting P and T waves in the abnormal signal is crucial for diagnosing and it is to detect heart rate variability and some cardiac diseases related to it. The obtained results of this paper confirm mostly preferable of the proposed method for examining P and T waves of the abnormal ECG signal based on graphical user interface.