AUTOMATIC INDICATION OF HEART ATRIAL ENLARGEMENT BASED ON ECG SIGNAL PROCESSING

Abstract

The Electrocardiogram (ECG) is an important signal that reports the activity of the human heart, it is pretended to be a diagnostic source for different cardiac diseases. The Heart Atrial Enlargement (HAE) is one of the known heart diseases that it is diagnosed based on manual reading of ECG signal reports. The recording of ECG signal could be affected by different sources of noise that lead to non-accurate analysis of the recorded signal. In this research a new algorithm has been suggested to give an automatic indication to the HAE. The proposed algorithm using three stages of processing to achieved its job. The algorithm uses Savitzky Golay (SG) filter for noise cancellation to clean and smooth the ECG signal from any unwanted noise. MATLAB simulation has been used to build and test the suggested algorithm. The designed algorithm has been tested on ECG waves from the MIT-BIH MGH/MF waveform database. The proposed algorithm has achieved an overall matching performance of 88.235%.