Coronary Artery Disease Diagnosis Based on Electrocardiogram Signal Analysis
Main Article Content
Abstract
An electrocardiogram (ECG) records and displays electrical impulses during cardiac activity. Studying the features of ECG signals to detect cardiac abnormalities is important in the medical field. This report presents a method for the detection of coronary artery diseases, i.e., Atrial Enlargement and Ventricular Enlargement, based on the analysis of ECG signals associated with standard indicators. A program performing ECG analysis for the detection of ventricular thickening and atrial thickening syndrome has been developed and verified with recorded ECG signal. The obtained results show a high accuracy diagnostic results, promising the ability to integrate the program into the ECG measuring equipment for screening and autonomus diagnosis.
Keywords:
ECG, atrial enlargement and ventricular enlargement, signal processing.
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[5] A. K. M. Fazlul Haque1, Md. Hanif Ali1, M. Adnan Kiber2 and Md. Tanvir Hasan, “Detection of small variations of ECG features using Wavelet”, ARPN Journal of Engineering and Applied Sciences, VoL. 4, No. 6, August 2009.
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