Journals Proceedings

Abstract

A method for the automatic classification of paper-based electrocardiogram (ECG) ispresented.An automated classification system of digital ECG has been developing for a few years. However, in reality, ECG signal usually recorded on the paper which cannot be directly analyzed by the computer. To extract the feature of signal, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Hybrid Discriminant Analysis (HDA) have been used to perform in this issue. ECG shape form scanned image was detected by many image processing techniques. Example data was obtained from MIT-BIH database. This investigation uses Support Vector Machine (SVM) to create the classifier model. This experiment resulted in anaccuracy of 98.73%