Perbandingan Skema Dekomposisi Paket Wavelet Untuk Pengenalan Sinyal EKG
Perbandingan Skema Dekomposisi Paket Wavelet Untuk Pengenalan Sinyal EKG
Author : ACHMAD RIZAL Published on : Jurnal Nasional Teknik Elektro dan Teknologi Informasi, UGM
Abstract
One indicator of a person’s health is a signal pattern electrocardiogram (ECG). ECG signals were generated by the heart’s electrical activity. ECG signal pattern recognized by physicians to determine a patient’s heart health. Some of the techniques were developed by the researchers to recognize the ECG signal automatically. One of the most popular techniques is the wavelet transform. In this study, two wavelet packet decomposition schemes for ECG signal recognition are compared to find the best one. The first scheme generates 32 features while the second scheme generates 15 features. Accuracy testing showed the first scheme produce the best average accuracy of 94.67%, better than the second scheme. With features selection on the first scheme, obtained four dominant features that produce higher accuracy than the use of 32 features. These results indicate that the first scheme is better than the second scheme for ECG signal recognition using wavelet packet decomposition.
