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JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG

One indicator of a person's health is signal pattern of electrocardiogram (ECG). ECG signals are generated by the heart's electrical activity. ECG signal pattern is recognized by physicians to determine a patient's heart health. Some of the techniques were developed by researchers to...

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Main Author: Achmad Rizal
Format: Jurnal
Language: Bahasa Indonesia
Published: Teknik elektro UGM 2015
Online Access: http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=82707
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id oai:lib.umy.ac.id:82707
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spelling oai:lib.umy.ac.id:827072021-06-16T13:11:03ZJURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKGAchmad RizalOne indicator of a person's health is signal pattern of electrocardiogram (ECG). ECG signals are generated by the heart's electrical activity. ECG signal pattern is recognized by physicians to determine a patient's heart health. Some of the techniques were developed by researchers to automatically recognize the ECG signal. One of the most popular techniques is 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 shows that the first scheme produce the best average accuracy of 94.67%, better than the second scheme. Using features selection on the first scheme, four dominant features that produce higher accuracy than using 32 features are obtained. These results indicate that the first scheme is better than the second scheme for ECG signal recognition using wavelet packet decomposition. Teknik elektro UGM 2015JurnalISBN:ISSN : 2301-4156JNTETI TAHUN VOL NO 2015 4 2 Bahasa Indonesiahttp://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=82707
institution Universitas Muhammadiyah Yogyakarta
collection Perpustakaan Yogyakarta
language Bahasa Indonesia
description One indicator of a person's health is signal pattern of electrocardiogram (ECG). ECG signals are generated by the heart's electrical activity. ECG signal pattern is recognized by physicians to determine a patient's heart health. Some of the techniques were developed by researchers to automatically recognize the ECG signal. One of the most popular techniques is 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 shows that the first scheme produce the best average accuracy of 94.67%, better than the second scheme. Using features selection on the first scheme, four dominant features that produce higher accuracy than using 32 features are obtained. These results indicate that the first scheme is better than the second scheme for ECG signal recognition using wavelet packet decomposition.
format Jurnal
author Achmad Rizal
spellingShingle Achmad Rizal
JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG
author_sort Achmad Rizal
title JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG
title_short JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG
title_full JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG
title_fullStr JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG
title_full_unstemmed JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Perbandingan Skema Dekomposisi Paket Wavelet untuk Pengenalan Sinyal EKG
title_sort jurnal nasional teknik elektro dan teknologi informasi: perbandingan skema dekomposisi paket wavelet untuk pengenalan sinyal ekg
publisher Teknik elektro UGM
publishDate 2015
url http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=82707
isbn ISBN:ISSN : 2301-4156
callnumber-raw JNTETI TAHUN VOL NO 2015 4 2
callnumber-search JNTETI TAHUN VOL NO 2015 4 2
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score 14.79448

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