Cover Image

Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface

The electrocardiogram (ECG) is the recording of the electrical potential of the heart versus time. The analysis of ECG signals has been widely used in cardiac pathology to detect heart disease. The ECGs are non-stationary signals which are often contaminated by different types of noises from differe...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Qazzaz, Noor Kamal, Buniya, A., Aldoori, Alaa A., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom
Format: Article
Language:English
Published: Penerbit UTHM 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114787/1/114787.pdf
http://psasir.upm.edu.my/id/eprint/114787/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/18535
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.114787
record_format eprints
spelling my.upm.eprints.1147872025-01-31T07:35:03Z http://psasir.upm.edu.my/id/eprint/114787/ Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface Al-Qazzaz, Noor Kamal Buniya, A. Aldoori, Alaa A. Mohd Ali, Sawal Hamid Ahmad, Siti Anom The electrocardiogram (ECG) is the recording of the electrical potential of the heart versus time. The analysis of ECG signals has been widely used in cardiac pathology to detect heart disease. The ECGs are non-stationary signals which are often contaminated by different types of noises from different sources. In this study, simulated noise models were proposed for the power-line interference (PLI), electromyogram (EMG) noise, base line wander (BW), white Gaussian noise (WGN) and composite noise. For suppressing noises and extracting the efficient morphology of an ECG signal, various processing techniques have been recently proposed. In this paper, wavelet transform (WT) is performed for noisy ECG signals. The graphical user interface (GUI) system is developed for visual representation and adaptive enhancement on noise modeling in ECG-based signal processing. Percentage root mean square difference () was measured between the modeled noisy signals and the samples of the original ECG. Moreover, cross correlation and root mean square error () were performed between the noisy EEG signals and the denoised ones which resulted from WT denoising technique initially to evaluate the effectiveness of the WT denoising technique. The results show that the WT was successfully removed different types of proposed models of noises. This study will help medical doctors, clinicians, physicians, and technicians to eliminate different types of noise. Moreover, the project could be crucial for the process of automatic diagnosis of different heart diseases. Penerbit UTHM 2024-11-27 Article PeerReviewed text en cc_by_nc_sa_4 http://psasir.upm.edu.my/id/eprint/114787/1/114787.pdf Al-Qazzaz, Noor Kamal and Buniya, A. and Aldoori, Alaa A. and Mohd Ali, Sawal Hamid and Ahmad, Siti Anom (2024) Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface. International Journal of Integrated Engineering, 16 (7). pp. 26-36. ISSN 2229-838X; eISSN: 2229-838X https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/18535 10.30880/ijie.2024.16.07.003
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The electrocardiogram (ECG) is the recording of the electrical potential of the heart versus time. The analysis of ECG signals has been widely used in cardiac pathology to detect heart disease. The ECGs are non-stationary signals which are often contaminated by different types of noises from different sources. In this study, simulated noise models were proposed for the power-line interference (PLI), electromyogram (EMG) noise, base line wander (BW), white Gaussian noise (WGN) and composite noise. For suppressing noises and extracting the efficient morphology of an ECG signal, various processing techniques have been recently proposed. In this paper, wavelet transform (WT) is performed for noisy ECG signals. The graphical user interface (GUI) system is developed for visual representation and adaptive enhancement on noise modeling in ECG-based signal processing. Percentage root mean square difference () was measured between the modeled noisy signals and the samples of the original ECG. Moreover, cross correlation and root mean square error () were performed between the noisy EEG signals and the denoised ones which resulted from WT denoising technique initially to evaluate the effectiveness of the WT denoising technique. The results show that the WT was successfully removed different types of proposed models of noises. This study will help medical doctors, clinicians, physicians, and technicians to eliminate different types of noise. Moreover, the project could be crucial for the process of automatic diagnosis of different heart diseases.
format Article
author Al-Qazzaz, Noor Kamal
Buniya, A.
Aldoori, Alaa A.
Mohd Ali, Sawal Hamid
Ahmad, Siti Anom
spellingShingle Al-Qazzaz, Noor Kamal
Buniya, A.
Aldoori, Alaa A.
Mohd Ali, Sawal Hamid
Ahmad, Siti Anom
Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
author_facet Al-Qazzaz, Noor Kamal
Buniya, A.
Aldoori, Alaa A.
Mohd Ali, Sawal Hamid
Ahmad, Siti Anom
author_sort Al-Qazzaz, Noor Kamal
title Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
title_short Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
title_full Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
title_fullStr Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
title_full_unstemmed Noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
title_sort noise modeling and removal from electrocardiogram signals: a study using wavelet transform with graphical user interface
publisher Penerbit UTHM
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/114787/1/114787.pdf
http://psasir.upm.edu.my/id/eprint/114787/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/18535
_version_ 1823093273436094464
score 13.239859

Similar Items