ECG noise reduction with the use of the ant lion optimizer algorithm

The electrocardiogram (ECG) signal is susceptible to noise and artifacts and it is essential to remove that noise in order to support any decision making for automatic heart disorder diagnosis systems. In this paper, the use of Ant Lion Optimizer (ALO) for optimizing and identifying the cutoff frequ...

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Main Authors:	Kiew, Hui Hii, Vigneswaran, Narayanamurthy, Fahmi, Samsuri
Format:	Article
Language:	English
Published:	ETASR 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25845/ http://umpir.ump.edu.my/id/eprint/25845/ http://umpir.ump.edu.my/id/eprint/25845/1/ECG%20noise%20reduction%20with%20the%20use%20of%20the%20ant.pdf

id	ump-25845
recordtype	eprints
spelling	ump-258452019-11-26T03:23:48Z http://umpir.ump.edu.my/id/eprint/25845/ ECG noise reduction with the use of the ant lion optimizer algorithm Kiew, Hui Hii Vigneswaran, Narayanamurthy Fahmi, Samsuri TK Electrical engineering. Electronics Nuclear engineering The electrocardiogram (ECG) signal is susceptible to noise and artifacts and it is essential to remove that noise in order to support any decision making for automatic heart disorder diagnosis systems. In this paper, the use of Ant Lion Optimizer (ALO) for optimizing and identifying the cutoff frequency of the ECG signal for low-pass filtering is investigated. Generally, the spectrums of the ECG signal are extracted from two classes: arrhythmia and supraventricular. Baseline wander is removed by a moving median filter. A dataset of the extracted features of the ECG spectrums is used to train the ALO. The performance of the ALO is investigated. The ALO-identified cutoff frequency is applied to a Finite Impulse Response (FIR) filter and the resulting signal is evaluated against the original clean and conventional filtered ECG signals. The results show that the intelligent ALO-based system successfully denoised the ECG signals more effectively than the conventional method. The accuracy percentage increased by 2%. ETASR 2019-08 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25845/1/ECG%20noise%20reduction%20with%20the%20use%20of%20the%20ant.pdf Kiew, Hui Hii and Vigneswaran, Narayanamurthy and Fahmi, Samsuri (2019) ECG noise reduction with the use of the ant lion optimizer algorithm. Engineering, Technology & Applied Science Research, 9 (4). pp. 4525-4529. ISSN 2241-4487 (print); 1792-8036 (online) https://www.etasr.com/index.php/ETASR/article/view/2766/pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Kiew, Hui Hii Vigneswaran, Narayanamurthy Fahmi, Samsuri ECG noise reduction with the use of the ant lion optimizer algorithm
description	The electrocardiogram (ECG) signal is susceptible to noise and artifacts and it is essential to remove that noise in order to support any decision making for automatic heart disorder diagnosis systems. In this paper, the use of Ant Lion Optimizer (ALO) for optimizing and identifying the cutoff frequency of the ECG signal for low-pass filtering is investigated. Generally, the spectrums of the ECG signal are extracted from two classes: arrhythmia and supraventricular. Baseline wander is removed by a moving median filter. A dataset of the extracted features of the ECG spectrums is used to train the ALO. The performance of the ALO is investigated. The ALO-identified cutoff frequency is applied to a Finite Impulse Response (FIR) filter and the resulting signal is evaluated against the original clean and conventional filtered ECG signals. The results show that the intelligent ALO-based system successfully denoised the ECG signals more effectively than the conventional method. The accuracy percentage increased by 2%.
format	Article
author	Kiew, Hui Hii Vigneswaran, Narayanamurthy Fahmi, Samsuri
author_facet	Kiew, Hui Hii Vigneswaran, Narayanamurthy Fahmi, Samsuri
author_sort	Kiew, Hui Hii
title	ECG noise reduction with the use of the ant lion optimizer algorithm
title_short	ECG noise reduction with the use of the ant lion optimizer algorithm
title_full	ECG noise reduction with the use of the ant lion optimizer algorithm
title_fullStr	ECG noise reduction with the use of the ant lion optimizer algorithm
title_full_unstemmed	ECG noise reduction with the use of the ant lion optimizer algorithm
title_sort	ecg noise reduction with the use of the ant lion optimizer algorithm
publisher	ETASR
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25845/ http://umpir.ump.edu.my/id/eprint/25845/ http://umpir.ump.edu.my/id/eprint/25845/1/ECG%20noise%20reduction%20with%20the%20use%20of%20the%20ant.pdf
first_indexed	2023-09-18T22:39:54Z
last_indexed	2023-09-18T22:39:54Z
_version_	1777416845228244992

ECG noise reduction with the use of the ant lion optimizer algorithm

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