ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices

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

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Main Authors:	Hii, Kiew Hui, Narayanamurthy, Vigneswaran, 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/25317/ http://umpir.ump.edu.my/id/eprint/25317/ http://umpir.ump.edu.my/id/eprint/25317/7/ECG%20noise%20reduction%20technique%20using%20Antlion%20Optimizer.pdf

id	ump-25317
recordtype	eprints
spelling	ump-253172019-10-08T01:34:09Z http://umpir.ump.edu.my/id/eprint/25317/ ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices Hii, Kiew Hui Narayanamurthy, Vigneswaran Fahmi, Samsuri TK Electrical engineering. Electronics Nuclear engineering The electrocardiogram (ECG) signal is susceptible to noise and artifacts and it is essential to remove the noise in order to support any decision making for specialist and automatic heart disorder diagnosis systems. In this paper, the use of Antlion Optimization (ALO) for optimizing and identifying the cutoff frequercy of 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 using the moving median filter. A dataset of the extracted features of the ECG spectrums is used to train the ALO. The performance of the ALO with various parameters 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 AL0-based system successfully denoised the ECG signals more effectively than the conventional method. The percentage of the accuracy increased by 2%. ETASR 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25317/7/ECG%20noise%20reduction%20technique%20using%20Antlion%20Optimizer.pdf Hii, Kiew Hui and Narayanamurthy, Vigneswaran and Fahmi, Samsuri (2019) ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices. Engineering Technology & Applied Science Research, 9 (4). pp. 4525-4529. ISSN 1792-8036 https://www.etasr.com/index.php/ETASR/article/view/2766
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 Hii, Kiew Hui Narayanamurthy, Vigneswaran Fahmi, Samsuri ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices
description	The electrocardiogram (ECG) signal is susceptible to noise and artifacts and it is essential to remove the noise in order to support any decision making for specialist and automatic heart disorder diagnosis systems. In this paper, the use of Antlion Optimization (ALO) for optimizing and identifying the cutoff frequercy of 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 using the moving median filter. A dataset of the extracted features of the ECG spectrums is used to train the ALO. The performance of the ALO with various parameters 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 AL0-based system successfully denoised the ECG signals more effectively than the conventional method. The percentage of the accuracy increased by 2%.
format	Article
author	Hii, Kiew Hui Narayanamurthy, Vigneswaran Fahmi, Samsuri
author_facet	Hii, Kiew Hui Narayanamurthy, Vigneswaran Fahmi, Samsuri
author_sort	Hii, Kiew Hui
title	ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices
title_short	ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices
title_full	ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices
title_fullStr	ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices
title_full_unstemmed	ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices
title_sort	ecg noise reduction technique using antlion optimizer (alo) for heart rate monitoring devices
publisher	ETASR
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25317/ http://umpir.ump.edu.my/id/eprint/25317/ http://umpir.ump.edu.my/id/eprint/25317/7/ECG%20noise%20reduction%20technique%20using%20Antlion%20Optimizer.pdf
first_indexed	2023-09-18T22:38:49Z
last_indexed	2023-09-18T22:38:49Z
_version_	1777416776558051328

ECG noise reduction technique using Antlion Optimizer (ALO) for heart rate monitoring devices

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