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Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias

The electrocardiogram (ECG) has significant clinical importance for analyzing most cardiovascular diseases. ECGs beat morphologies, beat durations, and amplitudes vary from subject to subject and diseases to diseases. Therefore, ECG morphology-based modeling has long-standing research interests. Thi...

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Autores principales: Awal, Md. Abdul, Mostafa, Sheikh Shanawaz, Ahmad, Mohiuddin, Alahe, Mohammad Ashik, Rashid, Mohd Abdur, Kouzani, Abbas Z., Mahmud, M. A. Parvez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956726/
https://www.ncbi.nlm.nih.gov/pubmed/33652721
http://dx.doi.org/10.3390/s21051638
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author Awal, Md. Abdul
Mostafa, Sheikh Shanawaz
Ahmad, Mohiuddin
Alahe, Mohammad Ashik
Rashid, Mohd Abdur
Kouzani, Abbas Z.
Mahmud, M. A. Parvez
author_facet Awal, Md. Abdul
Mostafa, Sheikh Shanawaz
Ahmad, Mohiuddin
Alahe, Mohammad Ashik
Rashid, Mohd Abdur
Kouzani, Abbas Z.
Mahmud, M. A. Parvez
author_sort Awal, Md. Abdul
collection PubMed
description The electrocardiogram (ECG) has significant clinical importance for analyzing most cardiovascular diseases. ECGs beat morphologies, beat durations, and amplitudes vary from subject to subject and diseases to diseases. Therefore, ECG morphology-based modeling has long-standing research interests. This work aims to develop a simplified ECG model based on a minimum number of parameters that could correctly represent ECG morphology in different cardiac dysrhythmias. A simple mathematical model based on the sum of two Gaussian functions is proposed. However, fitting more than one Gaussian function in a deterministic way has accuracy and localization problems. To solve these fitting problems, two hybrid optimization methods have been developed to select the optimal ECG model parameters. The first method is the combination of an approximation and global search technique (ApproxiGlo), and the second method is the combination of an approximation and multi-start search technique (ApproxiMul). The proposed model and optimization methods have been applied to real ECGs in different cardiac dysrhythmias, and the effectiveness of the model performance was measured in time, frequency, and the time-frequency domain. The model fit different types of ECG beats representing different cardiac dysrhythmias with high correlation coefficients (>0.98). Compared to the nonlinear fitting method, ApproxiGlo and ApproxiMul are 3.32 and 7.88 times better in terms of root mean square error (RMSE), respectively. Regarding optimization, the ApproxiMul performs better than the ApproxiGlo method in many metrics. Different uses of this model are possible, such as a syntactic ECG generator using a graphical user interface has been developed and tested. In addition, the model can be used as a lossy compression with a variable compression rate. A compression ratio of 20:1 can be achieved with 1 kHz sampling frequency and 75 beats per minute. These optimization methods can be used in different engineering fields where the sum of Gaussians is used.
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spelling pubmed-79567262021-03-16 Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias Awal, Md. Abdul Mostafa, Sheikh Shanawaz Ahmad, Mohiuddin Alahe, Mohammad Ashik Rashid, Mohd Abdur Kouzani, Abbas Z. Mahmud, M. A. Parvez Sensors (Basel) Article The electrocardiogram (ECG) has significant clinical importance for analyzing most cardiovascular diseases. ECGs beat morphologies, beat durations, and amplitudes vary from subject to subject and diseases to diseases. Therefore, ECG morphology-based modeling has long-standing research interests. This work aims to develop a simplified ECG model based on a minimum number of parameters that could correctly represent ECG morphology in different cardiac dysrhythmias. A simple mathematical model based on the sum of two Gaussian functions is proposed. However, fitting more than one Gaussian function in a deterministic way has accuracy and localization problems. To solve these fitting problems, two hybrid optimization methods have been developed to select the optimal ECG model parameters. The first method is the combination of an approximation and global search technique (ApproxiGlo), and the second method is the combination of an approximation and multi-start search technique (ApproxiMul). The proposed model and optimization methods have been applied to real ECGs in different cardiac dysrhythmias, and the effectiveness of the model performance was measured in time, frequency, and the time-frequency domain. The model fit different types of ECG beats representing different cardiac dysrhythmias with high correlation coefficients (>0.98). Compared to the nonlinear fitting method, ApproxiGlo and ApproxiMul are 3.32 and 7.88 times better in terms of root mean square error (RMSE), respectively. Regarding optimization, the ApproxiMul performs better than the ApproxiGlo method in many metrics. Different uses of this model are possible, such as a syntactic ECG generator using a graphical user interface has been developed and tested. In addition, the model can be used as a lossy compression with a variable compression rate. A compression ratio of 20:1 can be achieved with 1 kHz sampling frequency and 75 beats per minute. These optimization methods can be used in different engineering fields where the sum of Gaussians is used. MDPI 2021-02-26 /pmc/articles/PMC7956726/ /pubmed/33652721 http://dx.doi.org/10.3390/s21051638 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Awal, Md. Abdul
Mostafa, Sheikh Shanawaz
Ahmad, Mohiuddin
Alahe, Mohammad Ashik
Rashid, Mohd Abdur
Kouzani, Abbas Z.
Mahmud, M. A. Parvez
Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
title Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
title_full Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
title_fullStr Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
title_full_unstemmed Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
title_short Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
title_sort design and optimization of ecg modeling for generating different cardiac dysrhythmias
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956726/
https://www.ncbi.nlm.nih.gov/pubmed/33652721
http://dx.doi.org/10.3390/s21051638
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