Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis

Background and Aim: Cardiac electrophysiology study (EPS) is the study of the electrical system of the heart. One of the most common methods of treating cardiac arrhythmias is ablation. The main problem with this method is determination of the position of the heart that must be be ablated. Electroca...

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Main Authors: Fatemeh Mohammadi, Ali Sheikhani, Farbod Razzazi, Alireza Ghorbani Sharif
Format: Article
Language:fas
Published: Kurdistan University of Medical Sciences 2024-01-01
Series:مجله علمی دانشگاه علوم پزشکی کردستان
Subjects:
Online Access:http://sjku.muk.ac.ir/article-1-6973-en.pdf
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author Fatemeh Mohammadi
Ali Sheikhani
Farbod Razzazi
Alireza Ghorbani Sharif
author_facet Fatemeh Mohammadi
Ali Sheikhani
Farbod Razzazi
Alireza Ghorbani Sharif
author_sort Fatemeh Mohammadi
collection DOAJ
description Background and Aim: Cardiac electrophysiology study (EPS) is the study of the electrical system of the heart. One of the most common methods of treating cardiac arrhythmias is ablation. The main problem with this method is determination of the position of the heart that must be be ablated. Electrocardiogram (ECG) signal is used as a non-invasive, safe and fast tool to understand the electrical activity of the heart. The aim of this study was to identify the focal atrial tachycardia ectopic foci based on ECG signal analysis using sparse decomposition algorithm. Materials and Methods: 12-lead ECG signals of 48 patients with focal atrial tachycardia were recorded and stored. After preprocessing the ECG signals, by using Pan-Tompkins algorithm, each pulse of each signal was separated. Sparse coefficients of test data were calculated based on the sparse decomposition algorithm and the test data were classified. 4 anatomical position in the right atrium, one in the septum and 4 anatomical position in the left atrium were considered as 9 classes and the position of the ectopic foci in each test data was determined. Results: At first, the location of the ectopic foci was identified in the right or left atrium, and then the exact anatomical position in each atrium was estimated. The average accuracy of identifying the position of ectopic foci in 5 runs of algorithm was 81.27±2.78. The mean accuracy of identification of ectopic foci was 61.73% in 4 anatomical position of right atrium, 64.05% in septum and 65.16% in 4 anatomical position of left atrium. Conclusion: Based on the findings of the study, the location of the ectopic foci of focal atrial tachycardia can be identified with appropriate accuracy using ECG signal analysis before performing electrophysiological study.
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spelling doaj.art-39b8291b484644149f1c94b35c97734a2024-03-02T09:28:17ZfasKurdistan University of Medical Sciencesمجله علمی دانشگاه علوم پزشکی کردستان1560-652X2345-40402024-01-012861222Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal AnalysisFatemeh Mohammadi0Ali Sheikhani1Farbod Razzazi2Alireza Ghorbani Sharif3 Department of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran Department of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran., Department of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran Cardiologist Interventional Electrophysiologist of The Arrhythmia Center, Tehran, Iran Background and Aim: Cardiac electrophysiology study (EPS) is the study of the electrical system of the heart. One of the most common methods of treating cardiac arrhythmias is ablation. The main problem with this method is determination of the position of the heart that must be be ablated. Electrocardiogram (ECG) signal is used as a non-invasive, safe and fast tool to understand the electrical activity of the heart. The aim of this study was to identify the focal atrial tachycardia ectopic foci based on ECG signal analysis using sparse decomposition algorithm. Materials and Methods: 12-lead ECG signals of 48 patients with focal atrial tachycardia were recorded and stored. After preprocessing the ECG signals, by using Pan-Tompkins algorithm, each pulse of each signal was separated. Sparse coefficients of test data were calculated based on the sparse decomposition algorithm and the test data were classified. 4 anatomical position in the right atrium, one in the septum and 4 anatomical position in the left atrium were considered as 9 classes and the position of the ectopic foci in each test data was determined. Results: At first, the location of the ectopic foci was identified in the right or left atrium, and then the exact anatomical position in each atrium was estimated. The average accuracy of identifying the position of ectopic foci in 5 runs of algorithm was 81.27±2.78. The mean accuracy of identification of ectopic foci was 61.73% in 4 anatomical position of right atrium, 64.05% in septum and 65.16% in 4 anatomical position of left atrium. Conclusion: Based on the findings of the study, the location of the ectopic foci of focal atrial tachycardia can be identified with appropriate accuracy using ECG signal analysis before performing electrophysiological study.http://sjku.muk.ac.ir/article-1-6973-en.pdfheart electrophysiologyablationfocal atrial tachycardia (fat)sparse decomposition algorithm.
spellingShingle Fatemeh Mohammadi
Ali Sheikhani
Farbod Razzazi
Alireza Ghorbani Sharif
Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis
مجله علمی دانشگاه علوم پزشکی کردستان
heart electrophysiology
ablation
focal atrial tachycardia (fat)
sparse decomposition algorithm.
title Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis
title_full Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis
title_fullStr Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis
title_full_unstemmed Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis
title_short Identification of the Ectopic Foci of Focal Atrial Tachycardia (FAT) by Using Electrocardiogram (ECG) Signal Analysis
title_sort identification of the ectopic foci of focal atrial tachycardia fat by using electrocardiogram ecg signal analysis
topic heart electrophysiology
ablation
focal atrial tachycardia (fat)
sparse decomposition algorithm.
url http://sjku.muk.ac.ir/article-1-6973-en.pdf
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AT farbodrazzazi identificationoftheectopicfocioffocalatrialtachycardiafatbyusingelectrocardiogramecgsignalanalysis
AT alirezaghorbanisharif identificationoftheectopicfocioffocalatrialtachycardiafatbyusingelectrocardiogramecgsignalanalysis