The Relationship between P-Wave Morphology and Atrial Fibrillation

The objective of this paper is to develop an efficient P-wave detection algorithm based on the morphology characteristics of arrhythmias using time domain analysis. ECG from normal subjects, and patients with atrial fibrillation were studied. After baseline wander cancellation, power line interferen...

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Main Authors: Ziad T. Al-Dahan, Abbas F. Al-Hashimi, Natiq A. Al-Asady
Format: Article
Language:English
Published: Al-Nahrain Journal for Engineering Sciences 2017-06-01
Series:مجلة النهرين للعلوم الهندسية
Subjects:
Online Access:https://nahje.com/index.php/main/article/view/273
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author Ziad T. Al-Dahan
Abbas F. Al-Hashimi
Natiq A. Al-Asady
author_facet Ziad T. Al-Dahan
Abbas F. Al-Hashimi
Natiq A. Al-Asady
author_sort Ziad T. Al-Dahan
collection DOAJ
description The objective of this paper is to develop an efficient P-wave detection algorithm based on the morphology characteristics of arrhythmias using time domain analysis. ECG from normal subjects, and patients with atrial fibrillation were studied. After baseline wander cancellation, power line interference filtration, the step of QRS detection using the pan- Tompkins algorithm is utilized to calculate R peak which represent the reference point to detect P peak. The algorithm was tested with experiments using MIT-BIH arrhythmia database which included Paroxysmal Atrial Fibrillation PAF prediction challenge, Massachusetts Institute of Technology MIT-BIH normal sinus rhythm, long term Atrial Fibrillation AF and MIT-BIH atrial fibrillation where every P-wave was extracted. The results reveal that the algorithm is accurate and efficient to detect and classify arrhythmias resulted from atrial fibrillation.
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spelling doaj.art-fe36048e68174971b37d4115e59de9c42022-12-21T20:41:10ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622017-06-01203273The Relationship between P-Wave Morphology and Atrial FibrillationZiad T. Al-Dahan0Abbas F. Al-Hashimi1Natiq A. Al-Asady2Medical Engineering Dept., Al-Nahrian UniversityMedical Engineering Dept., Al-Nahrian UniversityMedical Engineering Dept., Al-Nahrian UniversityThe objective of this paper is to develop an efficient P-wave detection algorithm based on the morphology characteristics of arrhythmias using time domain analysis. ECG from normal subjects, and patients with atrial fibrillation were studied. After baseline wander cancellation, power line interference filtration, the step of QRS detection using the pan- Tompkins algorithm is utilized to calculate R peak which represent the reference point to detect P peak. The algorithm was tested with experiments using MIT-BIH arrhythmia database which included Paroxysmal Atrial Fibrillation PAF prediction challenge, Massachusetts Institute of Technology MIT-BIH normal sinus rhythm, long term Atrial Fibrillation AF and MIT-BIH atrial fibrillation where every P-wave was extracted. The results reveal that the algorithm is accurate and efficient to detect and classify arrhythmias resulted from atrial fibrillation.https://nahje.com/index.php/main/article/view/273Atrial FibrillationP-waveQRSECG
spellingShingle Ziad T. Al-Dahan
Abbas F. Al-Hashimi
Natiq A. Al-Asady
The Relationship between P-Wave Morphology and Atrial Fibrillation
مجلة النهرين للعلوم الهندسية
Atrial Fibrillation
P-wave
QRS
ECG
title The Relationship between P-Wave Morphology and Atrial Fibrillation
title_full The Relationship between P-Wave Morphology and Atrial Fibrillation
title_fullStr The Relationship between P-Wave Morphology and Atrial Fibrillation
title_full_unstemmed The Relationship between P-Wave Morphology and Atrial Fibrillation
title_short The Relationship between P-Wave Morphology and Atrial Fibrillation
title_sort relationship between p wave morphology and atrial fibrillation
topic Atrial Fibrillation
P-wave
QRS
ECG
url https://nahje.com/index.php/main/article/view/273
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