Estimation of PQ distance dispersion for atrial fibrillation detection.

Atrial fibrillation ECG processing PQ dispersion Spatio–temporal filtering Spatio–temporal patterns

Journal

Computer methods and programs in biomedicine
ISSN: 1872-7565
Titre abrégé: Comput Methods Programs Biomed
Pays: Ireland
ID NLM: 8506513

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 16 12 2020
accepted: 03 05 2021
pubmed: 7 6 2021
medline: 17 8 2021
entrez: 6 6 2021
Statut: ppublish

Résumé

Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world. It is associated with significantly increased morbidity and mortality. Diagnosis of the disease can be based on the analysis of the electrical atrial activity, on quantification of the heart rate irregularity or on a mixture of the both approaches. Since the amplitude of the atrial waves is small, their analysis can lead to false results. On the other hand, the heart rate based analysis usually leads to many unnecessary warnings. Therefore, our goal is to develop a new method for effective AF detection based on the analysis of the electrical atrial waves. The proposed method employs the fact that there is a lack of repeatable P waves preceding QRS complexes during AF. We apply the operation of spatio-temporal filtering (STF) to magnify and detect the prominent spatio-temporal patterns (STP) within the P waves in multi-channel ECG recordings. Later we measure their distances (PQ) to the succeeding QRS complexes, and we estimate dispersion of the obtained PQ series. For signals with normal sinus rhythm, this dispersion is usually very low, and contrary, for AF it is much raised. This allows for effective discrimination of this cardiologic disorder. Tested on an ECG database consisting of AF cases, normal rhythm cases and cases with normal rhythm restored by the use of cardioversion, the method proposed allowed for AF detection with the accuracy of 98.75% on the basis of both 8-channel and 2-channel signals of 12 s length. When the signals length was decreased to 6 s, the accuracy varied in the range of 95%-97.5% depending on the number of channels and the dispersion measure applied. Our approach allows for high accuracy of atrial fibrillation detection using the analysis of electrical atrial activity. The method can be applied to an early detection of the desease and can advantageously be used to decrease the number of false warnings in systems based on the analysis of the heart rate.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world. It is associated with significantly increased morbidity and mortality. Diagnosis of the disease can be based on the analysis of the electrical atrial activity, on quantification of the heart rate irregularity or on a mixture of the both approaches. Since the amplitude of the atrial waves is small, their analysis can lead to false results. On the other hand, the heart rate based analysis usually leads to many unnecessary warnings. Therefore, our goal is to develop a new method for effective AF detection based on the analysis of the electrical atrial waves.
METHODS METHODS
The proposed method employs the fact that there is a lack of repeatable P waves preceding QRS complexes during AF. We apply the operation of spatio-temporal filtering (STF) to magnify and detect the prominent spatio-temporal patterns (STP) within the P waves in multi-channel ECG recordings. Later we measure their distances (PQ) to the succeeding QRS complexes, and we estimate dispersion of the obtained PQ series. For signals with normal sinus rhythm, this dispersion is usually very low, and contrary, for AF it is much raised. This allows for effective discrimination of this cardiologic disorder.
RESULTS RESULTS
Tested on an ECG database consisting of AF cases, normal rhythm cases and cases with normal rhythm restored by the use of cardioversion, the method proposed allowed for AF detection with the accuracy of 98.75% on the basis of both 8-channel and 2-channel signals of 12 s length. When the signals length was decreased to 6 s, the accuracy varied in the range of 95%-97.5% depending on the number of channels and the dispersion measure applied.
CONCLUSIONS CONCLUSIONS
Our approach allows for high accuracy of atrial fibrillation detection using the analysis of electrical atrial activity. The method can be applied to an early detection of the desease and can advantageously be used to decrease the number of false warnings in systems based on the analysis of the heart rate.

Identifiants

pubmed: 34091101
pii: S0169-2607(21)00241-8
doi: 10.1016/j.cmpb.2021.106167
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106167

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.

Auteurs

Jader Giraldo-Guzmán (J)

Faculty of engineering, Universidad Tecnológica de Bolívar Km 1 Via Turbaco, Cartagena de Indias, 130010, Colombia, USA. Electronic address: jgiraldo@utb.edu.co.

Marian Kotas (M)

Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, Akademicka 16, Gliwice, 44-100, Poland.

Francisco Castells (F)

Instituto ITACA, Universitat Politècnica de València (UPV), Spain.

Sonia H Contreras-Ortiz (SH)

Faculty of engineering, Universidad Tecnológica de Bolívar Km 1 Via Turbaco, Cartagena de Indias, 130010, Colombia, USA.

Miguel Urina-Triana (M)

Faculty of health sciences, Universidad Simón Bolívar Carrera 54 # 64 - 222, Barranquilla,1086, Colombia, USA.

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Classifications MeSH