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Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events
Joint Authors
Ieva, Francesca
Paganoni, Anna Maria
Zanini, Paolo
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Atrial Fibrillation (AF) is the most common cardiac arrhythmia.
It naturally tends to become a chronic condition, and chronic Atrial Fibrillation leads to an increase in the risk of death.
The study of the electrocardiographic signal, and in particular of the tachogram series, is a usual and effective way to investigate the presence of Atrial Fibrillation and to detect when a single event starts and ends.
This work presents a new statistical method to deal with the identification of Atrial Fibrillation events, based on the order identification of the ARIMA models used for describing the RR time series that characterize the different phases of AF (pre-, during, and post-AF).
A simulation study is carried out in order to assess the performance of the proposed method.
Moreover, an application to real data concerning patients affected by Atrial Fibrillation is presented and discussed.
Since the proposed method looks at structural changes of ARIMA models fitted on the RR time series for the AF event with respect to the pre- and post-AF phases, it is able to identify starting and ending points of an AF event even when AF follows or comes before irregular heartbeat time slots.
American Psychological Association (APA)
Ieva, Francesca& Paganoni, Anna Maria& Zanini, Paolo. 2013. Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-466921
Modern Language Association (MLA)
Ieva, Francesca…[et al.]. Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-466921
American Medical Association (AMA)
Ieva, Francesca& Paganoni, Anna Maria& Zanini, Paolo. Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-466921
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466921