Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG

M. Arvaneh; H. Ahmadi; A. Azemi; M. Shajiee; Z. S. Dastgheib

doi:10.1109/ICBPE.2009.5384063

Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG

M. Arvaneh, H. Ahmadi, A. Azemi, M. Shajiee, Z. S. Dastgheib

Penn State Brandywine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In this work, we propose a new method for prediction of Paroxysmal Atrial Fibrillation (PAF) by only using the PR interval of ECG signal. We first obtain a nonlinear structure and parameters of PR interval by a Genetic Programming (GP) based algorithm. Next, we use the neural networks for prediction of PAF. The inputs of the neural networks are the parameters of nonlinear model of the PR intervals. For the modeling and prediction we have limited ourselves to only 30 seconds of an ECG signal, which is one of the advantages of our proposed approach. For comparison purposes, we have modeled 30 seconds of ECG signals by time based modeling method and have compared prediction results of them.

Original language	English (US)
Title of host publication	2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings
DOIs	https://doi.org/10.1109/ICBPE.2009.5384063
State	Published - 2009
Event	2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Singapore, Singapore Duration: Dec 2 2009 → Dec 4 2009

Publication series

Name	2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings

Other

Other	2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009
Country/Territory	Singapore
City	Singapore
Period	12/2/09 → 12/4/09

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Medicine(all)

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10.1109/ICBPE.2009.5384063

Cite this

Arvaneh, M., Ahmadi, H., Azemi, A., Shajiee, M., & Dastgheib, Z. S. (2009). Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG. In 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings Article 5384063 (2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings). https://doi.org/10.1109/ICBPE.2009.5384063

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title = "Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG",

abstract = "In this work, we propose a new method for prediction of Paroxysmal Atrial Fibrillation (PAF) by only using the PR interval of ECG signal. We first obtain a nonlinear structure and parameters of PR interval by a Genetic Programming (GP) based algorithm. Next, we use the neural networks for prediction of PAF. The inputs of the neural networks are the parameters of nonlinear model of the PR intervals. For the modeling and prediction we have limited ourselves to only 30 seconds of an ECG signal, which is one of the advantages of our proposed approach. For comparison purposes, we have modeled 30 seconds of ECG signals by time based modeling method and have compared prediction results of them.",

author = "M. Arvaneh and H. Ahmadi and A. Azemi and M. Shajiee and Dastgheib, {Z. S.}",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 ; Conference date: 02-12-2009 Through 04-12-2009",

year = "2009",

doi = "10.1109/ICBPE.2009.5384063",

language = "English (US)",

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booktitle = "2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings",

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Arvaneh, M, Ahmadi, H, Azemi, A, Shajiee, M & Dastgheib, ZS 2009, Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG. in 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings., 5384063, 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings, 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009, Singapore, Singapore, 12/2/09. https://doi.org/10.1109/ICBPE.2009.5384063

Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG. / Arvaneh, M.; Ahmadi, H.; Azemi, A. et al.
2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. 2009. 5384063 (2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Shajiee, M.

AU - Dastgheib, Z. S.

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N2 - In this work, we propose a new method for prediction of Paroxysmal Atrial Fibrillation (PAF) by only using the PR interval of ECG signal. We first obtain a nonlinear structure and parameters of PR interval by a Genetic Programming (GP) based algorithm. Next, we use the neural networks for prediction of PAF. The inputs of the neural networks are the parameters of nonlinear model of the PR intervals. For the modeling and prediction we have limited ourselves to only 30 seconds of an ECG signal, which is one of the advantages of our proposed approach. For comparison purposes, we have modeled 30 seconds of ECG signals by time based modeling method and have compared prediction results of them.

AB - In this work, we propose a new method for prediction of Paroxysmal Atrial Fibrillation (PAF) by only using the PR interval of ECG signal. We first obtain a nonlinear structure and parameters of PR interval by a Genetic Programming (GP) based algorithm. Next, we use the neural networks for prediction of PAF. The inputs of the neural networks are the parameters of nonlinear model of the PR intervals. For the modeling and prediction we have limited ourselves to only 30 seconds of an ECG signal, which is one of the advantages of our proposed approach. For comparison purposes, we have modeled 30 seconds of ECG signals by time based modeling method and have compared prediction results of them.

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Arvaneh M, Ahmadi H, Azemi A, Shajiee M, Dastgheib ZS. Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG. In 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. 2009. 5384063. (2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings). doi: 10.1109/ICBPE.2009.5384063

Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG

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