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Paroxysmal atrial fibrillation prediction using Kalman Filter

Published: 26 October 2011 Publication History

Abstract

In this paper, we proposed a method based on Kalman Filter for predicting the onset of paroxysmal atrial fibrillation (PAF) from the electrocardiogram (ECG) using clinical data available from the Computers in Cardiology (CinC) Challenge 2001. To predict PAF, we developed an algorithm based upon the number of atrial premature complexes (APCs) in the ECG. The algorithm detects classical isolated APCs by monitoring fidelity signals, which is defined here as a function of the innovation signal of Kalman filter, in vicinity of premature heartbeats and decides whether one beat is APC or not then predicts PAF, based on the number of APC. The challenge database consists of 56 pairs of 30-minute ECG segments that may or may not directly precede an episode of PAF. We used the learning set of the challenge database to optimize our algorithm. On the test set, it achieved 50 out of 56 for PAF prediction and thus predicted the onset of PAF more accurately than the methods reported at CinC challenge.

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Cited By

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  • (2012)Prediction of Paroxysmal Atrial Fibrillation using Empirical Mode Decomposition and RR intervals2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences10.1109/IECBES.2012.6498147(750-754)Online publication date: Dec-2012

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. APC
  2. ECG
  3. Kalman filter
  4. arrhythmia prediction

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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  • (2012)Prediction of Paroxysmal Atrial Fibrillation using Empirical Mode Decomposition and RR intervals2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences10.1109/IECBES.2012.6498147(750-754)Online publication date: Dec-2012

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