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Treatment of cardiac signal for a modeling by RBF

Published: 26 October 2011 Publication History

Abstract

In telemedicine, the transmission of the cardiac signal or for the diagnosis of an automatic Holter, it is important to model the heartbeat. Our aim in this work is the modeling of the ECG data by neural networks using Radial Base Function RBF. The treatment and cutting of ECG Holter helped us to find the best linear combination of five Gaussians that realizes this model. With a bank of Gaussian functions and using the algorithm Orthogonal Regressive Forward, we achieved an error of 10-4 in the initialization step. The optimization of this modeling is performed by the gradient algorithm.

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R. Andrea and J. Boudy "A comparison of Wavelets Transforms through an HMM based ECG Segmentation and Classification System" IASTED'06 BIOMED conference in Innsbruck, Austria. p. 264--269, February 2006
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M. Kedir-Talha "Modelling of the beat of cardiac signal by Gaussians" Asilomar Conference Montery USA 2010
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C. Nugent and J. Webb "Bi-dimensional Feature Selection of Electrocardiographic Data." Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON '98
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C. Kors and J. Bemmel Classification methods for computerized interpretation of the electrocardiogram. Methods of Information in Medicine, 29:330--336, 1990.

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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]

Sponsors

  • 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. ECG
  2. OFR
  3. RBF
  4. modeling
  5. neural networks

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  • Research-article

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

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