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ECG Signal Prediction for Destructive Motion Artefacts

  • António Meireles
  • Lino Figueiredo
  • Luís Seabra Lopes
  • Ricardo Anacleto
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 376)

Abstract

This paper addresses the ability of Burg algorithm to predict the ECG signal when it was completely destroyed by motion artefacts. The application focus of this study is portable devices used in telemedicine and healthcare, where the daily activity of patients produces several contact losses and movements of electrodes on the skin. The paper starts with a short analysis of noise sources that affects the ECG signal, followed by the algorithm implementation and the results. The obtained results show that Burg algorithm is a very promising technique to predict the ECG signal for at least three sequential heart beats.

Keywords

Linear prediction ECG Burg algorithm e-Health 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • António Meireles
    • 1
  • Lino Figueiredo
    • 1
  • Luís Seabra Lopes
    • 2
  • Ricardo Anacleto
    • 1
  1. 1.GECAD—Knowledge Engineering and Decision Support Research CenterSchool of Engineering—Polytechnic of PortoPortoPortugal
  2. 2.IEETA—Institute of Electronics and Telematics Engineering of AveiroAveiroPortugal

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