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ECG Processing for Exercise Test

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Advanced Biosignal Processing

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Abstract

The specificity of processing the ECG signal recorded during an exercise test is analysed. After introducing the interest of such an experiment to catch physiological information, the acquisition protocol is first described. Then new results on heart rate variability estimation, using parametric and non parametric models are given, showing in the time-frequency plane the evolutions of cardiac and respiratory frequencies, together with the pedalling one. Methods for the estimation of PR intervals, when T and P waves are overlapped, are then described, which leads to the enhancement of hysteresis phenomenon for this signal during the phases of exercise and recovery. Finally, the modelling and estimation of shape changes along the test is developed with an application to P waves. The shape changes are modelled by simulation as changes in the relative propagations in the both auricles. In addition, alternatives to the classical signal averaging technique, including signal shape analysis, are discussed.

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Author information

Authors and Affiliations

  1. Laboratory I3S, CNRS/University of Nice-Sophia Antipolis, France

    Olivier Meste

Authors
  1. Olivier Meste
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  2. Hervé Rix
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  3. Grégory Blain
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Editor information

Editors and Affiliations

  1. Labo. Images, Signaux et, Systèmes Intelligents (LISSI) EA 3956, Université Paris 12, av. du Général de Gaille 61, Créteil, 94010, France

    Amine Naït-Ali

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© 2009 Springer-Verlag Berlin Heidelberg

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Meste, O., Rix, H., Blain, G. (2009). ECG Processing for Exercise Test. In: Naït-Ali, A. (eds) Advanced Biosignal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89506-0_3

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  • DOI: https://doi.org/10.1007/978-3-540-89506-0_3

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  • Print ISBN: 978-3-540-89505-3

  • Online ISBN: 978-3-540-89506-0

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