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Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans

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Functional Imaging and Modeling of the Heart (FIMH 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13958))

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Abstract

The signal averaging approach applied to the clinical body surface potential measurements was studied and evaluated for localizing the spontaneous premature ventricular contractions (PVC) on the data of three patients. For each patient, more than 200 beats were extracted from the ECG signal and aligned with respect to the R-peak of the QRS complex. Then, the origin of the PVC was computed from the inversely estimated heart surface potentials and activation times for each individual beat and the averaged one. It was shown that the result from the averaged beat did not differ more than 2 mm from the mean or median of the results from individual beats. Signal averaging of clinical signals leads to reliable results and saves the needed computational time.

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Acknowledgements

This work was supported by TUBITAK (grant no: 120N200), SAS (grant no: 536057), and VEGA (grant no: 2/0109/22).

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Authors and Affiliations

  1. Electrical-Electronics Engineering Department, Middle East Technical University, Ankara, Turkey

    Yesim Serinagaoglu Dogrusoz

  2. Institute of Applied Mathematics, Middle East Technical University, Ankara, Turkey

    Yesim Serinagaoglu Dogrusoz & Nika Rasoolzadeh

  3. Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia

    Beata Ondrusova & Jana Svehlikova

  4. National Institute for Cardiovascular Diseases, Bratislava, Slovakia

    Peter Hlivak

Authors
  1. Yesim Serinagaoglu Dogrusoz
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  2. Nika Rasoolzadeh
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  3. Beata Ondrusova
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  4. Peter Hlivak
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  5. Jana Svehlikova
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Corresponding author

Correspondence to Yesim Serinagaoglu Dogrusoz .

Editor information

Editors and Affiliations

  1. CREATIS, INSA-Lyon, University of Lyon, Lyon, France

    Olivier Bernard

  2. CREATIS, CNRS, University of Lyon, Lyon, France

    Patrick Clarysse

  3. CREATIS, IUF, University of Lyon, Lyon, France

    Nicolas Duchateau

  4. TIMC, Savoie Mont Blanc University, Chambéry, France

    Jacques Ohayon

  5. CREATIS, Jean Monnet University, Saint-Etienne, France

    Magalie Viallon

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Dogrusoz, Y.S., Rasoolzadeh, N., Ondrusova, B., Hlivak, P., Svehlikova, J. (2023). Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans. In: Bernard, O., Clarysse, P., Duchateau, N., Ohayon, J., Viallon, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2023. Lecture Notes in Computer Science, vol 13958. Springer, Cham. https://doi.org/10.1007/978-3-031-35302-4_17

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  • DOI: https://doi.org/10.1007/978-3-031-35302-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35301-7

  • Online ISBN: 978-3-031-35302-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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