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ECG Pre-processing and Feature Extraction Tool for Intelligent Simulation Systems

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Simulation Tools and Techniques (SIMUtools 2023)

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Abstract

Sudden cardiac death events and fatal cardiac problems are a field of vital importance for physicians working with elite athletes. For this reason, it is common to periodically perform cardiac monitoring with professional ECG devices to detect certain risk markers. As these doctors often work with many athletes (as is the case with professional football teams), an artificial intelligence-based system would help mass screening and allow these exams to be carried out more regularly. Because physicians often evaluate the printed reports generated by ECG devices, few manufacturers provide powerful and configurable software tools. Moreover, for teaching purposes, a simulation tool that would allow working with previously collected ECG files would be very useful. In this paper, we present a software tool to be used with General Electric CardioSoft 12SL electrocardiograph. This tool allows importing the XML files generated by this device, perform a manual or automatic signal filtering process and PQRST peak detection, and finally generate a customisable report as a CSV file containing the features obtained after signal analysis. This pre-processed information can be used as input of ECG simulators and in artificial intelligence systems to develop diagnostic support systems.

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Notes

  1. 1.

    https://github.com/mjdominguez/ECGVisualizer/tree/main/ECGVisualizer/documentation.

  2. 2.

    https://github.com/dradolfomunoz/PF12RED.

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Acknowledgements

This work is part of the project SANEVEC TED2021-130825B-I00, funded by the Ministerio de Ciencia e Innovación (MCIN), Agencia Estatal de Investigación (AEI) of Spain, MCIN/AEI/10.13039/501100011033, and by the European Union NextGenerationEU/PRTR. We also want to thank the professional UEFA football players and the team from La Liga EA SPORTS involved in the collected dataset for allowing us to work with the information from their electrocardiograms.

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Authors and Affiliations

  1. Architecture and Computer Technology Department, E.T.S. Ingeniería Informática, Universidad de Sevilla, Sevilla, Spain

    Manuel Domínguez-Morales & José L. Sevillano

  2. Computer Science Research Institute, Universidad de Sevilla, Sevilla, Spain

    Manuel Domínguez-Morales & José L. Sevillano

  3. Performance and Medical Department at RCD Mallorca SAD, Palma de Mallorca, Spain

    Adolfo Muñoz-Macho

Authors
  1. Manuel Domínguez-Morales
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  2. Adolfo Muñoz-Macho
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  3. José L. Sevillano
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Corresponding author

Correspondence to Manuel Domínguez-Morales .

Editor information

Editors and Affiliations

  1. Universidad de Sevilla, Sevilla, Spain

    José-Luis Guisado-Lizar

  2. Universidad de Sevilla, Sevilla, Sevilla, Spain

    Agustín Riscos-Núñez

  3. Universidad de Sevilla, Sevilla, Spain

    María-José Morón-Fernández

  4. Carleton University, Ottawa, IL, USA

    Gabriel Wainer

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Domínguez-Morales, M., Muñoz-Macho, A., Sevillano, J.L. (2024). ECG Pre-processing and Feature Extraction Tool for Intelligent Simulation Systems. In: Guisado-Lizar, JL., Riscos-Núñez, A., Morón-Fernández, MJ., Wainer, G. (eds) Simulation Tools and Techniques. SIMUtools 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-031-57523-5_16

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  • DOI: https://doi.org/10.1007/978-3-031-57523-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-57522-8

  • Online ISBN: 978-3-031-57523-5

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