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What Machine Learning (ML) Can Bring to the Electrocardiogram (ECG) Signal: A Review

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Proceedings of Seventh International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 465))

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Abstract

The research papers for ML dealing with ECGs signal have been greatly increased during the past years. This is mainly happened because of the significant number of datasets that were set to public. This review presents a study on the deep learning (DL) methods applied to the ECG records. The contribution of this review compared to other research reviews is that it does not focus on a specific area but covers several studies that address the use of ECG in different areas. So, it covers a high number of papers; more than 540 papers were studied; papers studied was published in PubMed between 2016 and December 2021. It presents various used MLs, tasks requested by experts, datasets and other important comparison data used in the last 5 years. The limitations of different analyzed works are discussed. Also, opportunities are highlighted in the process of MLs applied to ECGs signals. This review could be beneficial for researchers to analyze the existing literature review of MLs applications on ECG signals.

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Authors and Affiliations

  1. Mohammed V University in Rabat, Rabat, Morocco

    Jaouad Chennouf & Raddouane Chiheb

Authors
  1. Jaouad Chennouf
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  2. Raddouane Chiheb
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Corresponding author

Correspondence to Jaouad Chennouf .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. The University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chennouf, J., Chiheb, R. (2023). What Machine Learning (ML) Can Bring to the Electrocardiogram (ECG) Signal: A Review. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 465. Springer, Singapore. https://doi.org/10.1007/978-981-19-2397-5_7

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  • DOI: https://doi.org/10.1007/978-981-19-2397-5_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2396-8

  • Online ISBN: 978-981-19-2397-5

  • eBook Packages: EngineeringEngineering (R0)

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