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Heartbeat Classification Based on PCA and CNN

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IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering (CLAIB 2022, CBEB 2022)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 99))

Abstract

This work presents a method for automatic heartbeat classification based on principal component analysis and a convolutional neural network on ECG signals. We developed a database holding the first ten principal components and the relative RR intervals of P-QRS complexes from the MIT-BIH Arrhythmia Database patients. The convolutional neural network was used to obtain a model for classifying heartbeats based on this database. This model was tested and compared to other algorithms existing in the literature, and the results evidenced the relative advantages of the method.

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Acknowledgment

This study was supported by the Brazilian Agencies FINEP, CAPES, and CNPq.

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Authors and Affiliations

  1. Biomedical Engineering Program, University Federal of Rio de Janeiro, Rio de Janeiro, Brazil

    Tatiane C. Ramalho, Carlos A. L. Ortiz, Leonardo A. A. Abrantes & Jurandir Nadal

Authors
  1. Tatiane C. Ramalho
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  2. Carlos A. L. Ortiz
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  3. Leonardo A. A. Abrantes
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  4. Jurandir Nadal
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Corresponding author

Correspondence to Tatiane C. Ramalho .

Editor information

Editors and Affiliations

  1. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Jefferson Luiz Brum Marques

  2. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Cesar Ramos Rodrigues

  3. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Daniela Ota Hisayasu Suzuki

  4. Institute of Biomedical Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    José Marino Neto

  5. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Renato García Ojeda

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The authors declare no conflicts of interest.

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ramalho, T.C., Ortiz, C.A.L., Abrantes, L.A.A., Nadal, J. (2024). Heartbeat Classification Based on PCA and CNN. In: Marques, J.L.B., Rodrigues, C.R., Suzuki, D.O.H., Marino Neto, J., García Ojeda, R. (eds) IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering. CLAIB CBEB 2022 2022. IFMBE Proceedings, vol 99. Springer, Cham. https://doi.org/10.1007/978-3-031-49404-8_32

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  • DOI: https://doi.org/10.1007/978-3-031-49404-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49403-1

  • Online ISBN: 978-3-031-49404-8

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