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A Non-invasive Method for Premature Sudden Cardiac Death Detection: A Proposal Framework

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Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1485))

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Abstract

Sudden Cardiac Death is considered one of the main cause of mortality worldwide. The incomprehensible nature of this cardiac disease increases the necessity to develop new methods to predict this pathology. According to the literature review, several methods to predict SCD have been developed using Heart Rate Variability (HRV) and T-wave alternans (TWA). HRV has been extensively studied and it is considered as index in the cardiovascular risk stratification. On the other hand, T-wave alternans has been considered an important, non-invasive, very promising indicator to stratify the risk of sudden cardiac death. In this context, based on HRV and TWA as a risk stratification indices, this article proposes a research framework to stratify and predict the Sudden Cardiac Death (SCD) disease using non-invasive methods, by mixing elements of the HRV and TWA approaches, thus producing an hybrid approach.

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Author information

Authors and Affiliations

  1. Escuela Politécnica Nacional, Departamento de Ciencias de la Computación, Ladrón de Guevara, P.O.Box 17–01-2759, Quito, E11-253, Ecuador

    Nancy Betancourt

  2. Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas - ESPE, Av. General Rumiñahui s/n, Sangolquí, Ecuador

    Nancy Betancourt

  3. Departamento de Eléctrica Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas - ESPE, Av. General Rumiñahui s/n, Sangolquí, Ecuador

    Marco Flores-Calero

  4. Departamento de Matemática, Escuela Politécnica Nacional, Ladrón de Guevara, E11-253, Quito, Ecuador

    Carlos Almeida

Authors
  1. Nancy Betancourt
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  2. Marco Flores-Calero
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  3. Carlos Almeida
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Corresponding author

Correspondence to Nancy Betancourt .

Editor information

Editors and Affiliations

  1. Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

  2. Universidade do Minho, Guimarães, Portugal

    Filipe Portela

  3. Universidade do Minho, Guimarães, Portugal

    Manuel Filipe Santos

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Betancourt, N., Flores-Calero, M., Almeida, C. (2021). A Non-invasive Method for Premature Sudden Cardiac Death Detection: A Proposal Framework. In: Guarda, T., Portela, F., Santos, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2021. Communications in Computer and Information Science, vol 1485. Springer, Cham. https://doi.org/10.1007/978-3-030-90241-4_5

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  • DOI: https://doi.org/10.1007/978-3-030-90241-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90240-7

  • Online ISBN: 978-3-030-90241-4

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