Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review

Data de publicação:

Autores da FMUP

  • Cristina Maria Nogueira Da Costa Santos

    Autor

  • Andreia Sofia Costa Teixeira

    Autor

  • Teresa Sarmento Henriques

    Autor

Participantes de fora da FMUP

  • Ribeiro, M
  • Monteiro Santos, J
  • Castro, M.
  • Antunes, L.

Unidades de investigação

Abstract

The analysis of fetal heart rate variability has served as a scientific and diagnostic tool to quantify cardiac activity fluctuations, being good indicators of fetal well-being. Many mathematical analyses were proposed to evaluate fetal heart rate variability. We focused on non-linear analysis based on concepts of chaos, fractality, and complexity: entropies, compression, fractal analysis, and wavelets. These methods have been successfully applied in the signal processing phase and increase knowledge about cardiovascular dynamics in healthy and pathological fetuses. This review summarizes those methods and investigates how non-linear measures are related to each paper's research objectives. Of the 388 articles obtained in the PubMed/Medline database and of the 421 articles in the Web of Science database, 270 articles were included in the review after all exclusion criteria were applied. While approximate entropy is the most used method in classification papers, in signal processing, the most used non-linear method was Daubechies wavelets. The top five primary research objectives covered by the selected papers were detection of signal processing, hypoxia, maturation or gestational age, intrauterine growth restriction, and fetal distress. This review shows that non-linear indices can be used to assess numerous prenatal conditions. However, they are not yet applied in clinical practice due to some critical concerns. Some studies show that the combination of several linear and non-linear indices would be ideal for improving the analysis of the fetus's well-being. Future studies should narrow the research question so a meta-analysis could be performed, probing the indices' performance.

Dados da publicação

ISSN/ISSNe:
2296-858X, 2296-858X

Frontiers in Medicine  Frontiers Media S.A.

Tipo:
Review
Páginas:
-
Link para outro recurso:
www.scopus.com

Citações Recebidas na Web of Science: 8

Citações Recebidas na Scopus: 13

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Keywords

  • fetal heart rate; non-linear methods; entropy; data compression; fractal analysis; wavelet analysis; systematic review

Financiamento

Proyectos asociados

COVID-19: Monitorizar e planear com base no risco.

Investigador Principal: Cristina Maria Nogueira da Costa Santos

Estudo Observacional Académico (COVID-19) . 2020

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