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Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review.
Ribeiro, Maria; Monteiro-Santos, João; Castro, Luísa; Antunes, Luís; Costa-Santos, Cristina; Teixeira, Andreia; Henriques, Teresa S.
Afiliación
  • Ribeiro M; Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal.
  • Monteiro-Santos J; Computer Science Department, Faculty of Sciences, University of Porto, Porto, Portugal.
  • Castro L; Centre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.
  • Antunes L; Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
  • Costa-Santos C; Centre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.
  • Teixeira A; Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
  • Henriques TS; School of Health of Polytechnic of Porto, Porto, Portugal.
Front Med (Lausanne) ; 8: 661226, 2021.
Article en En | MEDLINE | ID: mdl-34917624
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Front Med (Lausanne) Año: 2021 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Front Med (Lausanne) Año: 2021 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Suiza