Evidence map›Paper›PMID 34917624›Full record

SynthesisFrontiers in medicine2021

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

Maria Ribeiro, João Monteiro-Santos, Luísa Castro, Luís Antunes, Cristina Costa-Santos, Andreia Teixeira, Teresa S Henriques

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Doppler signal analysis of the tricuspid valve in healthy fetuses during the first trimester: a cohort study.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. A deep learning mixed-data type approach for the classification of FHR signals.Frontiers in bioengineering and biotechnology · 2022
    Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maria RibeiroInstitute for Systems and Computer Engineering, Technology and Science, Porto, Portugal.
João Monteiro-SantosCentre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.
Luísa CastroCentre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.
Luís AntunesInstitute for Systems and Computer Engineering, Technology and Science, Porto, Portugal.
Cristina Costa-SantosCentre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.
Andreia TeixeiraCentre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.
Teresa S HenriquesCentre for Health Technology and Services Research, Faculty of Medicine University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

data compressionentropyfetal heart ratefractal analysisnon-linear methodssystematic reviewwavelet analysis

Identifiers

PMID34917624
PMCPMC8669823

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.