The effect of gender, gestational age and behavioral states on fetal heart rate variability

Gonçalves, Hernâni; Ayres-de-Campos, Diogo; Bernardes, João

doi:10.1109/esgco.2014.6847498

Cited by 2 publications

(2 citation statements)

References 11 publications

(18 reference statements)

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“…Moreover, some authors also include in the definition the value of the base excess or base deficit (127). Some authors defined as "at risk of acidemia" when pH < 7.20 (33,47,(128)(129)(130)(131)(132)(133)(134)(135)(136) or pH < 7.15 (30,121,(137)(138)(139)(140)(141)(142)(143); others define when pH < 7.1 (43,126,(144)(145)(146) or even when pH < 7.05 (38,44,48,78,(147)(148)(149)(150)(151)(152)(153)(154)(155)(156)(157)(158)(159)(160)(161)(162)(163)(164)(165)…”

Section: Resultsmentioning

confidence: 99%

“…In fact, an association between individual differences in prenatal heart rate and HRV and postnatal neural development has been reported ( 181 ). Besides these factors, Gonçalves et al ( 131 ) and Spyridou et al ( 182 ) noted that gender also has an effect on fHR analysis and should be considered, while Tagliaferri et al ( 183 ) found differences on both linear and non-linear indices between different ethnic groups. Gender was also shown to influence maternal heart rate (MHR) ( 52 ).…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2021

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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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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

et al. 2021

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Analysis of heart rate variation and foetal quiet sleep cycle correlation for normal and suspicious foetuses

Zhang

Yang

et al. 2018

Biotechnology & Biotechnological Equipment

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Cardiotocography (CTG) is the basic method of monitoring foetal condition in the perinatal period. However, due to the limited insight into the CTG generation mechanism, some CTG recordings can be mistreated as a predictor of neonatal asphyxia, leading to a wrong assessment of the foetal status and improper obstetric intervention. Therefore, in case of suspicious CTG indications, a reliable verification of the true foetal status is vital for reducing the clinical diagnosis false-positive rate and avoiding the unnecessary obstetrician intervention. The paper presents the results obtained for 44 foetuses on the shares of three heart rate variation (HRV) ranges and quiet sleep cycles. This approach uses the parameters of the HRV range shares and quiet sleep cycles to analyse different types of foetuses. The results obtained show that most parameters reveal significant differences between normal and suspicious groups. This is quite lucrative for defining a set of coefficients, whose incorporation into a classifier will improve the accuracy of distinguishing the normal foetuses from suspicious ones.

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The effect of gender, gestational age and behavioral states on fetal heart rate variability

Cited by 2 publications

References 11 publications

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

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

Analysis of heart rate variation and foetal quiet sleep cycle correlation for normal and suspicious foetuses

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