Literature DB >> 33726745

Fetal heart rate development during labour.

Jarle Urdal1, Kjersti Engan2, Trygve Eftestøl2, Solveig H Haaland3, Benjamin Kamala4,5, Paschal Mdoe6, Hussein Kidanto7, Hege Ersdal8,4.   

Abstract

BACKGROUND: Fresh stillbirths (FSB) and very early neonatal deaths (VEND) are important global challenges with 2.6 million deaths annually. The vast majority of these deaths occur in low- and low-middle income countries. Assessment of the fetal well-being during pregnancy, labour, and birth is normally conducted by monitoring the fetal heart rate (FHR). The heart rate of newborns is reported to increase shortly after birth, but a corresponding trend in how FHR changes just before birth for normal and adverse outcomes has not been studied. In this work, we utilise FHR measurements collected from 3711 labours from a low and low-middle income country to study how the FHR changes towards the end of the labour. The FHR development is also studied in groups defined by the neonatal well-being 24 h after birth.
METHODS: A signal pre-processing method was applied to identify and remove time periods in the FHR signal where the signal is less trustworthy. We suggest an analysis framework to study the FHR development using the median FHR of all measured heart rates within a 10-min window. The FHR trend is found for labours with a normal outcome, neonates still admitted for observation and perinatal mortality, i.e. FSB and VEND. Finally, we study how the spread of the FHR changes over time during labour.
RESULTS: When studying all labours, there is a drop in median FHR from 134 beats per minute (bpm) to 119 bpm the last 150 min before birth. The change in FHR was significant ([Formula: see text]) using Wilcoxon signed-rank test. A drop in median FHR as well as an increased spread in FHR is observed for all defined outcome groups in the same interval.
CONCLUSION: A significant drop in FHR the last 150 min before birth is seen for all neonates with a normal outcome or still admitted to the NCU at 24 h after birth. The observed earlier and larger drop in the perinatal mortality group may indicate that they struggle to endure the physical strain of labour, and that an earlier intervention could potentially save lives. Due to the low amount of data in the perinatal mortality group, a larger dataset is required to validate the drop for this group.

Entities:  

Keywords:  Fetal heart rate; Perinatal mortality; Signal processing

Mesh:

Year:  2021        PMID: 33726745      PMCID: PMC7962212          DOI: 10.1186/s12938-021-00861-z

Source DB:  PubMed          Journal:  Biomed Eng Online        ISSN: 1475-925X            Impact factor:   2.819


  15 in total

1.  Maternal or fetal heart rate? Avoiding intrapartum misidentification.

Authors:  Michelle L Murray
Journal:  J Obstet Gynecol Neonatal Nurs       Date:  2004 Jan-Feb

2.  Classification of normal and hypoxic fetuses from systems modeling of intrapartum cardiotocography.

Authors:  Philip A Warrick; Emily F Hamilton; Doina Precup; Robert E Kearney
Journal:  IEEE Trans Biomed Eng       Date:  2010-04       Impact factor: 4.538

3.  Heart rate during the first 24 hours in term-born infants.

Authors:  Lars Tveiten; Lien My Diep; Thomas Halvorsen; Trond Markestad
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2021-01-15       Impact factor: 5.747

4.  Comparison of doppler ultrasound and direct electrocardiography acquisition techniques for quantification of fetal heart rate variability.

Authors:  Janusz Jezewski; Janusz Wrobel; Krzysztof Horoba
Journal:  IEEE Trans Biomed Eng       Date:  2006-05       Impact factor: 4.538

5.  Identification of the dynamic relationship between intrapartum uterine pressure and fetal heart rate for normal and hypoxic fetuses.

Authors:  Philip A Warrick; Emily F Hamilton; Doina Precup; Robert E Kearney
Journal:  IEEE Trans Biomed Eng       Date:  2009-02-20       Impact factor: 4.538

6.  Intrapartum heart rate ambiguity: a comparison of cardiotocogram and abdominal fetal electrocardiogram with maternal electrocardiogram.

Authors:  Joscha Reinhard; Barrie R Hayes-Gill; Sven Schiermeier; Hendrike Hatzmann; Tomas M Heinrich; Frank Louwen
Journal:  Gynecol Obstet Invest       Date:  2013-01-17       Impact factor: 2.031

7.  CTG Analyzer: A graphical user interface for cardiotocography.

Authors:  Agnese Sbrollini; Angela Agostinelli; Luca Burattini; Micaela Morettini; Francesco Di Nardo; Sandro Fioretti; Laura Burattini
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2017-07

8.  National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis.

Authors:  Hannah Blencowe; Simon Cousens; Fiorella Bianchi Jassir; Lale Say; Doris Chou; Colin Mathers; Dan Hogan; Suhail Shiekh; Zeshan U Qureshi; Danzhen You; Joy E Lawn
Journal:  Lancet Glob Health       Date:  2016-01-19       Impact factor: 26.763

Review 9.  DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

Authors:  Zhidong Zhao; Yanjun Deng; Yang Zhang; Yefei Zhang; Xiaohong Zhang; Lihuan Shao
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-30       Impact factor: 2.796

Review 10.  Stillbirths: rates, risk factors, and acceleration towards 2030.

Authors:  Joy E Lawn; Hannah Blencowe; Peter Waiswa; Agbessi Amouzou; Colin Mathers; Dan Hogan; Vicki Flenady; J Frederik Frøen; Zeshan U Qureshi; Claire Calderwood; Suhail Shiekh; Fiorella Bianchi Jassir; Danzhen You; Elizabeth M McClure; Matthews Mathai; Simon Cousens
Journal:  Lancet       Date:  2016-01-19       Impact factor: 79.321

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