Literature DB >> 18271079

Has electronic fetal heart rate monitoring made a difference.

Philip J Steer1.   

Abstract

Electronic fetal heart rate monitoring (EFHRM) has revolutionised our understanding of the function of the cardiovascular system of the fetus during labour, and how the fetus responds to hypoxia. However, although it is a sensitive technique for the detection of hypoxia during labour, it is relatively non-specific for detecting the development of acidosis. Moreover, it is highly dependent on accurate interpretation of fetal heart rate (FHR) patterns, which has been shown to be commonly of a low standard in everyday clinical practice. Use of EFHRM has probably reduced the incidence of birth asphyxia, but it has also contributed to the rise in the caesarean section rate. Ancillary techniques, such as pulse oximetry, have not proved useful, although ST-segment analysis of the ECG waveform shows some promise. Computerised expert systems for the analysis of FHR patterns may be more successful at avoiding poor outcomes.

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Year:  2008        PMID: 18271079     DOI: 10.1016/j.siny.2007.09.005

Source DB:  PubMed          Journal:  Semin Fetal Neonatal Med        ISSN: 1744-165X            Impact factor:   3.926


  5 in total

Review 1.  Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring.

Authors:  Faezeh Marzbanrad; Lisa Stroux; Gari D Clifford
Journal:  Physiol Meas       Date:  2018-08-14       Impact factor: 2.833

2.  Investigating pH based evaluation of fetal heart rate (FHR) recordings.

Authors:  George Georgoulas; Petros Karvelis; Jiří Spilka; Václav Chudáček; Chrysostomos D Stylios; Lenka Lhotská
Journal:  Health Technol (Berl)       Date:  2017-07-04

3.  A Comprehensive Feature Analysis of the Fetal Heart Rate Signal for the Intelligent Assessment of Fetal State.

Authors:  Zhidong Zhao; Yang Zhang; Yanjun Deng
Journal:  J Clin Med       Date:  2018-08-20       Impact factor: 4.241

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

Authors:  Maria Ribeiro; João Monteiro-Santos; Luísa Castro; Luís Antunes; Cristina Costa-Santos; Andreia Teixeira; Teresa S Henriques
Journal:  Front Med (Lausanne)       Date:  2021-11-30

Review 5.  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

  5 in total

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