Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Sep;98(9):1207-1217.
doi: 10.1111/aogs.13639. Epub 2019 Jun 18.

Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK)

Affiliations

Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK)

Antoniya Georgieva et al. Acta Obstet Gynecol Scand. 2019 Sep.

Abstract

The second Signal Processing and Monitoring in Labor workshop gathered researchers who utilize promising new research strategies and initiatives to tackle the challenges of intrapartum fetal monitoring. The workshop included a series of lectures and discussions focusing on: new algorithms and techniques for cardiotocogoraphy (CTG) and electrocardiogram acquisition and analyses; the results of a CTG evaluation challenge comparing state-of-the-art computerized methods and visual interpretation for the detection of arterial cord pH <7.05 at birth; the lack of consensus about the role of intrapartum acidemia in the etiology of fetal brain injury; the differences between methods for CTG analysis "mimicking" expert clinicians and those derived from "data-driven" analyses; a critical review of the results from two randomized controlled trials testing the former in clinical practice; and relevant insights from modern physiology-based studies. We concluded that the automated algorithms performed comparably to each other and to clinical assessment of the CTG. However, the sensitivity and specificity urgently need to be improved (both computerized and visual assessment). Data-driven CTG evaluation requires further work with large multicenter datasets based on well-defined labor outcomes. And before first tests in the clinic, there are important lessons to be learnt from clinical trials that tested automated algorithms mimicking expert CTG interpretation. In addition, transabdominal fetal electrocardiogram monitoring provides reliable CTG traces and variability estimates; and fetal electrocardiogram waveform analysis is subject to promising new research. There is a clear need for close collaboration between computing and clinical experts. We believe that progress will be possible with multidisciplinary collaborative research.

Keywords: artificial intelligence; cardiotocography; electronic fetal monitoring; health data; hypoxic-ischemic encephalopathy; intrapartum care; sensitivity; specificity.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest

B.N.L. and R. V. are shareholders in Nemo Healthcare BV, the Netherlands. R.K. is employed by Nemo Healthcare BV; M.G. F. is an inventor of related patent application entitled “EEG Monitor of Fetal Health” including U.S. Patent 9,215,999. M.G.F. co-filed a patent for the aECG method referred to in this article. The remaining authors report no conflict of interest.

Figures

Figure 1.
Figure 1.
Overview of the concepts for data-driven CTG analysis.

References

    1. Dhillon SK, Lear CA, Galinsky R, et al. The fetus at the tipping point: modifying the outcome of fetal asphyxia. J Physiol. 2018;596(23):5571–5592. - PMC - PubMed
    1. Schifrin BS. The CTG and the timing and mechanism of fetal neurological injuries. Best Pract Res Clin Obstet Gynaecol. 2004;18(3):437–456. - PubMed
    1. Beard RW, Filshie GM, Knight CA, Roberts GM. The significance of the changes in the continuous fetal heart rate in the first stage of labour. J Obstet Gynaecol Br Commonw. 1971;78(10):865–881. - PubMed
    1. Cahill AG, Tuuli MG, Stout MJ, Lopez JD, Macones GA. A prospective cohort study of fetal heart rate monitoring: Deceleration area is predictive of fetal acidemia. Am J Obstet Gynecol. 2018;218(5):523.e1–523.e12. - PMC - PubMed
    1. Georgieva A, Redman CWG, Papageorghiou AT. Computerized data-driven interpretation of the intrapartum cardiotocogram: a cohort study. Acta Obstet Gynecol Scand. 2017;96(7):883–891. - PubMed

Publication types