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

Georgieva, A; Abry, P; Chudáček, V; Djurić, PM; Frasch, MG; Kok, R; Lear, CA; Lemmens, SN; Nunes, I; Papageorghiou, AT; et al. Georgieva, A; Abry, P; Chudáček, V; Djurić, PM; Frasch, MG; Kok, R; Lear, CA; Lemmens, SN; Nunes, I; Papageorghiou, AT; Quirk, GJ; Redman, CWG; Schifrin, B; Spilka, J; Ugwumadu, A; Vullings, R (2019) Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK). Acta Obstet Gynecol Scand, 98 (9). pp. 1207-1217. ISSN 1600-0412 https://doi.org/10.1111/aogs.13639
SGUL Authors: Papageorghiou, Aris

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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.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Georgieva, A, Abry, P, Chudáček, V, et al. Computer‐based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK). Acta Obstet Gynecol Scand. 2019; 98: 1207‐ 1217, which has been published in final form at https://doi.org/10.1111/aogs.13639. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Keywords: artificial intelligence, cardiotocography, electronic fetal monitoring, health data, hypoxic-ischemic encephalopathy, intrapartum care, sensitivity, specificity, Acidosis, Algorithms, Cardiotocography, Electrocardiography, Female, Fetal Monitoring, Humans, Pregnancy, Prenatal Diagnosis, Signal Processing, Computer-Assisted, United Kingdom, Humans, Acidosis, Cardiotocography, Electrocardiography, Fetal Monitoring, Prenatal Diagnosis, Pregnancy, Algorithms, Signal Processing, Computer-Assisted, Female, United Kingdom, artificial intelligence, cardiotocography, electronic fetal monitoring, health data, hypoxic-ischemic encephalopathy, intrapartum care, sensitivity, specificity, artificial intelligence, cardiotocography, electronic fetal monitoring, health data, hypoxic-ischemic encephalopathy, intrapartum care, sensitivity, specificity, 1114 Paediatrics and Reproductive Medicine, 1117 Public Health and Health Services, Obstetrics & Reproductive Medicine
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE)
Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Acta Obstet Gynecol Scand
ISSN: 1600-0412
Language: eng
Dates:
DateEvent
25 August 2019Published
18 June 2019Published Online
8 May 2019Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
17/601Health Research Council of New Zealandhttp://dx.doi.org/10.13039/501100001505
UNSPECIFIEDCanadian Institutes of Health Researchhttp://dx.doi.org/10.13039/501100000024
R01 HD097188NICHD NIH HHSUNSPECIFIED
R21 HD080025NICHD NIH HHSUNSPECIFIED
CDF-2016-09-004Department of Healthhttp://dx.doi.org/10.13039/501100000276
CDF-2016-09-004National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
719500European Union HorizonUNSPECIFIED
UNSPECIFIEDInstitute of Human Development, Child and Youth Healthhttp://dx.doi.org/10.13039/501100000031
PubMed ID: 31081113
Web of Science ID: WOS:000484377700017
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112627
Publisher's version: https://doi.org/10.1111/aogs.13639

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