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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)
Author(s) -
Georgieva Antoniya,
Abry Patrice,
Chudáček Václav,
Djurić Petar M.,
Frasch Martin G.,
Kok René,
Lear Christopher A.,
Lemmens Sebastiaan N.,
Nunes Inês,
Papageorghiou Aris T.,
Quirk Gerald J.,
Redman Christopher W. G.,
Schifrin Barry,
Spilka Jiri,
Ugwumadu Austin,
Vullings Rik
Publication year - 2019
Publication title -
acta obstetricia et gynecologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 102
eISSN - 1600-0412
pISSN - 0001-6349
DOI - 10.1111/aogs.13639
Subject(s) - medicine , cardiotocography , fetal monitoring , clinical trial , fetal heart rate , clinical practice , randomized controlled trial , intensive care medicine , medical physics , artificial intelligence , data science , fetus , computer science , pregnancy , pathology , physical therapy , heart rate , genetics , blood pressure , biology
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.

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