Literature DB >> 20121542

Comparison of a computer system evaluation of intrapartum cardiotocographic events and a consensus of clinicians.

Maria Antónia Costa1, Diogo Ayres-de-Campos, Ana P Machado, Cristina C Santos, João Bernardes.   

Abstract

AIMS: To compare between computer analysis of intrapartum cardiotocography (CTG) features by the Omniview-SisPorto 3.5 and a consensus of clinicians.
METHODS: Agreement study using 50 consecutively acquired tracings (206 h of signals) with >60 min duration, <10% signal loss and recorded in labor at term by internal fetal heart rate (FHR) monitoring. Tracings were divided into 10-min segments and independently analyzed by three experienced clinicians, in order to estimate the FHR baseline and identify periodic events. A consensus was reached using a three round Delphi procedure. Results were compared with the analysis provided by the Omniview-SisPorto 3.5 system.
RESULTS: For baseline estimation, agreement between the computer and the consensus was high [intraclass correlation coefficient (ICC)=0.85; 95% confidence interval (CI) 0.46-0.93], with a mean difference of 3.7 bpm (limits of agreement -4.4-11.9 bpm), and 99% of differences under 15 bpm. A concordant identification was observed in 71% of accelerations (95% CI: 69%-73%), 68% of decelerations (95% CI: 66%-70%), and 87% of uterine contractions (95% CI: 85%-89%).
CONCLUSIONS: A high agreement was observed between the Omniview-SisPorto 3.5 and a consensus of clinicians in evaluation of intrapartum CTG baseline, accelerations, decelerations and uterine contractions.

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Year:  2010        PMID: 20121542     DOI: 10.1515/jpm.2010.030

Source DB:  PubMed          Journal:  J Perinat Med        ISSN: 0300-5577            Impact factor:   1.901


  5 in total

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

Authors:  Antoniya Georgieva; Patrice Abry; Václav Chudáček; Petar M Djurić; Martin G Frasch; René Kok; Christopher A Lear; Sebastiaan N Lemmens; Inês Nunes; Aris T Papageorghiou; Gerald J Quirk; Christopher W G Redman; Barry Schifrin; Jiri Spilka; Austin Ugwumadu; Rik Vullings
Journal:  Acta Obstet Gynecol Scand       Date:  2019-06-18       Impact factor: 3.636

2.  Comparison of a novel computerized analysis program and visual interpretation of cardiotocography.

Authors:  Chen-Yu Chen; Chun Yu; Chia-Chen Chang; Chii-Wann Lin
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

3.  Use of Machine Learning Algorithms for Prediction of Fetal Risk using Cardiotocographic Data.

Authors:  Zahra Hoodbhoy; Mohammad Noman; Ayesha Shafique; Ali Nasim; Devyani Chowdhury; Babar Hasan
Journal:  Int J Appl Basic Med Res       Date:  2019-10-11

4.  A randomised clinical trial of intrapartum fetal monitoring with computer analysis and alerts versus previously available monitoring.

Authors:  Diogo Ayres-de-Campos; Austin Ugwumadu; Philip Banfield; Pauline Lynch; Pina Amin; David Horwell; Antonia Costa; Cristina Santos; João Bernardes; Karl Rosen
Journal:  BMC Pregnancy Childbirth       Date:  2010-10-28       Impact factor: 3.007

5.  Improvements in fetal heart rate analysis by the removal of maternal-fetal heart rate ambiguities.

Authors:  Paula Pinto; Cristina Costa-Santos; Hernâni Gonçalves; Diogo Ayres-De-Campos; João Bernardes
Journal:  BMC Pregnancy Childbirth       Date:  2015-11-19       Impact factor: 3.007

  5 in total

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