Computerized analysis of antepartum fetal heart rate tracings in normal pregnancies (version 88/2.29)

Beksaç, Mehmet Sinan; Karakaş, Ümit; Yalçin, Serpil; Özdemir, Kadir; Şanlitürk, Erol

doi:10.1016/0028-2243(90)90105-a

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…However, the longitudinal changes of FHR throughout gestation in normal fetuses, have not been fully characterized. To date, most studies have been cross‐sectional , and the few longitudinal studies included a very small number of cases , and/or the data were analyzed transversally . In many studies only one or a few FHR parameters were analyzed , a limited gestational age period was evaluated , or visual analysis was used .…”

Section: Introductionmentioning

confidence: 99%

Longitudinal evaluation of computerized cardiotocographic parameters throughout pregnancy in normal fetuses: a prospective cohort study

Amorim-Costa

Costa-Santos

Ayres-de-Campos

et al. 2016

Acta Obstet Gynecol Scand

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Introduction. The longitudinal cardiotocographic (CTG) changes throughout pregnancy in normal fetuses have never been fully described. We aimed at characterizing the evolution of CTG parameters in healthy fetuses, from 24 to 41 weeks of gestation. Material and methods. A prospective cohort study was conducted in singleton fetuses without structural abnormalities on second-trimester ultrasound. At least one CTG was performed in each of the following intervals: 24-26 weeks

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Section: Introductionmentioning

confidence: 99%

Longitudinal evaluation of computerized cardiotocographic parameters throughout pregnancy in normal fetuses: a prospective cohort study

Amorim-Costa

Costa-Santos

Ayres-de-Campos

et al. 2016

Acta Obstet Gynecol Scand

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“…Systems for interpretation of antenatal CTG have been used in clinical practice (Beksac et al 1990; Dawes et al 1991) for the identification of features, such as basal FHR, heart rate variability and accelerations. Although some correlation between these features and other changes in fetal physiology has been shown (Van Woerden et al 1990; Dawes et al 1992) a predictive capability for perinatal outcome could not be demonstrated.…”

mentioning

confidence: 99%

The prediction of fetal acidosis at birth by computerised analysis of intrapartum cardiotocography

Chung

Mohajer

Yang

et al. 1995

BJOG

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Objective To assess the capability of a computer software interpretation program, using intrapartum fetal heart rate and intrauterine pressure as recorded in a cardiotocogram to predict fetal acidosis at birth. Design and subjects A retrospective analysis of digitised fetal heart rate and uterine activity values obtained from 73 high risk women in labour. Setting Two university teaching hospitals. Methods A computer software program was constructed to analyse the digitised data and predict acidosis. The results of the analysis were compared with actual umbilical arterial blood pH and base excess at delivery. Results The software cardiotocogram interpreter was able to predict a pH of less than 7.15 with an accuracy of 77%, a sensitivity of 88% and specificity of 75% in this set of data. It was able to predict a base excess of less than –8 mmol/1 with an accuracy of 81%, a sensitivity of 76% and specificity of 82%. Conclusions A computerised method of analysing fetal heart rate and uterine activity using a simple algorithm has demonstrated a capability to predict fetal acidosis at the time of delivery. Further research in this area is warranted.

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A Neural Net Learning Algorithm for Design of Cardiotocograph Signal Evaluation Expert System: MYDEARBABY 90/2.47

Karakaş

Pao

Beksac

et al. 1990

Database and Expert Systems Applications

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Computerized analysis of antepartum fetal heart rate tracings in normal pregnancies (version 88/2.29)

Cited by 6 publications

References 19 publications

Longitudinal evaluation of computerized cardiotocographic parameters throughout pregnancy in normal fetuses: a prospective cohort study

Longitudinal evaluation of computerized cardiotocographic parameters throughout pregnancy in normal fetuses: a prospective cohort study

The prediction of fetal acidosis at birth by computerised analysis of intrapartum cardiotocography

A Neural Net Learning Algorithm for Design of Cardiotocograph Signal Evaluation Expert System: MYDEARBABY 90/2.47

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