Fetal monitoring — Present and future: the evaluation of fetal heart rate patterns

Geijn, H.P. van

doi:10.1016/0028-2243(87)90182-1

Cited by 9 publications

(3 citation statements)

References 1 publication

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“…The interpretation of cardiograms is not completely objective, as shown by comparative studies of the same traces interpreted by different readers [7]. The differences between the interpretations corre spond with the 'labelling effect' described by Sackett et al [8] and observed for the diagno sis of hypertension, diabetes mellitus and anorganic systolic murmur.…”

Section: Discussionmentioning

confidence: 96%

Consequences of Misdiagnosis of Intrauterine Growth Retardation for Preterm Elective Cesarean Section

et al. 1993

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We studied the consequences of misdiagnosis of intrauterine growth retardation (IUGR) for preterm elective cesarean section among live singleton newborns in two teaching hospitals in Paris between 1978 and 1983. The population studied comprised the 16,540 babies who were normal for date, according to the 10th percentile of the reference curve established in this population. For 118 of these infants, IUGR had been diagnosed during pregnancy. The preterm elective cesarean section rate was 12.7% among newborns for whom IUGR was erroneously diagnosed, compared to 1.2% among those for whom IUGR was not diagnosed. The relationship between preterm cesarean section and misdiagnosis of IUGR still existed (odds ratio: 5.2, 95% CI: 2.1–12.9) after taking into account obstetric history and hypertension during pregnancy. Our results show that after diagnosis of IUGR, supplementary tests are essential to confirm fetal distress and consequently avoid unnecessary interventions.

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Section: Discussionmentioning

confidence: 96%

Consequences of Misdiagnosis of Intrauterine Growth Retardation for Preterm Elective Cesarean Section

et al. 1993

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“…Unfortunately, it is also often the least precise element, and one that can vary widely from one person to another. Among the large number of examples are the inter‐ and intra‐obstetrician variations in deciding to perform a cesarean section ( 3,8), and the different childbirth options that obstetricians would choose for themselves ( 9). It is well known that pregnant women and their caregivers can perceive the value of a particular outcome differently.…”

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confidence: 99%

Differences in the Valuation of Birth Outcomes Among Pregnant Women, Mothers, and Obstetricians

Vandenbussche

Jong-Potjer

Stiggelbout

et al. 1999

Birth

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“…Briefly, the maximum likelihood estimate(MLE) 0 is the value of 0 that maximises log-likelihood L for a particular set of observations z. L is defined as, L =L{OIz}=lnl(OIz)xlnp(zIO), (2) where I is likelihood of 0, given the observation z, and p is the conditional joint probability density function. The likelihood is defined to be proportional to the value of probability density function of the observations given the parameters.…”

Section: Model Fittingmentioning

confidence: 99%

<title>Stochastic time series analysis of fetal heart-rate variability</title>

Shariati

Dripps

1990

SPIE Proceedings

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Fetal Heart Rate(FHR) is one of the important features of fetal biophysical activity and its long term monitoring is used for the antepartum(period of pregnancy before labour) assessment of fetal well being. But as yet no successful method has been proposed to quantitatively represent variety of random, non-white patterns seen in FHR. Objective of this paper is to address this issue. In this study, the Box-Jenkins method of model identification and diagnostic checking was used on phonocardiographic derived FHR(averaged) time series. Models remained exclusively autoregressive(AR). Kalman filtering in conjunction with maximum likelihood estimation technique forms the parametric estimator. Diagnosrics perfonned on the residuals indicated that a second order model may be adequate in capturing type of variability observed in 1 up to 2 mm data windows of FHR. The scheme may be viewed as a means of data reduction of a highly redundant information source. This allows, a much more efficient transmission of FHR information from remote locations to places with facilities and expertise for doser analysis. The extracted parameters is aimed to reflect numerically the important FHR features. These are normally picked up visually by experts for their assessments. As a result long term FHR recorded during antepartum period, could then be screened quantitatively for detection of patterns considered normal or abnonnal.

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Fetal monitoring — Present and future: the evaluation of fetal heart rate patterns

Cited by 9 publications

References 1 publication

Consequences of Misdiagnosis of Intrauterine Growth Retardation for Preterm Elective Cesarean Section

Consequences of Misdiagnosis of Intrauterine Growth Retardation for Preterm Elective Cesarean Section

Differences in the Valuation of Birth Outcomes Among Pregnant Women, Mothers, and Obstetricians

<title>Stochastic time series analysis of fetal heart-rate variability</title>

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