Computerized fetal heart rate analysis in labor: detection of intervals with un-assignable baseline

The fetal heart rate (FHR) is monitored during labor to assess fetal health. Both visual and computerized interpretations of the FHR depend on assigning a baseline to detect key features such as accelerations or decelerations. However, it is sometimes impossible to assign a baseline reliably, by eye or by numerical methods. To address this issue, we used the Oxford Intrapartum FHR Database to derive an algorithm based on the distribution of the FHR that detects heart rate intervals without a clear baseline. We aimed to recognize when a fetus cannot maintain its heart rate baseline and use this to assist computerized FHR analysis. Twenty-three FHR windows (15 min long) were used to develop the method. The algorithm was then validated by comparison with experts who classified 50 FHR windows into two groups: baseline assignable or un-assignable. The average agreement between experts (κ = 0.76) was comparable to the agreement between method and experts (κ = 0.67). The algorithm was used in 22 559 patients with intrapartum FHR records to retrospectively determine the incidence of intervals (defined as 15 min windows) that had un-assignable baselines. Sixty-six percent had one or more such episodes at some stage, most commonly after the onset of pushing (55%) and least commonly pre-labor (16%). These episodes are therefore relatively common. Their detection should improve the reliability of computerized analysis and allow further studies of what they signify clinically.

[1]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[2]  F. Mosteller,et al.  Understanding robust and exploratory data analysis , 1985 .

[3]  Frederick Mosteller,et al.  Understanding Robust and Exploratory Data Analysis. , 1983 .

[4]  G S Dawes,et al.  Limitations of antenatal fetal heart rate monitors. , 1990, American journal of obstetrics and gynecology.

[5]  C. Redman,et al.  Communicating the significance of the fetal heart rate record to the user , 1993, British journal of obstetrics and gynaecology.

[6]  E. Hamilton,et al.  Intrapartum prediction of fetal status and assessment of labour progress. , 1994, Bailliere's clinical obstetrics and gynaecology.

[7]  R D Keith,et al.  A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogram , 1995, British journal of obstetrics and gynaecology.

[8]  R. Keith,et al.  A multi-center comparative study of 17 experts and an intelligent computer system for managing labor using the cardiotocogram , 1996 .

[9]  A Costa-Pereira,et al.  A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogram , 1996, British journal of obstetrics and gynaecology.

[10]  K. Greene,et al.  ELECTRONIC FETAL HEART RATE MONITORING : RESEARCH GUIDELINES FOR INTERPRETATION. AUTHOR'S REPLY , 1997 .

[11]  J. Parer,et al.  Electronic fetal heart rate monitoring: research guidelines for interpretation. The National Institute of Child Health and Human Development Research Planning Workshop. , 1997, Journal of obstetric, gynecologic, and neonatal nursing : JOGNN.

[12]  A. Bowman,et al.  Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations , 1999 .

[13]  Richard D. Deveaux,et al.  Applied Smoothing Techniques for Data Analysis , 1999, Technometrics.

[14]  Tom K.A.B. Eskes Fetal Heart Rate Monitoring , 2003 .

[15]  Diogo Ayres-de-Campos,et al.  Can the reproducibility of fetal heart rate baseline estimation be improved? , 2004, European journal of obstetrics, gynecology, and reproductive biology.

[16]  B. Schifrin,et al.  The CTG and the timing and mechanism of fetal neurological injuries. , 2004, Best practice & research. Clinical obstetrics & gynaecology.

[17]  João Bernardes,et al.  Comparison of fetal heart rate baseline estimation by SisPorto 2.01 and a consensus of clinicians. , 2004, European journal of obstetrics, gynecology, and reproductive biology.

[18]  E. Graham,et al.  Intrapartum Electronic Fetal Heart Rate Monitoring and the Prevention of Perinatal Brain Injury , 2006, Obstetrics and gynecology.

[19]  B. Stenson,et al.  Use of umbilical cord blood gas analysis in the assessment of the newborn , 2007, Archives of Disease in Childhood Fetal and Neonatal Edition.

[20]  David Parry,et al.  Medical Informatics in Obstetrics and Gynecology , 2008 .

[21]  Doina Precup,et al.  Identification of the Dynamic Relationship Between Intrapartum Uterine Pressure and Fetal Heart Rate for Normal and Hypoxic Fetuses , 2009, IEEE Transactions on Biomedical Engineering.

[22]  Maria Romano,et al.  Comparison of short term variability indexes in cardiotocographic foetal monitoring , 2009, Comput. Biol. Medicine.

[23]  João Bernardes,et al.  Comparison of a computer system evaluation of intrapartum cardiotocographic events and a consensus of clinicians , 2010, Journal of perinatal medicine.

[24]  A. Fanaroff,et al.  Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals , 2010 .

[25]  D. Streiner,et al.  Guidelines for Reporting Reliability and Agreement Studies (GRRAS). , 2011, International journal of nursing studies.

[26]  A. Hrõbjartsson,et al.  Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. , 2011, Journal of clinical epidemiology.

[27]  Lisa A. Miller,et al.  Comprar Fetal Heart Rate Monitoring (Online And Print) 4th Ed. | Roger K. Freeman | 9781451116632 | Lippincott Williams & Wilkins , 2012 .