Literature DB >> 31792930

Relative accuracy of computerized intrapartum fetal heart rate pattern recognition by ultrasound and abdominal electrocardiogram detection.

Barrie R Hayes-Gill1, Terence R P Martin2, Chong Liu1, Wayne R Cohen3.   

Abstract

INTRODUCTION: Noninvasive fetal heart rate monitoring using transabdominal fetal electrocardiographic detection is now commercially available and has been demonstrated to be an effective alternative to traditional Doppler ultrasonographic techniques. Our objective in this study was to compare the results of computerized identification of fetal heart rate patterns generated by ultrasound-based and transabdominal fetal electrocardiogram-based techniques with simultaneously obtained fetal scalp electrode-derived heart rate information.
MATERIAL AND METHODS: We applied an objective computer-based analysis for recognition of fetal heart rate patterns (Monica Decision Support) to data obtained simultaneously from a direct fetal scalp electrode, Doppler ultrasound, and the abdominal-fetal electrocardiogram techniques. This allowed us to compare over 145 hours of fetal heart rate patterns generated by the external devices with those derived from the scalp electrode in 30 term singleton uncomplicated pregnancies during labor. The direct fetal scalp electrode is considered to be the most accurate and reliable technique used in current clinical practice, and was, therefore, used as the standard for comparison. The program quantified the baseline heart rate, long- and short-term variability. It indicated when an acceleration or deceleration was present and whether it was large or small.
RESULTS: Ultrasound was associated with significantly greater deviations from the fetal scalp electrode results than the abdominal fetal electrocardiogram technique in recognizing the correct baseline heart rate, its variability, and the presence of small and large accelerations and small decelerations. For large decelerations the two external methods were each not significantly different from the scalp electrode results.
CONCLUSIONS: Noninvasive fetal heart rate monitoring using maternal abdominal wall electrodes to detect fetal cardiac activity more reliably reproduced the computerized analysis of heart rate patterns derived from a direct fetal scalp electrode than did traditional ultrasound-based monitoring. Abdominal-fetal electrocardiogram should, therefore, be considered a primary option for externally monitored patients.
© 2019 The Authors. Acta Obstetricia et Gynecologica Scandinavica published by John Wiley & Sons Ltd on behalf of Nordic Federation of Societies of Obstetrics and Gynecology (NFOG).

Entities:  

Keywords:  Doppler ultrasound; electronic fetal monitoring; fetal heart rate monitoring; fetal heart rate variability; fetal scalp electrode; intrapartum fetal heart rate; transabdominal fetal electrocardiogram monitoring

Year:  2019        PMID: 31792930     DOI: 10.1111/aogs.13760

Source DB:  PubMed          Journal:  Acta Obstet Gynecol Scand        ISSN: 0001-6349            Impact factor:   3.636


  3 in total

1.  Ultrasound Doppler fetal heart rate detection algorithm analyzes the correlation between twin selective fetal growth restriction and cord blood SFass fasL level.

Authors:  Qiaohong Cao; Cong Ma; Junbiao Zhu
Journal:  Pak J Med Sci       Date:  2021       Impact factor: 1.088

2.  Heart rate markers for prediction of fetal acidosis in an experimental study on fetal sheep.

Authors:  Louise Ghesquière; C Ternynck; D Sharma; Y Hamoud; R Vanspranghels; L Storme; V Houfflin-Debarge; J De Jonckheere; C Garabedian
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

3.  Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline.

Authors:  Shahad Al-Yousif; Ihab A Najm; Hossam Subhi Talab; Nourah Hasan Al Qahtani; M Alfiras; Osama Ym Al-Rawi; Wisam Subhi Al-Dayyeni; Ali Amer Ahmed Alrawi; Mohannad Jabbar Mnati; Mu'taman Jarrar; Fahad Ghabban; Nael A Al-Shareefi; Mustafa Musa Jaber; Abbadullah H Saleh; Nooritawati Md Tahir; Huda T Najim; Mayada Taher
Journal:  PeerJ Comput Sci       Date:  2022-08-18
  3 in total

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