ReviewBMC pregnancy and childbirth2014
Open access intrapartum CTG database.
Review in BMC pregnancy and childbirth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review of Intrapartum Fetal Heart Rate Spectral Analysis and an Application in the Detection of Fetal Acidemia.Frontiers in pediatrics · 2021Pooled it
- Large-scale analysis of interobserver agreement and reliability in cardiotocography interpretation during labor using an online tool.BMC pregnancy and childbirth · 2024Trial
- Article
- Machine learning based classification in obstetrics: evaluating models, partitioning strategies, and key predictors in cardiotocography.BMC pregnancy and childbirth · 2026Article
- MIRF-Net: A Multimodal Data Fusion Framework for Intrapartum Fetal Risk Assessment.Bioengineering (Basel, Switzerland) · 2026Article
- Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison.BMC medicine · 2026Article
- Randomised study of human machine collaboration for cardiotocography interpretation during labour.NPJ digital medicine · 2026Article
- Predicting Intrapartum Acidemia: A Review of Approaches Based on Fetal Heart Rate.Bioengineering (Basel, Switzerland) · 2026Review
- A multidimensional ensemble pipeline for early detection of IUGR condition through CTG.Frontiers in digital health · 2026Article
- Objective interpretation of intrapartum cardiotocography images using attention-guided convolutional neural networks.Frontiers in pediatrics · 2026Article
- Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis.NPJ digital medicine · 2025Article
- PatchCTG: A Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Comparison and verification of detection accuracy for late deceleration with and without uterine contractions signals using convolutional neural networks.Frontiers in physiology · 2025Article
- Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification.IEEE journal of translational engineering in health and medicine · 2025Article
- Sample Entropy Computation on Signals with Missing Values.Entropy (Basel, Switzerland) · 2024Article
- Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals.Scientific reports · 2024Article
- Construction of a comprehensive fetal monitoring database for the study of perinatal hypoxic ischemic encephalopathy.MethodsX · 2024Article
- Fetal Heart Rate Preprocessing Techniques: A Scoping Review.Bioengineering (Basel, Switzerland) · 2024Article
- Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis.BMC medical informatics and decision making · 2024Article
- Introducing Artificial Intelligence in Interpretation of Foetal Cardiotocography: Medical Dataset Curation and Preliminary Coding-An Interdisciplinary Project.Methods and protocols · 2024Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiotocography (CTG) is a monitoring of fetal heart rate and uterine contractions. Since 1960 it is routinely used by obstetricians to assess fetal well-being. Many attempts to introduce methods of automatic signal processing and evaluation have appeared during the last 20 years, however still no significant progress similar to that in the domain of adult heart rate variability, where open access databases are available (e.g. MIT-BIH), is visible. Based on a thorough review of the relevant publications, presented in this paper, the shortcomings of the current state are obvious. A lack of common ground for clinicians and technicians in the field hinders clinically usable progress. Our open access database of digital intrapartum cardiotocographic recordings aims to change that. DESCRIPTION: The intrapartum CTG database consists in total of 552 intrapartum recordings, which were acquired between April 2010 and August 2012 at the obstetrics ward of the University Hospital in Brno, Czech Republic. All recordings were stored in electronic form in the OB TraceVue®;system. The recordings were selected from 9164 intrapartum recordings with clinical as well as technical considerations in mind. All recordings are at most 90 minutes long and start a maximum of 90 minutes before delivery. The time relation of CTG to delivery is known as well as the length of the second stage of labor which does not exceed 30 minutes. The majority of recordings (all but 46 cesarean sections) is - on purpose - from vaginal deliveries. All recordings have available biochemical markers as well as some more general clinical features. Full description of the database and reasoning behind selection of the parameters is presented in the paper.
conclusionA new open-access CTG database is introduced which should give the research community common ground for comparison of results on reasonably large database. We anticipate that after reading the paper, the reader will understand the context of the field from clinical and technical perspectives which will enable him/her to use the database and also understand its limitations.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.