ReviewMaternal-fetal medicine (Wolters Kluwer Health, Inc.)2024
Antenatal Noninvasive Fetal Electrocardiography: A Literature Review.
Review in Maternal-fetal medicine (Wolters Kluwer Health, Inc.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review on AI-driven noninvasive fetal ECG processing and analysis methods.Frontiers in digital health · 2026Pooled it
- Remote maternal-fetal telemedicine monitoring for high-risk pregnancy care: A feasibility study.PloS one · 2025Trial
- Fetal Magnetocardiography Using Optically Pumped Magnetometers: A Literature Review.Biosensors · 2026Review
- Multivariate Spectral Analysis of Transabdominally Recorded Intrauterine Acoustic Signals (TRIAS) Across Gestation.Sensors (Basel, Switzerland) · 2026Article
- A Robust Artificial Intelligence Method for Detecting Near-Non-Reactive Non-Stress Test Patterns: What Should We Expect?Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2026Article
- Era of Evidence-Based Medicine and the Artificial Intelligence: The Transition of Obstetric Decision-Making From Empirical to Precision-Based Approaches.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2026Article
- Antepartum Computerized Cardiotocography in High-Risk Pregnancies: Comparative Analysis of Fetal Heart Rate Parameters in Hypertensive Disorders of Pregnancy, Diabetes and Intrahepatic Cholestasis.Journal of clinical medicine · 2026Article
- Article
- The Prenatal Diagnosis and Perinatal Management of Congenital Long QT Syndrome: A Comprehensive Literature Review and Recent Updates.Journal of cardiovascular development and disease · 2025Review
- The Use of "FetalKickApp" for Counting Fetal Movement in Pregnant Women: A Case Study of The University of Port Harcourt Teaching Hospital, Nigeria.Nigerian medical journal : journal of the Nigeria Medical AssociationReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fetal heart rate (FHR) monitoring is one of the central parts of obstetric care. Ultrasound-based technologies such as cardiotocography (CTG) remain the most common method for FHR monitoring. The CTG's limitations, including subjective interpretation, high interobserver variability, and the need for skilled professionals, led to the development of computerized CTG (cCTG). While cCTG demonstrated advantages, its superiority over visual interpretation remains inconclusive. This has prompted the exploration of alternatives like noninvasive fetal electrocardiography (NIFECG). This review explores the landscape of antenatal FHR monitoring and the need for remote FHR monitoring in a patient-centered care model. Additionally, FHR monitoring needs to evolve from the traditional approach to incorporate artificial intelligence and machine learning. The review underscores the importance of aligning fetal monitoring with modern healthcare, leveraging artificial intelligence algorithms for accurate assessments, and enhancing patient engagement. The physiology of FHR variability (FHRV) is explained emphasizing its significance in assessing fetal well-being. Other measures of FHRV and their relevance are described. It delves into the promising realm of NIFECG, detailing its history and recent technological advancements. The potential advantages of NIFECG are objective FHR assessment, beat-to-beat variability, patient comfort, remote prolonged use, and less signal loss with increased maternal body mass index. Despite its promise, challenges such as signal loss must be addressed. The clinical application of NIFECG, its correlation with cCTG measures, and ongoing technological advancements are discussed. In conclusion, this review explores the evolution of antenatal FHR monitoring, emphasizing the potential of NIFECG in providing reliable, home-based monitoring solutions. Future research directions are outlined, urging longitudinal studies and evidence generation to establish NIFECG's role in enhancing fetal well-being assessments during pregnancy.
Indexed as
Identifiers
What Socratic 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 Socratic graph.