ArticlePhysiological measurement2014
Non-invasive fetal ECG analysis.
Article in Physiological measurement, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
What it found
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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
46 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review on the utility of non-invasive electrophysiological assessment in evaluating for intra uterine growth restriction.BMC pregnancy and childbirth · 2019Pooled it
- A systematic review of cardiac time intervals utilising non-invasive fetal electrocardiogram in normal fetuses.BMC pregnancy and childbirth · 2018Pooled it
- Prospective User Perceptions and Acceptability of a Wearable Fetal Heart Monitor: Cross-Sectional Survey.JMIR formative research · 2026Article
- Assessing signal loss, accuracy, and acceptability of an ambulatory fetal electrocardiography with cardiotocography in the antepartum and intrapartum phases.Acta obstetricia et gynecologica Scandinavica · 2026Article
- Predicting Intrapartum Acidemia: A Review of Approaches Based on Fetal Heart Rate.Bioengineering (Basel, Switzerland) · 2026Review
- Review of Non-Invasive Fetal Electrocardiography Monitoring Techniques.Sensors (Basel, Switzerland) · 2025Review
- Fetal ECG Signal Extraction from Maternal Abdominal ECG Signals Using Attention R2W-Net.Sensors (Basel, Switzerland) · 2025Article
- [Fetal electrocardiogram signal extraction based on multi-scale residual shrinkage U-Net].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Frequency Domain Template Subtraction Approach to Attenuate Maternal Electrocardiogram in Fetal Electrocardiogram.NeuroSci · 2024Article
- Enhancing Fetal Electrocardiogram Signal Extraction Accuracy through a CycleGAN Utilizing Combined CNN-BiLSTM Architecture.Sensors (Basel, Switzerland) · 2024Article
- A Nonlinear Functional Link Multilayer Perceptron Using Volterra Series as an Adaptive Noise Canceler for the Extraction of Fetal Electrocardiogram.Annals of biomedical engineering · 2024Article
- A Novel Approach to Fetal ECG Extraction Using Temporal Convolutional Encoder-Decoder Network (TCED-Net).Pediatric cardiology · 2023Article
- Effectiveness of ambulatory non-invasive fetal electrocardiography: impact of maternal and fetal characteristics.Acta obstetricia et gynecologica Scandinavica · 2023Observational
- Automatic signal quality assessment of raw trans-abdominal biopotential recordings for non-invasive fetal electrocardiography.Frontiers in bioengineering and biotechnology · 2023Article
- Nature inspired method for noninvasive fetal ECG extraction.Scientific reports · 2022Article
- Article
- A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.Sensors (Basel, Switzerland) · 2022Article
- Morphology extraction of fetal ECG using temporal CNN-based nonlinear adaptive noise cancelling.PloS one · 2022Article
- Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction.PloS one · 2022Article
- Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Despite the important advances achieved in the field of adult electrocardiography signal processing, the analysis of the non-invasive fetal electrocardiogram (NI-FECG) remains a challenge. Currently no gold standard database exists which provides labelled FECG QRS complexes (and other morphological parameters), and publications rely either on proprietary databases or a very limited set of data recorded from few (or more often, just one) individuals.The PhysioNet/Computing in Cardiology Challenge 2013 enables to tackle some of these limitations by releasing a set of NI-FECG data publicly to the scientific community in order to evaluate signal processing techniques for NI-FECG extraction. The Challenge aim was to encourage development of accurate algorithms for locating QRS complexes and estimating the QT interval in non-invasive FECG signals. Using carefully reviewed reference QRS annotations and QT intervals as a gold standard, based on simultaneous direct FECG when possible, the Challenge was designed to measure and compare the performance of participants' algorithms objectively. Multiple challenge events were designed to test basic FHR estimation accuracy, as well as accuracy in measurement of inter-beat (RR) and QT intervals needed as a basis for derivation of other FECG features.This editorial reviews the background issues, the design of the Challenge, the key achievements, and the follow-up research generated as a result of the Challenge, published in the concurrent special issue of Physiological Measurement.
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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.