ReviewSensors (Basel, Switzerland)2018
Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal.
Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.
- Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review.Frontiers in medicine · 2021Pooled it
- Atrioventricular conduction abnormalities are associated with poor outcome following intermittent umbilical cord occlusions in fetal sheep.Acta obstetricia et gynecologica Scandinavica · 2025Article
- Automatic signal quality assessment of raw trans-abdominal biopotential recordings for non-invasive fetal electrocardiography.Frontiers in bioengineering and biotechnology · 2023Article
- A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.Sensors (Basel, Switzerland) · 2022Article
- Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals.Sensors (Basel, Switzerland) · 2021Review
- A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction.PloS one · 2021Article
- A review of fetal cardiac monitoring, with a focus on low- and middle-income countries.Physiological measurement · 2020Review
- New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal.Sensors (Basel, Switzerland) · 2020Article
- Fetal electrocardiograms, direct and abdominal with reference heartbeat annotations.Scientific data · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Fetal electrocardiography is among the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms.
Indexed as
Identifiers
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.