ArticleFrontiers in physiology2017
Is Abdominal Fetal Electrocardiography an Alternative to Doppler Ultrasound for FHR Variability Evaluation?
Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 47 citations in OpenAlex.
- Comparison study of population-based methods for non-invasive fetal electrocardiography extraction.Frontiers in medicine · 2026Article
- Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification.IEEE journal of translational engineering in health and medicine · 2025Article
- Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Nature inspired method for noninvasive fetal ECG extraction.Scientific reports · 2022Article
- A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.Sensors (Basel, Switzerland) · 2022Article
- Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction.PloS one · 2022Article
- A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research.Scientific data · 2021Article
- Estimation and Discriminability of Doppler Ultrasound Fetal Heart Rate Variability Measures.Frontiers in artificial intelligence · 2021Article
- A review of fetal cardiac monitoring, with a focus on low- and middle-income countries.Physiological measurement · 2020Review
- A New Approach for Testing Fetal Heart Rate Monitors.Sensors (Basel, Switzerland) · 2020Article
- New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal.Sensors (Basel, Switzerland) · 2020Article
- Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine.Sensors (Basel, Switzerland) · 2020Article
- An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound.Physiological measurement · 2019Article
- Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal.Sensors (Basel, Switzerland) · 2018Review
- Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring.Physiological measurement · 2018Review
- Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring.Frontiers in physiology · 2018Article
- Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms.Sensors (Basel, Switzerland) · 2017Article
- A Hybrid EMD-Kurtosis Method for Estimating Fetal Heart Rate from Continuous Doppler Signals.Frontiers in physiology · 2017Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Great expectations are connected with application of indirect fetal electrocardiography (FECG), especially for home telemonitoring of pregnancy. Evaluation of fetal heart rate (FHR) variability, when determined from FECG, uses the same criteria as for FHR signal acquired classically-through ultrasound Doppler method (US). Therefore, the equivalence of those two methods has to be confirmed, both in terms of recognizing classical FHR patterns: baseline, accelerations/decelerations (A/D), long-term variability (LTV), as well as evaluating the FHR variability with beat-to-beat accuracy-short-term variability (STV). The research material consisted of recordings collected from 60 patients in physiological and complicated pregnancy. The FHR signals of at least 30 min duration were acquired dually, using two systems for fetal and maternal monitoring, based on US and FECG methods. Recordings were retrospectively divided into normal (41) and abnormal (19) fetal outcome. The complex process of data synchronization and validation was performed. Obtained low level of the signal loss (4.5% for US and 1.8% for FECG method) enabled to perform both direct comparison of FHR signals, as well as indirect one-by using clinically relevant parameters. Direct comparison showed that there is no measurement bias between the acquisition methods, whereas the mean absolute difference, important for both visual and computer-aided signal analysis, was equal to 1.2 bpm. Such low differences do not affect the visual assessment of the FHR signal. However, in the indirect comparison the inconsistencies of several percent were noted. This mainly affects the acceleration (7.8%) and particularly deceleration (54%) patterns. In the signals acquired using the electrocardiography the obtained STV and LTV indices have shown significant overestimation by 10 and 50% respectively. It also turned out, that ability of clinical parameters to distinguish between normal and abnormal groups do not depend on the acquisition method. The obtained results prove that the abdominal FECG, considered as an alternative to the ultrasound approach, does not change the interpretation of the FHR signal, which was confirmed during both visual assessment and automated analysis.
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