ArticleScientific data2021
A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 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
- Overview of Respiratory Sensor Solutions to Support Patient Diagnosis and Monitoring.Sensors (Basel, Switzerland) · 2025Review
- Emerging Paradigms in Fetal Heart Rate Monitoring: Evaluating the Efficacy and Application of Innovative Textile-Based Wearables.Sensors (Basel, Switzerland) · 2024Review
- Pregnancy in the time of COVID-19: towards Fetal monitoring 4.0.BMC pregnancy and childbirth · 2023Review
- Independent component analysis algorithms for non-invasive fetal electrocardiography.PloS one · 2023Article
- Automatic signal quality assessment of raw trans-abdominal biopotential recordings for non-invasive fetal electrocardiography.Frontiers in bioengineering and biotechnology · 2023Article
- A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research.Scientific data · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Non-invasive foetal electrocardiography (fECG) continues to be an open topic for research. The development of standard algorithms for the extraction of the fECG from the maternal electrophysiological interference is limited by the lack of publicly available reference datasets that could be used to benchmark different algorithms while providing a ground truth for foetal heart activity when an invasive scalp lead is unavailable. In this work, we present the Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research (NInFEA), the first open-access multimodal early-pregnancy dataset in the field that features simultaneous non-invasive electrophysiological recordings and foetal pulsed-wave Doppler (PWD). The dataset is mainly conceived for researchers working on fECG signal processing algorithms. The dataset includes 60 entries from 39 pregnant women, between the 21
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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.