ArticleFrontiers in physiology2017
A Hybrid EMD-Kurtosis Method for Estimating Fetal Heart Rate from Continuous Doppler Signals.
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 10 papers.
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10 citing papers in PubMed, 21 citations in OpenAlex.
- Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound Analysis.IEEE transactions on bio-medical engineering · 2026Article
- A Robust Approach Assisted by Signal Quality Assessment for Fetal Heart Rate Estimation from Doppler Ultrasound Signal.Sensors (Basel, Switzerland) · 2023Article
- Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications.Frontiers in endocrinology · 2023Review
- Cardiotocography in Obstetrics: New Solutions for "Routine" Technology.Sensors (Basel, Switzerland) · 2022Article
- A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction.PloS one · 2021Article
- Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound.Physiological measurement · 2020Article
- New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal.Sensors (Basel, Switzerland) · 2020Article
- [Optimal template selecting combined with non-liner template matching for Doppler fetal heart rate extraction].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019Article
- An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound.Physiological measurement · 2019Article
- Fetal Cardiac Doppler Signal Processing Techniques: Challenges and Future Research Directions.Frontiers in bioengineering and biotechnology · 2017Review
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring of fetal heart rate (FHR) is an important measure of fetal wellbeing during the months of pregnancy. Previous works on estimating FHR variability from Doppler ultrasound (DUS) signal mainly through autocorrelation analysis showed low accuracy when compared with heart rate variability (HRV) computed from fetal electrocardiography (fECG). In this work, we proposed a method based on empirical mode decomposition (EMD) and the kurtosis statistics to estimate FHR and its variability from DUS. Comparison between estimated beat-to-beat intervals using the proposed method and the autocorrelation function (AF) with respect to RR intervals computed from fECG as the ground truth was done on DUS signals from 44 pregnant mothers in the early (20 cases) and late (24 cases) gestational weeks. The new EMD-kurtosis method showed significant lower error in estimating the number of beats in the early group (EMD-kurtosis: 2.2% vs. AF: 8.5%,
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