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Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG
1Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. lightjin619@gist.ac.kr.
Insights
This study introduces a new method for estimating fetal heart rate (FHR) using sequential total variation denoising. The approach effectively separates fetal electrocardiogram (fECG) signals from maternal abdominal ECG, improving FHR monitoring accuracy.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Maternal-Fetal Medicine
Background:
- Fetal heart rate (FHR) is crucial for assessing fetal well-being.
- Cardiotocography (CTG) is standard but has limitations like susceptibility to artifacts and unsuitability for long-term monitoring.
- Estimating FHR from abdominal electrocardiograms (ECG) is challenging due to weak fetal ECG signals obscured by maternal signals.
Purpose of the Study:
- To develop and evaluate a novel method for accurate FHR estimation from abdominal ECG signals.
- To address the challenge of separating fetal ECG from maternal ECG in abdominal recordings.
- To compare the proposed method's performance against existing single-channel fetal ECG extraction techniques.
Main Methods:
- Proposed a novel algorithm utilizing sequential total variation denoising for fetal ECG extraction.
- Validated the method through simulations using the Fetal ECG Synthetic Database (FECGSYNDB).
- Evaluated algorithm performance on real-world data from PhysioNet fetal ECG databases, using R-peak detection rate as a key metric.
Main Results:
- The proposed method successfully separated fetal ECG signals from abdominal ECG interference.
- Accurate estimation of FHR was achieved, demonstrating the algorithm's effectiveness.
- Performance was comparable to or better than other single-channel fetal ECG extraction methods.
Conclusions:
- Sequential total variation denoising offers a robust solution for fetal ECG signal separation and FHR estimation.
- The developed algorithm enhances the potential for reliable, long-term fetal monitoring using non-invasive ECG.
- This technique holds promise for improving clinical assessment of fetal health.
Abstract:
Fetal heart rate (FHR) is an important determinant of fetal health. Cardiotocography (CTG) is widely used for measuring the FHR in the clinical field. However, fetal movement and blood flow through the maternal blood vessels can critically influence Doppler ultrasound signals. Moreover, CTG is not suitable for long-term monitoring. Therefore, researchers have been developing algorithms to estimate the FHR using electrocardiograms (ECGs) from the abdomen of pregnant women. However, separating the weak fetal ECG signal from the abdominal ECG signal is a challenging problem. In this paper, we propose a method for estimating the FHR using sequential total variation denoising and compare its performance with that of other single-channel fetal ECG extraction methods via simulation using the Fetal ECG Synthetic Database (FECGSYNDB). Moreover, we used real data from PhysioNet fetal ECG databases for the evaluation of the algorithm performance. The R-peak detection rate is calculated to evaluate the performance of our algorithm. Our approach could not only separate the fetal ECG signals from the abdominal ECG signals but also accurately estimate the FHR.
