Publications citing Fetal ECG Synthetic Database v1.0.0

A systematic review on AI-driven noninvasive fetal ECG processing and analysis methods
Dragoş Daniel Ţarălungă, Bogdan Cristian Florea, Anusuyah Subbarao et al. Frontiers in Digital Health, 2026. Cites: paper

Synthesis of multi-channel fetal ECG using generative modeling
Swedha Sankaranarayanan, Marta Regis, Judith O. E. H. van Laar et al. Physiological Measurement, 2026. Cites: paper

SVD-UNet: SVD-enhanced UNet for FECG extraction in the time–frequency domain
Wei Zhong, Chenyang Gong, Ruiwen Li. Biomedical Signal Processing and Control, 2026. Cites: paper

Transformer-based deep learning for estimating bidirectional maternal-fetal cardiac coupling
Murad Almadani, Leontios J. Hadjileontiadis, Ahsan Habib Khandoker. Frontiers in Medical Technology, 2026. Cites: paper

MCA-FM: Robust Non-Invasive Fetal ECG Extraction via Minimal Channel Attention and Flow Matching
Qingqing Duan, Xinyu Hu, Yuwei Zhang et al. Applied Sciences, 2026. Cites: paper

FM-FECG: An observation-informed flow matching framework for non-invasive fetal ECG extraction
Zhenqin Chen, Yiwei Lin, Fengdan Hu et al. Expert Systems with Applications, 2026. Cites: paper

Beyond the kick: A structured review of advances in automated fetal movement monitoring
Martina Palickova Mikolasova, Katerina Barnova, Radek Martinek et al. Journal of Applied Biomedicine, 2026. Cites: paper

A review of deep learning methods for non-invasive fetal electrocardiography
Zhen-Zhen Huang, Weitao Zhang, Yang Li et al. Biomedical Signal Processing and Control, 2026. Cites: paper

A Deep Learning-Guided Ensemble Empirical Mode Decomposition Method for Single-Channel Fetal Electrocardiogram Extraction
Xiaojian Xu, Yifan Zhang, Yufei Rao et al. Sensors, 2026. Cites: paper

Design a Low Cost Device for Preventing Fetal Distress by Analysis of Heart Rate
Nguetsop Hermann Beaumont, Jean Mbihi, Gamom Ngounou et al. Biomedical & Pharmacology Journal, 2026. Cites: paper

Sympathetic nerve activity recovery from the skin recording using the modern optimal shrinkage technique
Pei-Chun Su, Chao-Yi Chen, Chia-Hao Kuo et al. Biomedical Signal Processing and Control, 2026. Cites: paper

A novel multi-step adaptive Kalman filtering method based on dynamic noise estimation for FECG extraction
Yingbin Liu, Longxi Li, Yanbin Guo et al. Digital Health, 2026. Cites: paper

Low-complexity fetal heart rate monitoring from carbon-based single-channel dry electrodes maternal electrocardiogram
Susanna Likitalo, Arman Anzanpour, Anna Axelin et al. Physiological Measurement, 2026. Cites: paper

Deep source separation for single-channel fetal ECG extraction
Wei Zhong, Ruiwen Li, Xin Yu. Physiological Measurement, 2026. Cites: paper

Noninvasive Extraction of Maternal and Fetal Electrocardiograms Using Progressive Periodic Source Peel-Off
Yunfei Liu, Yao Li, Xuanyu Luo et al. IEEE Transactions on Instrumentation and Measurement, 2026. Cites: paper

Optimized feature subsets for characterizing fetal QRS complexes in noninvasive fetal electrocardiography recordings
Nithin Lakshmisha, Shaun D'Souza, Varun Bajaj et al. Elsevier eBooks, 2026. Cites: paper

Repetitive component analysis and its application to noninvasive fetal electrocardiogram extraction
Wen Shan, YingHong Chen, Jimin Hu et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Deep learning-based approach for accurate detection of fetal QRS complexes in abdominal ECG signals
Kimia Esmaeili Alidash, Hamed Danandeh Hesar. Scientific Reports, 2025. Cites: paper

Non-Invasive Techniques for fECG Analysis in Fetal Heart Monitoring: A Systematic Review
Sanghamitra Subhadarsini Dash, Malaya Kumar Nath. Signals, 2025. Cites: paper

Graph-Based Spatio-temporal Attention and Multi-Scale Fusion for Clinically Interpretable, High-Fidelity Fetal ECG Extraction
Chang Wang, Ming Zhu, Shengjie Zhai et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2025. Cites: paper

Heart beating: una aplicación para el diagnóstico prenatal inteligente
Julio César Pérez-Sansalvador, Arelly Ornelas Vargas, Alejandro Barreiro Valdez et al. TIES Revista de Tecnología e Innovación en Educación Superior, 2025. Cites: paper

Robust U-Nets for Fetal R-Peak Identification in Electrocardiography
Peishan Zhou, Stephen So, Belinda Schwerin. Algorithms, 2025. Cites: paper

Wavelet-based algorithms for noninvasive fetal ECG post-processing: A methodological review
Giulia Baldazzi, Martina Corda, Giuliana Solinas et al. Biomedical Signal Processing and Control, 2025. Cites: paper

A Novel Approach for Detecting Fetal QRS and Estimating Fetal Heart Rate from Abdominal ECG using EMD and Wavelet Decomposition
Sanghamitra Subhadarsini Dash, Malaya Kumar Nath. Circuits Systems and Signal Processing, 2025. Cites: paper

DIFF-FECG: A Conditional Diffusion-Based Method for Fetal ECG Extraction From Abdominal ECG
Zhenqin Chen, Yiwei Lin, Qiong Luo et al. IEEE Transactions on Artificial Intelligence, 2025. Cites: paper

Complexity-Reduced End-to-End Fetal ECG Signal Recovery and QRS Complex Detection
Julia C. Remus, Thiago L. T. da Silveira. 2025. Cites: paper

A proposed deep learning model for multichannel ECG noise reduction
Jay Prakash Maurya, Manish Manoria, Sunil Joshi. Discover Artificial Intelligence, 2025. Cites: paper

Review of Non-Invasive Fetal Electrocardiography Monitoring Techniques
Xiongjun Li, Jingyu Wan, Xiaobo Peng. Sensors, 2025. Cites: paper

Adjacent Channel Weight Dependable RLS Adaptive Filter With VMD Based Artifact Removal Mechanism in Fetal ECG Separation
D. Edwin Dhas, M. Suchetha, Ki H. Chon et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models
Aiman Fatima Soofi. Journal of Emerging Technologies and Innovative Research, 2025. Cites: paper

Dual-Attention-Based Pipelined Encoder–Decoder Network for Fetal Electrocardiogram Extraction
Bipin Samuel, Malaya Kumar Hota. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

FAViTNet: An Effective Deep Learning Framework for Non-Invasive Fetal Arrhythmia Diagnosis
Bipin Samuel, Malaya Kumar Hota. IEEE Access, 2025. Cites: paper

Robust Fetal ECG Extraction From Abdominal Surface Potentials Using a Variational Autoencoder
Yoshifumi Honda, Hiroshi Kawaguchi, Shintaro Izumi. IEEE Access, 2025. Cites: paper

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks
Yao Chen, Jian Wang, Jing Zhang et al. IEEE Access, 2025. Cites: paper

TCGAN: Temporal Convolutional Generative Adversarial Network for Fetal ECG Extraction Using Single-Channel Abdominal ECG
Zhen-Zhen Huang, Weitao Zhang, Yang Li et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

A blind extraction method of fetal electrocardiogram signal based on MNCMD-NLBCA
MingYang Tang, Yafeng Wu. EURASIP Journal on Advances in Signal Processing, 2024. Cites: paper

Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction
D. Edwin Dhas, M. Suchetha. Biomedical Signal Processing and Control, 2024. Cites: paper

An End-to-End RoI-Based Encoder-Decoder for Fetal ECG Recovery and QRS Complex Detection
Julia C. Remus, Thiago L. T. da Silveira. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2024. Cites: paper

Improved mECG Removal and fECG Extraction by Integrated Periodic Components Analysis and Singular Value Decomposition
Alessandra Galli, Elisabetta Peri, Paul Hamelmann et al. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2024. Cites: paper

Enhancing Fetal ECG Extraction: Novel UNET Architecture using Continuous Wavelet Transforms performing dimentionality reduction
Tanish Shah, Pratik Pujari, Atharv Raotole et al. International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S), 2024. Cites: paper

The Development and Implementation of Innovative Blind Source Separation Techniques for Real-Time Extraction and Analysis of Fetal and Maternal Electrocardiogram Signals
Mohcin Mekhfioui, Aziz Benahmed, Ahmed Chebak et al. Bioengineering, 2024. Cites: paper

Power-MF: robust fetal QRS detection from non-invasive fetal electrocardiogram recordings
Katharina M. Jaeger, Michael Nissen, Simone Rahm et al. Physiological Measurement, 2024. Cites: paper

A novel hybrid method for calculating the fetal heart rate from the non-invasive abdominal Electrocardiogram signal
Bipin Samuel, Malaya Kumar Hota. Biomedical Signal Processing and Control, 2024. Cites: paper

Artificial Intelligence and Machine Learning in Electronic Fetal Monitoring
Katerina Barnova, Radek Martínek, Radana Vilimkova Kahankova et al. Archives of Computational Methods in Engineering, 2024. Cites: paper

Multichannel high noise level ECG denoising based on adversarial deep learning
Franck Lino Mvuh, Claude Odile Vanessa Ebode Ko'A, Bertrand Bodo. Scientific Reports, 2024. Cites: paper

Template subtraction based methods for non-invasive fetal electrocardiography extraction
René Jaroš, Eva Tomicova, Radek Martínek. Scientific Reports, 2024. Cites: paper

Algorithm for Quality Evaluation of Pregnant Women’s Abdominal Electrical Signals Based on CNN Networks
晓杰牛. Advances in Clinical Medicine, 2024. Cites: paper

Artificial Intelligence Advancements in Fetal Monitoring: Enhancing Prenatal Care
Dragoş Daniel Ţarălungă, Ionuț Manea, Rareș-Marin Preoteasa et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2024. Cites: paper

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models
Yalamanchili Salini, Sachi Nandan Mohanty, Janjhyam Venkata Naga Ramesh et al. IEEE Access, 2024. Cites: paper

ECG Signal Denoising by Cross-Bispectrum Data Processing
Oleh Viunytskyi, Alexander V. Totsky. Lecture notes in networks and systems, 2024. Cites: paper

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