Cited by
Fetal ECG Synthetic Database (v1.0.0)
177 publications cite any version of this project or its primary paper, newest first.
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Maternal ECG-guided neural network for improved fetal electrocardiogram extraction
Ko-Tsung Hsu, Trong Nguyen, Anita N. Krishnan et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Sample Point Classification of Abdominal ECG Through CNN-Transformer Model Enables Efficient Fetal Heart Rate Detection
Zhenqin Chen, Kaixiao Zheng, J. Shen et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper -
Enhancing fetal electrocardiogram classification: A hybrid approach incorporating multimodal data fusion and advanced deep learning models
Said Ziani. Multimedia Tools and Applications, 2023. Cites: paper -
A Nonlinear Functional Link Multilayer Perceptron Using Volterra Series as an Adaptive Noise Canceler for the Extraction of Fetal Electrocardiogram
Bipin Samuel, Malaya Kumar Hota. Annals of Biomedical Engineering, 2023. Cites: paper -
Deep learning with fetal ECG recognition
Wei Zhong, Jiahui Luo, Wei Du. Physiological Measurement, 2023. Cites: paper -
Open Data: Valuable Resources and Opportunities for the Researchers in Fetal Cardiac Monitoring
Giulia Baldazzi, Danilo Pani. Springer eBooks, 2023. Cites: paper -
A new algorithm for fetal heart rate detection: Fractional order calculus approach
Ilija Tanasković, Nadica Miljković. Medical Engineering & Physics, 2023. Cites: paper -
Adaptive filter with Riemannian manifold constraint
Jose M. Mejia, Boris Mederos, Nelly Gordillo et al. Scientific Reports, 2023. Cites: paper -
Analysis of various techniques for ECG signal in healthcare, past, present, and future
Thivya Anbalagan, Malaya Kumar Nath, D. Vijayalakshmi et al. Biomedical Engineering Advances, 2023. Cites: paper -
Fetal ECG Extraction and QRS Detection Using Advanced Adaptive Filtering-Based Signal Decomposition and Peak Threshold Technique from Abdominal ECG Signals
J. Jebastine. Circuits Systems and Signal Processing, 2023. Cites: paper -
An open-source framework for synthetic post-dive Doppler ultrasound audio generation
David Le, Andrew H. Hoang, Arian Azarang et al. PLoS ONE, 2023. Cites: paper -
A Dual Self-Calibrating Framework for Noninvasive Fetal ECG R-Peak Detection
Lihong Qiao, Shuai Hu, Bin Xiao et al. IEEE Internet of Things Journal, 2023. Cites: paper -
Modern Signal Processing Tools for Fetal Electrocardiogram Extraction from Single-Channel Transabdominal Maternal Electrocardiogram
Pei-Chun Su, Hau‐Tieng Wu. Springer eBooks, 2023. Cites: paper -
One-Dimensional W-NETR for Non-Invasive Single Channel Fetal ECG Extraction
Murad Almadani, Leontios J. Hadjileontiadis, Ahsan Habib Khandoker. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper -
Impact of Linearization in Abdominal ECG for Non-Causal Filtering Structure in Fetal ECG Extraction
D. Edwin Dhas, M. Suchetha. International Conference on Trends in Electronics and Informatics (ICOEI), 2023. Cites: paper -
Comparative Assessment of BSS Techniques for Non-Invasive Extraction of Fetal ECG from Abdominal ECG Signal
Prabhjot Kaur, Lillie Dewan. Journal of The Institution of Engineers (India) Series B, 2023. Cites: paper -
A Novel ECG Noise Reduction Technique Employing the Chaotic Adaptive Fish Migration Optimization Algorithm
Qing-Wei Chai, Weimin Zheng, Lili Xu et al. IEEE Access, 2023. Cites: paper -
A signal quality assessment method for fetal QRS complexes detection
Wei Zhong, Mao Li, Wei Du. Mathematical Biosciences & Engineering, 2023. Cites: paper -
Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction
Xu Wang, Zhaoshui He, Zhijie Lin et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper -
Energy-Dependent RLS Architecture for the Separation of Fetal ECG Using Thoracic and Abdominal Lead ECG of Mother
D. Edwin Dhas, M. Suchetha. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper -
Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform
Theodoros Lampros, Νικόλαος Γιαννακέας, Konstantinos Kalafatakis et al. IFIP advances in information and communication technology, 2023. Cites: paper -
Linearization of R-R Peak in Abdominal ECG Signals for Fetal ECG Separation Using Adaptive Filter
D. Edwin Dhas, M. Suchetha. Lecture notes in electrical engineering, 2023. Cites: paper -
Towards the Prediction of Atrial Fibrillation Based on Interpretable ECG Features
Alexander Hammer, Hagen Malberg, Martin U. Schmidt. Computing in cardiology, 2022. Cites: paper -
CSGSA-Net: Canonical-structured graph sparse attention network for fetal ECG estimation
Xu Wang, Yang Han, Yamei Deng. Biomedical Signal Processing and Control, 2022. Cites: paper -
Morphology extraction of fetal ECG using temporal CNN-based nonlinear adaptive noise cancelling
Shi Cao, Hui Xiao, Gao Gong et al. PLoS ONE, 2022. Cites: paper -
Nature inspired method for noninvasive fetal ECG extraction
Akshaya Raj, Jindřich Brablík, Radana Vilimkova Kahankova et al. Scientific Reports, 2022. Cites: paper -
Fetal heart rate monitoring by fusion of estimations from two modalities: A modified Viterbi’s algorithm
Rémi Souriau, Julie Fontecave-Jallon, Bertrand Rivet. Biomedical Signal Processing and Control, 2022. Cites: paper -
ASW-Net: Adaptive Spectral Wavelet Network for Accurate Fetal ECG Extraction
Xu Wang, Yang Han, Yamei Deng. IEEE Transactions on Biomedical Circuits and Systems, 2022. Cites: paper -
Automatic Optimization of Multichannel Electrode Configurations for Robust Fetal Heart Rate Detection by Blind Source Separation
Alessandra Galli, Elisabetta Peri, Chiara Rabotti et al. IEEE Transactions on Biomedical Engineering, 2022. Cites: paper -
Extraction of Fetal ECG From Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture
D. Edwin Dhas, M. Suchetha. IEEE Transactions on Biomedical Circuits and Systems, 2022. Cites: paper -
Electrocardiogram Based Group Device Pairing for Wearables
Guichuan Zhao, Qi Gang Jiang, Ximeng Liu et al. IEEE Transactions on Mobile Computing, 2022. Cites: paper -
Automatic Detection of Fetal QRS Complex using Time-Frequency Image Based Features and Deep Learning Architecture
Abel Jaba Deva Krupa, Samiappan Dhanalakshmi. International Conference on Electronics and Sustainable Communication Systems (ICESC), 2022. Cites: paper -
A Novel Method for the Extraction of Fetal ECG Signals from Wearable Devices
Shayan Chowdhury, Martin Gerbert Frasch, Maristella Lucchini et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper -
Fetal ECG denoising using dynamic time warping template subtraction
Rémi Souriau, Julie Fontecave-Jallon, Bertrand Rivet. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper -
Fetal Electrocardiogram Extraction Using Dual-Path Source Separation of Single-Channel Non-Invasive Abdominal Recordings
Arash Shokouhmand, Negar Tavassolian. IEEE Transactions on Biomedical Engineering, 2022. Cites: paper -
Fetal Movement Cancellation in Abdominal Electrocardiogram Recordings Using Signal-to-Signal Translation
Arash Shokouhmand, Negar Tavassolian. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper -
Residual convolutional autoencoder combined with a non-negative matrix factorization to estimate fetal heart rate
Hugo Lafaye de Micheaux, Mariel Reséndiz Rojas, Bertrand Rivet et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper -
A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction
Jaba Deva Krupa Abel, Samiappan Dhanalakshmi, R. Kumar. Multimedia Tools and Applications, 2022. Cites: paper -
An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care
Abel Jaba Deva Krupa, Samiappan Dhanalakshmi, Khin Wee Lai et al. Journal of King Saud University - Computer and Information Sciences, 2022. Cites: paper -
A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography
Gert Mertes, Yuan Long, Zhangdaihong Liu et al. Sensors, 2022. Cites: paper -
Frequency-Based Maternal Electrocardiogram Attenuation for Fetal Electrocardiogram Analysis
Pooneh Roshanitabrizi, Anita N. Krishnan, Catherine Ingbar et al. Annals of Biomedical Engineering, 2022. Cites: paper -
Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
Radana Vilimkova Kahankova, Martina Palickova Mikolasova, Radek Martínek. PLoS ONE, 2022. Cites: paper -
Joint time-frequency analysis and non-linear estimation for fetal ECG extraction
Abel Jaba Deva Krupa, Samiappan Dhanalakshmi, R. Kumar. Biomedical Signal Processing and Control, 2022. Cites: paper -
End-to-End Deep Learning Architecture for Separating Maternal and Fetal ECGs Using W-Net
Kwang Jin Lee, Boreom Lee. IEEE Access, 2022. Cites: paper -
Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies
Tae Jun Park, Hye Jin Chang, Byungjin Choi et al. Yonsei Medical Journal, 2022. Cites: paper -
Measuring fetal heart rate and variability: Fetal cardiotocography versus electrocardiography
Janet A. DiPietro, Heather L. Watson, Radhika S. Raghunathan. Developmental Psychobiology, 2022. Cites: paper -
PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection
Xu Wang, Zhaoshui He, Zhijie Lin et al. IEEE Transactions on Instrumentation and Measurement, 2022. Cites: paper -
An Overview of Variational Autoencoders for Source Separation, Finance, and Bio-Signal Applications
Aman Singh, Tokunbo Ogunfunmi. Entropy, 2021. Cites: paper -
Performance analysis of the variable step-size Griffiths' LMS algorithm for fetal electrocardiography
Amiti Singh, Veena N. Hegde. International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021. Cites: paper -
TR-index: Semantic Characterization for Non-invasive Fetal ECG Signal Quality Assessment
Wei Zhong, Wei Du. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.