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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A Non-intrusive Single Channel Abdominal Fetal Electrocardiogram Monitor Using Singular Value Decomposition
Richmond Roi B. Rodriguez, Ruby Jane A. Mapolon, Rosula S. J. Reyes. International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), 2021. Cites: paper -
Evaluation of Mesh and Sensor Resolution for Finite Element Modeling of Non-Invasive Fetal ECG Signals
Emerson Keenan, Chandan Kumar Karmakar, Fiona Brownfoot et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper -
A Review on Computational Methods for Denoising and Detecting ECG Signals to Detect Cardiovascular Diseases
Prashant Mani Tripathi, Ashish Kumar, Rama Komaragiri et al. Archives of Computational Methods in Engineering, 2021. Cites: paper -
System for adaptive extraction of non-invasive fetal electrocardiogram
Katerina Barnova, Radek Martínek, René Jaroš et al. Applied Soft Computing, 2021. Cites: paper -
Fetal ECG extraction using short time Fourier transform and generative adversarial networks
Wei Zhong, Weibin Zhao. Physiological Measurement, 2021. Cites: paper -
Fetal heart rate estimation using fractional Fourier transform and wavelet analysis
Abel Jaba Deva Krupa, Samiappan Dhanalakshmi, N.L. Sanjana et al. Journal of Applied Biomedicine, 2021. Cites: paper -
Fixed-Point NLMS and IPNLMS VLSI Architectures for Accurate FECG and FHR Processing
Patricia Ucker Leleu da Costa, Guilherme Paim, Leandro M. G. Rocha et al. IEEE Transactions on Biomedical Circuits and Systems, 2021. Cites: paper -
Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction
Alexander Hammer, Matthieu Scherpf, Hannes Ernst et al. Computing in cardiology, 2021. Cites: paper -
A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction
Katerina Barnova, Radek Martínek, René Jaroš et al. PLoS ONE, 2021. Cites: paper -
Dedicated Algorithm for Unobtrusive Fetal Heart Rate Monitoring Using Multiple Dry Electrodes
Alessandra Galli, Elisabetta Peri, Yijing Zhang et al. Sensors, 2021. Cites: paper -
An improved parallel sub-filter adaptive noise canceler for the extraction of fetal ECG
Abel Jaba Deva Krupa, Samiappan Dhanalakshmi, R. Kumar. Biomedizinische Technik/Biomedical Engineering, 2021. Cites: paper -
Morphology extraction of fetal electrocardiogram by slow-fast LSTM network
Ziqun Zhou, Kejie Huang, Yue Qiu et al. Biomedical Signal Processing and Control, 2021. Cites: paper -
AECG-DecompNet: abdominal ECG signal decomposition through deep-learning model
Arash Rasti-Meymandi, Aboozar Ghaffari. Physiological Measurement, 2021. Cites: paper -
A non-invasive multimodal foetal ECG–Doppler dataset for antenatal cardiology research
Eleonora Sulas, Monica Urru, Roberto Tumbarello et al. Scientific Data, 2021. Cites: paper -
FECG Extraction Using 1D Convolution Neural Network
Yojana Sharma, Shashwati Ray, Om Prakash Yadav. Algorithms for intelligent systems, 2021. Cites: paper -
Hadoop Data Reduction Framework: Applying Data Reduction at the DFS Layer
Ryan Nathanael Soenjoto Widodo, Hirotake Abe, Kazuhiko Kato. IEEE Access, 2021. Cites: paper -
Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis
Radek Martínek, Radana Vilimkova Kahankova, René Jaroš et al. IEEE Access, 2021. Cites: paper -
Personalized Anatomic Modeling for Noninvasive Fetal ECG: Methodology and Applications
Emerson Keenan, Chandan Kumar Karmakar, Fiona Brownfoot et al. IEEE Transactions on Instrumentation and Measurement, 2021. Cites: paper -
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour, David Grangier. IEEE/ACM Transactions on Audio Speech and Language Processing, 2021. Cites: paper -
An Efficient NLMS-based VLSI Architecture for Robust FECG Extraction and FHR Processing
Patricia Ucker Leleu da Costa, Guilherme Paim, Leandro M. G. Rocha et al. IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2020. Cites: paper -
Noninvasive Fetal Electrocardiography: Models, Technologies, and Algorithms
Reza Sameni. Springer eBooks, 2020. Cites: dataset -
Annotated real and synthetic datasets for non-invasive foetal electrocardiography post-processing benchmarking
Giulia Baldazzi, Eleonora Sulas, Monica Urru et al. Data in Brief, 2020. Cites: paper -
Fetal Heart Beat detection based on Empirical Mode Decomposition, Signal Quality Indices and Correlation Analysis
Theodoros Lampros, Konstantinos Kalafatakis, Ioannis G. Violaris et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2020. Cites: paper -
Multi-Channel Fetal ECG Denoising With Deep Convolutional Neural Networks
Eleni Fotiadou, Rik Vullings. Frontiers in Pediatrics, 2020. Cites: paper -
Method of Non-invasive Fetal Electrocardiogram Denoising Based on Stationary Wavelet Transform and Spatially Selective Noise Filtration
Yue Zhang, Shuai Yu. International Conference on Biological Information and Biomedical Engineering (BIBE), 2020. Cites: paper -
A Novel Tool for Non-Invasive Fetal Electrocardiography Research: the NInFEA Dataset
Eleonora Sulas, Giulia Pili, Elisa Gusai et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper -
Fetal electrocardiograms, direct and abdominal with reference heartbeat annotations
A. Matonia, Janusz Jeżewski, T. Kupka et al. Scientific Data, 2020. Cites: paper -
Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound
Nasim Katebi, Faezeh Marzbanrad, Lisa Stroux et al. Physiological Measurement, 2020. Cites: paper -
A Null Space-Based Blind Source Separation for Fetal Electrocardiogram Signals
Luay Yassin Taha, Esam Abdel‐Raheem. Sensors, 2020. Cites: paper -
Wavelet denoising as a post-processing enhancement method for non-invasive foetal electrocardiography
Giulia Baldazzi, Eleonora Sulas, Monica Urru et al. Computer Methods and Programs in Biomedicine, 2020. Cites: paper -
Effectiveness of Non Stress Test on Fetal, Neonatal and Maternal Outcomes to Prevent Chronic Consequences in Delivery Health Centers
Monireh Rezaee Moradali, Azar Pazhohan, Moradali Zareipour et al. Jundishapur Journal of Chronic Disease Care, 2020. Cites: paper -
Blind extraction of fetal and maternal components from the abdominal electrocardiogram: An ICA implementation for low-dimensional recordings
Aída Jiménez-González, Norma Castañeda-Villa. Biomedical Signal Processing and Control, 2020. Cites: paper -
End-to-end trained encoder–decoder convolutional neural network for fetal electrocardiogram signal denoising
Eleni Fotiadou, Tomasz Konopczyński, Jürgen Hesser et al. Physiological Measurement, 2020. Cites: paper -
Feature Extraction of Hidden Oscillation in ECG Data via Multiple-FOD Method
Ekin Can Erkuş, Vi̇lda Purutçuoğlu. Lecture notes on data engineering and communications technologies, 2020. Cites: paper -
Comparison of Cardiotocography and Fetal Heart Rate Estimators Based on Non-Invasive Fetal ECG
Rasmus Gundorff Sæderup, Henrik Zimmermann, Dagbjört Helga Eiríksdóttir et al. Computing in cardiology, 2019. Cites: paper -
Deep Convolutional Encoder-Decoder Framework for Fetal ECG Signal Denoising
Eleni Fotiadou, Tomasz Konopczyński, Jürgen Hesser et al. Computing in cardiology, 2019. Cites: paper -
Deep Convolutional Encoder-Decoder Framework for Fetal ECG Signal Denoising
Eleni Fotiadou, Tomasz Konopczyński, Jürgen Hesser et al. TU/e Research Portal, 2019. Cites: paper -
Single-lead noninvasive fetal ECG extraction by means of combining clustering and principal components analysis
Yue Zhang, Shuai Yu. Medical & Biological Engineering & Computing, 2019. Cites: paper -
A Novel Framework for Maternal ECG Removal from Single-Channel Abdominal Recording
Wei Zhong, Zhongping Cao, Xuemei Guo et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper -
Fetal electrocardiography extraction with residual convolutional encoder–decoder networks
Wei Zhong, Liao Lijuan, Xuemei Guo et al. Australasian Physical & Engineering Sciences in Medicine, 2019. Cites: paper -
Systematic analysis of single- and multi-reference adaptive filters for non-invasive fetal electrocardiography
Eleonora Sulas, Monica Urru, Roberto Tumbarello et al. Mathematical Biosciences & Engineering, 2019. Cites: paper -
Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage
Pei-Chun Su, Steven Paul Miller, Salim F. Idriss et al. Physiological Measurement, 2019. Cites: paper -
QRStree: A prefix tree-based model to fetal QRS complexes detection
Wei Zhong, Xuemei Guo, Guoli Wang. PLoS ONE, 2019. Cites: paper -
Non-invasive Fetal Electrocardiography Denoising Using Deep Convolutional Encoder-Decoder Networks
Wei Zhong, Xuemei Guo, Guoli Wang. Lecture notes in electrical engineering, 2019. Cites: paper -
A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography
Radana Vilimkova Kahankova, Radek Martínek, René Jaroš et al. IEEE Reviews in Biomedical Engineering, 2019. Cites: paper -
The Influence of Vectorcardiogram Orientation on the T/QRS Ratio Obtained Via Non-Invasive Fetal ECG
Emerson Keenan, Chandan Kumar Karmakar, Marimuthu Swami Palaniswami. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper -
Noninvasive fetal electrocardiography for the detection of fetal arrhythmias
Joachim A. Behar, Laurent Bonnemains, Vyacheslav Shulgin et al. Prenatal Diagnosis, 2019. Cites: paper -
Mixing Matrix Estimation Algorithm for Underdetermined Instantaneous Mixing Model
Fan Shi. International Journal of Performability Engineering, 2019. Cites: paper -
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators
Tal Shnitzer, Mirela Ben‐Chen, Leonidas J. Guibas et al. SIAM Journal on Mathematics of Data Science, 2019. Cites: paper -
A novel modular fetal ECG STAN and HRV analysis: Towards robust hypoxia detection
Radek Martínek, Radana Vilimkova Kahankova, Boris Martin et al. Technology and Health Care, 2018. Cites: paper
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