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180 publications cite any version of this project or its primary paper, newest first.
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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 -
Aplicaciones de Monitoreo de Frecuencia Cardiaca sobre plataformas Open Source: Una revisión sistemática
Edgar Barragán Bustamante, María Blanco Ochoa, Cesar Rosales Iriarte et al. Boletín de Innovación Logística y Operaciones, 2020. Cites: paper -
An Instantaneous Correlation Coefficient and Simplified Coherent Averaging Method for Single-Channel Foetal ECG Extraction
Miao Zhang, Guo Wei. Applied Sciences, 2020. Cites: paper -
A Complete Adaptive Method for Fetal ECG Extraction Based on Single Channel
Miao Zhang, Guo Wei. Journal of Physics Conference Series, 2020. Cites: paper -
Recovery and noise cancelling of the fetal heart signal using a combination of NLMS algorithm and S-G filter
Ali Ghasemi, Farzin Shama, Gholamreza Karimi et al. Circuit World, 2020. Cites: paper -
Blind Source Separation for the Aggregation of Machine Learning Algorithms: An Arrhythmia Classification Case
Krzysztof Gajowniczek, Iga Grzegorczyk, Michał Gostkowski et al. Electronics, 2020. Cites: paper -
Weighted Random Forests to Improve Arrhythmia Classification
Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz Ząbkowski et al. Electronics, 2020. Cites: paper -
A Novel Method for Extracting High-Quality RR Intervals from Noisy Single-Lead ECG Signals
Shan Xue, Leirong Tian, Zhilin Gao et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2020. Cites: paper -
Fetal ECG Extraction Using Input-Mode and Output-Mode Adaptive Filters With Blind Source Separation
Luay Yassin Taha, Esam Abdel‐Raheem. Canadian Journal of Electrical and Computer Engineering, 2020. 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 -
Single channel high noise level ECG deconvolution using optimized blind adaptive filtering and fixed-point convolution kernel compensation
Mohammad Reza Mohebbian, Mohammad Wajih Alam, Khan A. Wahid et al. Biomedical Signal Processing and Control, 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 -
Predicting Electrical Cardioversion Outcome in Persistent Atrial Fibrillation Through Multiscale Entropy Analysis
Eva Cirugeda, Eva Plancha, Víctor Manuel Hidalgo et al. E-Health and Bioengineering Conference (EHB), 2019. Cites: paper -
Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review
Javier Tejedor, Constantino Antonio García Martínez, David G. Márquez et al. Sensors, 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 -
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 -
Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction
Fahimeh Jamshidian-Tehrani, Reza Sameni, Christian Jutten B. IEEE Transactions on Biomedical Engineering, 2019. Cites: paper -
Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users
Abhishek Tiwari, Isabela Albuquerque, Mark Parent et al. Entropy, 2019. Cites: paper -
Signal Quality for RR Interval Prediction on Wearable Sensors
Laura López González, Thomas Paniagua, Nathan Starliper et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper -
A low-complexity photoplethysmographic systolic peak detector for compressed sensed data
Giulia Da Poian, Nunzio Alexandro Letizia, R. Rinaldo et al. Physiological Measurement, 2019. Cites: paper -
Comparison of publicly available beat detection algorithms performances on the ECGs obtained by a patch ECG device
Ivan Tomašić, N. Petrovic, María Lindén et al. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2019. Cites: paper -
Extraction of foetal ECG from abdominal ECG by nonlinear transformation and estimations
Rolant Gini J, K.I. Ramachandran. Computer Methods and Programs in Biomedicine, 2019. Cites: paper -
Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network
Qichen Li, Chengyu Liu, Qiao Li et al. Physiological Measurement, 2019. Cites: paper -
Wearable System for Biosignal Acquisition and Monitoring Based on Reconfigurable Technologies
Víctor Toral, Antonio García, Francisco J. Romero et al. Sensors, 2019. Cites: paper -
Design of dynamic ECG diagnosis system based on multiresolution
Xinyu Cao, Chunying Pang. Journal of Physics Conference Series, 2019. Cites: paper -
A Fetal ECG Monitoring System Based on the Android Smartphone
Li Yuan, Yanchao Yuan, Zhuhuang Zhou et al. Sensors, 2019. Cites: paper -
Detection of Fetal ECG R Wave From Single-Lead Abdominal ECG Using a Combination of RR Time-Series Smoothing and Template-Matching Approach
He Liu, Deyun Chen, Guanghao Sun. IEEE Access, 2019. Cites: paper -
Fetal QRS Detection in Noninvasive Abdominal Electrocardiograms Using Principal Component Analysis and Discrete Wavelet Transforms with Signal Quality Estimation
Mohammad Javad Mollakazemi, Asadi, Farhad, Mahsa Tajnesaei et al. Journal of Biomedical Physics and Engineering, 2019. Cites: paper -
Multiple Sub-Filter Adaptive Noise Canceller for Fetal ECG Extraction
Jaba Deva Krupa Abel, Samiappan Dhanalakshmi, R. Kumar et al. Procedia Computer Science, 2019. Cites: paper -
Novel Hybrid Extraction Systems for Fetal Heart Rate Variability Monitoring Based on Non-Invasive Fetal Electrocardiogram
René Jaroš, Radek Martínek, Radana Vilimkova Kahankova et al. IEEE Access, 2019. Cites: paper -
A tree-search method for single-channel fetal QRS complexes detection in fetal heart rate monitoring
Wei Zhong, Zhongping Cao, Wen Ding et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. Cites: paper -
Fetal ECG extraction from time-varying and low-rank noninvasive maternal abdominal recordings
Fahimeh Jamshidian-Tehrani, Reza Sameni. Physiological Measurement, 2018. Cites: paper -
Fetal ECG extraction exploiting joint sparse supports in a dual dictionary framework
Furrukh Sana, Tarig Ballal, Maha Shadaydeh et al. Biomedical Signal Processing and Control, 2018. Cites: paper -
PhysioZoo: A Novel Open Access Platform for Heart Rate Variability Analysis of Mammalian Electrocardiographic Data
Joachim A. Behar, Aviv A. Rosenberg, Ido Weiser-Bitoun et al. Frontiers in Physiology, 2018. Cites: paper -
An open source benchmarked toolbox for cardiovascular waveform and interval analysis
Adriana Nicholson Vest, Giulia Da Poian, Qiao Li et al. Physiological Measurement, 2018. Cites: paper -
ECG Heart Beat Detection Using Modified Slope Sum Function and Teager-Kaiser Energy Method
Shalini A. Rankawat. International Conference on BioSignal Analysis, Processing and Systems (ICBAPS), 2018. Cites: paper -
A clustering-based method for single-channel fetal heart rate monitoring
Encarnación Castillo, Diego Pedro Morales, Antonio García et al. PLoS ONE, 2018. Cites: paper -
Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector
Вадим Глинер, Joachim A. Behar, Yael Yaniv. JMIR mhealth and uhealth, 2018. Cites: paper -
Foetal heart rate estimation by empirical mode decomposition and MUSIC spectrum
Zheng Wei, Xiaolong Li, Jin Zhu et al. Biomedical Signal Processing and Control, 2018. Cites: paper -
An Improved FastICA Method for Fetal ECG Extraction
Li Yuan, Zhuhuang Zhou, Yanchao Yuan et al. Computational and Mathematical Methods in Medicine, 2018. Cites: paper -
Non-invasive Detection and Compression of Fetal Electrocardiogram
Xin Gao. InTech eBooks, 2017. Cites: paper -
Foetal ECG extraction using non‐linear adaptive noise canceller with multiple primary channels
Yaping Ma, Yegui Xiao, Guo Wei et al. IET Signal Processing, 2017. Cites: paper -
Rhythm and Quality Classification from Short ECGs Recorded using a Mobile Device
Joachim A. Behar, Aviv A. Rosenberg, Yael Yaniv et al. Computing in cardiology, 2017. Cites: paper -
Benchmarking heart rate variability toolboxes
Adriana Nicholson Vest, Qiao Li, Chengyu Liu et al. Journal of Electrocardiology, 2017. Cites: paper -
Performance of an open-source heart sound segmentation algorithm on eight independent databases
Chengyu Liu, David Springer, Gari D. Clifford. Physiological Measurement, 2017. Cites: paper -
Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms
Radek Martínek, Radana Vilimkova Kahankova, Homer Nazeran et al. Sensors, 2017. Cites: paper -
A Combined Independent Source Separation and Quality Index Optimization Method for Fetal ECG Extraction from Abdominal Maternal Leads
Lucia Billeci, M. Varanini. Sensors, 2017. Cites: paper
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