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180 publications cite any version of this project or its primary paper, newest first.
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Adding heart rate n-variability (HRnV) to clinical assessment potentially improves prediction of serious bacterial infections in young febrile infants at the emergency department: a prospective observational study
Shu‐Ling Chong, Chenglin Niu, Rupini Piragasam et al. Annals of Translational Medicine, 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 -
Photoplethysmography-Based Heart Action Monitoring Using a Growing Multilayer Network
Lu Wang, Chunhui Zhao, Lei Huang et al. IEEE Sensors Journal, 2022. Cites: paper -
[Fetal ECG extraction using temporal convolutional encoder-decoder network].
Shi Cao, Guanqi Gong, Hui Xiao et al. PubMed Central, 2022. Cites: paper -
A Dual Attention-Based Autoencoder Model for Fetal ECG Extraction From Abdominal Signals
Hamidreza Ghonchi, Vahid Abolghasemi. IEEE Sensors Journal, 2022. Cites: paper -
A comparative study of the performance of methods for f-wave extraction
Sara Mihandoost, Leif Sörnmo, Matthieu Doyen et al. Physiological Measurement, 2022. Cites: paper -
Machine learning to support triage of children at risk for epileptic seizures in the pediatric intensive care unit
Raphael Azriel, Cecil D. Hahn, Thomas De Cooman et al. Physiological Measurement, 2022. Cites: paper -
Improving Upper-limb Prosthesis Usability: Cognitive Workload Measures Quantify Task Difficulty
Michael D. Paskett, Jhorg K. Garcia, Sonny T. Jones et al. medRxiv, 2022. Cites: paper -
Non-invasive Single Channel integration model for fetal ECG extraction and sustainable fetal healthcare using wavelet framework
Ritu Singh, Navin Rajpal, Rajesh Mehta. Multimedia Tools and Applications, 2022. Cites: paper -
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Peter H Charlton, Kevin Kotzen, Elisa Mejía‐Mejía et al. Physiological Measurement, 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 -
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 -
Heart rate estimation and validation algorithm for fetal phonocardiography
Amrutha Bhaskaran, Sidhesh Kumar J, Shirley George et al. Physiological Measurement, 2022. Cites: paper -
Data‐driven approach for automatic detection of aortic valve opening: B point detection from impedance cardiogram
Shafa‐at Ali Sheikh, Nil Z. Gurel, Shishir Gupta et al. Psychophysiology, 2022. Cites: paper -
Revisiting statistical physics tools for the complex time-frequency characterization of physiological signals
Alexandre Guillet. 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 -
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 -
Associations between locus coeruleus MRI contrast and physiological responses to acute stress in younger and older adults
Shelby L. Bachman, Kaoru Nashiro, Hyun Joo Yoo et al. Brain Research, 2022. Cites: paper -
Validation of a new impedance cardiography analysis algorithm for clinical classification of stress states
Shafa‐at Ali Sheikh, Nil Z. Gurel, Shishir Gupta et al. Psychophysiology, 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 -
Fetal ECG extraction algorithm based on single-channel abdominal signals
Bandi Smitha, V. Sandeep Kumar, B. S. Srilatha Indira Dutt. AIP conference proceedings, 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 -
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 -
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 -
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis
Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong et al. arXiv (Cornell University), 2021. Cites: paper -
An Autoencoder-Based Fetal Heart Rate Detector for Noninvasive Recordings
Abuzar Qureshi, Lu Wang, Tomoaki Otsuki Ohtsuki et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper -
Fractional Order Butterworth Filter for Fetal Electrocardiographic Signal Feature Extraction
Hadi Mohsen Alkanfery, Ibrahim Mustafa Mehedi. Signal & Image Processing An International Journal, 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 -
Fetal ECG Extraction From Maternal ECG Using Attention-Based CycleGAN
Mohammad Reza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper -
A signal quality assessment–based ECG waveform delineation method used for wearable monitoring systems
Jialing Xie, Peng Li, Wei Liang et al. Medical & Biological Engineering & Computing, 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 -
QRS Detection Based on Medical Knowledge and Cascades of Moving Average Filters
Lorenzo Bachi, Lucia Billeci, M. Varanini. Applied Sciences, 2021. Cites: paper -
Method of Extracting Fetal QRS for Single-Lead Abdominal ECG Signal Based On Combined Compressive Sensing and Clustering Analysis
Yapeng Dong, Wenbo Ju, Jiancheng Hu et al. Research Square, 2021. Cites: paper -
Non-Invasive Fetal Electrocardiogram Monitoring Techniques: Potential and Future Research Opportunities in Smart Textiles
Geetika Aggarwal, Yang Wei. Signals, 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 -
Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero
Tetiana Biloborodova, Łukasz Ścisło, Inna Skarga-Bandurova et al. Mathematical Biosciences & Engineering, 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 -
Knowledge-Based QRS Detection performed by a Cascade of Moving Average Filters
Lorenzo Bachi, Lucia Billeci, M. Varanini. Computing in cardiology, 2020. Cites: paper -
WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity
Isabela Albuquerque, Abhishek Tiwari, Mark Parent et al. Frontiers in Neuroscience, 2020. Cites: paper -
A review of fetal cardiac monitoring, with a focus on low- and middle-income countries
Camilo E. Valderrama, Nasim Ketabi, Faezeh Marzbanrad et al. Physiological Measurement, 2020. Cites: paper -
Preliminary Assessment of Human Biological Responses to Low-level Ozone
Tahmid Latif, Laura López González, James P. Dieffenderfer et al. Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ..., 2020. Cites: paper -
Noninvasive Fetal Electrocardiography: Models, Technologies, and Algorithms
Reza Sameni. Springer eBooks, 2020. Cites: paper -
Multi-label Feature Selection for Long-term Electrocardiogram Signals
Yuwen Li, Zhimin Zhang, Fan Zhou et al. International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2020. Cites: paper -
Initial Investigation into Neurophysiological Correlates of Argentine Tango Flow States: a Case Study
Raymundo Cassani, Abhishek Tiwari, Ilona R. Posner et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2020. Cites: paper -
Movement Artifact-Robust Mental Workload Assessment During Physical Activity Using Multi-Sensor Fusion
Abhishek Tiwari, Raymundo Cassani, Jean-Francois Gagnon et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2020. Cites: paper -
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
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