Cited by
Random Search Toolbox (v1.0.0)
180 publications cite any version of this project or its primary paper, newest first.
-
Fetal ECG Analysis Using Biophysical Modeling and Deep Learning
Shubhada Ghugardare, Mangal V. Patil. IntechOpen eBooks, 2026. Cites: paper -
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 -
Flexible Composites Based on PEDOT:PSS for Environmentally Friendly Electrocardiography Electrodes
María Elena Sánchez Vergara, José Miguel Rocha Flores, Marisol Martínez-Alanís et al. Polymers, 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 -
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 -
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 -
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 -
Enhanced fetal electrocardiogram extraction via optimized template subtraction: A simplified approach for improved prenatal monitoring
Mehdi Hosseinzadeh, Saqib Ali, Amir Masoud Rahmani et al. Computers & Electrical Engineering, 2025. Cites: paper -
Innovative Flexible Conductive Polymer Composites for Wearable Electrocardiogram Electrodes and Flexible Strain Sensors
María Elena Sánchez Vergara, Joaquín André Hernández Méndez, Carlos Ian Herrera Navarro et al. Journal of Composites Science, 2025. Cites: paper -
SCTD-ICA: A ICA-Based Approach for Fetal ECG Extraction From Single Channel Abdominal ECG
Amirreza Asadi, Aboozar Ghaffari. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper -
Estimated atrial fibrillation burden on early rhythm-control and cardiovascular events in the EAST-AFNET 4 trial
Stef Zeemering, Katrin Borof, Ulrich Schotten et al. EClinicalMedicine, 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 -
Accurate RR-interval extraction from single-lead, telehealth electrocardiogram signals
Sharon Yuen Shan Ho, Zixuan Ding, David Wong et al. medRxiv, 2025. Cites: paper -
The MSPTDfast photoplethysmography beat detection algorithm: design, benchmarking, and open-source distribution
Peter H Charlton, Erick Javier Argüello Prada, Jonathan Mant et al. Physiological Measurement, 2025. Cites: paper -
Design and Implementation of Fetal Heart Rate Measuring System on MATLAB Simulink
Twarita Singh, Tanishq Dixit, Pragya Paliwal et al. Algorithms for intelligent systems, 2025. Cites: paper -
Signal Processing Innovations in Fetal ECG Analysis for Prenatal Monitoring
Shubhada Ghugardare, Mangal V. Patil. Lecture notes in networks and systems, 2025. Cites: paper -
Assessment of Physiological Signals from Photoplethysmography Sensors Compared to an Electrocardiogram Sensor: A Validation Study in Daily Life
Rana Zia Ur Rehman, Meenakshi Chatterjee, Nikolay V. Manyakov et al. Sensors, 2024. Cites: paper -
R-Wave Detection From ECG Signal with K-Mean Clustering
Mogu Shrakana, Miki Yuuki, Zhang Shao et al. Research Square, 2024. Cites: paper -
Elicitation of fetal ECG from abdominal recordings using Blind Source Separation techniques and Robust Set Membership Affine Projection algorithm for signal quality enhancement
Shivangi Diwan, Mridu Sahu, Vikrant Bhateja. Computers in Biology and Medicine, 2024. Cites: paper -
Joey: Supporting Kangaroo Mother Care with Computational Fabrics
Qijia Shao, Jiting Liu, Emily Bejerano et al. International Conference on Mobile Systems, Applications, and Services, 2024. Cites: paper -
PCA-Based Preprocessing for Clustering-Based Fetal Heart Rate Extraction in Non-Invasive Fetal Electrocardiograms
Luis Oyarzún, Encarnación Castillo, Luis Parrilla et al. Electronics, 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 -
FetalCare: A Home Telemonitoring System for Wearable Fetal-ECG and EHG Acquisition During Pregnancy
Hao Li, Liheng Liu, Jun Zhao et al. IEEE Sensors Journal, 2024. Cites: paper -
Fetal QRS extraction from single-channel abdominal ECG using adaptive improved permutation entropy
Nastaran Mansourian, Sadaf Sarafan, Farah Torkamani Azar et al. Physical and Engineering Sciences in Medicine, 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 -
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 -
Fetal monitoring technologies for the detection of intrapartum hypoxia - challenges and opportunities
Nadia Muhammad Hussain, Martin O’Halloran, Barry McDermott et al. Biomedical Physics & Engineering Express, 2023. Cites: paper -
Single-Channel Maternal ECG Removal with Block Residual Network
Wei Zhong, Jiahui Luo. Frontiers in artificial intelligence 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 -
Impedance cardiogram based exploration of cardiac mechanisms in post‐traumatic stress disorder during trauma recall
Shafa‐at Ali Sheikh, Amit Jasvant Shah, J. Douglas Bremner et al. Psychophysiology, 2023. Cites: paper -
Joint Improved Fast Independent Component Analysis and Singular Value Decomposition for Fetal Electrocardiogram Extraction
Tan Li, Lin Sun, Lei Zhao et al. Critical Reviews in Biomedical Engineering, 2023. Cites: paper -
Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification
Amnon Bleich, Antje Linnemann, Benjamin Jaidi et al. Machine Learning and Knowledge Extraction, 2023. Cites: paper -
A Novel Approach to Fetal ECG Extraction Using Temporal Convolutional Encoder–Decoder Network (TCED-Net)
Haiping Huang. Pediatric Cardiology, 2023. Cites: paper -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
Promit Basak, Ahsanul Hoque Sakib, Muhammad E. H. Chowdhury et al. Expert Systems with Applications, 2023. Cites: paper -
New Features for the Detection of Fetal QRS Complexes in Non-Invasive Fetal Electrocardiograms
Nithin Lakshmisha, Aman Butoliya, Varun Bajaj et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper -
An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring
Theodoros Lampros, Konstantinos Kalafatakis, Νικόλαος Γιαννακέας et al. Array, 2023. Cites: paper -
Deep Learning with Sparse Representations for Biomedical Signals
Nithin Lakshmisha, Kishore Kumar Tarafdar, Aman Butoliya et al. International Conference on Microwave, Optical and Communication Engineering, 2023. Cites: paper -
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
Arafat Rahman, Sakib Mahmud, Muhammad E. H. Chowdhury et al. Engineering Applications of Artificial Intelligence, 2023. Cites: paper -
RETRACTED ARTICLE: Single-channel fetal ECG extraction method based on extended Kalman filtering with singular value decomposition algorithm
Bandi Smitha, V. B. S. Srilatha Indira Dutt. Soft Computing, 2023. Cites: paper -
A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters
Xuan Yu, Xiangyu Zhang, Shuyue Stella Li et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper -
Wrist photoplethysmography-based assessment of ectopic burden in hemodialysis patients
Birutė Paliakaitė, Andrius Sološenko, Saulius Daukantas et al. Biomedical Signal Processing and Control, 2023. Cites: paper -
AAFA-Net: Adaptive Amplitude-Frequency Attention Network for Fetal Monitoring From Noninvasive Abdominal Recordings
Yong Liao, Xu Wang, Yang Han et al. IEEE Transactions on Instrumentation and Measurement, 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 -
ECG Measurement System for Vehicle Implementation and Heart Disease Classification Using Machine Learning
Cheol Hui Lee, Seong Han Kim. IEEE Access, 2023. Cites: paper -
Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two Wavelet-Based Denoising Algorithms
P Darsana, Vaegae Naveen Kumar. IEEE Access, 2023. 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 -
A Hybrid Technique for Non-Invasive Fetal ECG Extraction and Heart Rate Estimation From the Mother’s Abdomen Signal
Vinita Yerande, Kalyani Bhole, Dayaram Sonawane et al. International Conference on Artificial Intelligence of Things (ICAIoT), 2022. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.