Fetal ECG Extraction from Maternal Abdominal ECG Using Neural Network

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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"Fetal ECG Extraction from Maternal Abdominal ECG Using Neural Network"
written by M. A. HASAN, M. I. IBRAHIMY, M. B. I. REAZ,
published by Journal of Software Engineering and Applications, Vol.2 No.5, 2009

has been cited by the following article(s):

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[1]	Implementação da Comunicação Sem Fio de um Módulo Estimador da Frequência Cardíaca Fetal Baseado em FPGA


[2]	A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction
	Multimedia Tools and Applications, 2022

[3]	Non-Invasive Fetal Electrocardiogram Monitoring Techniques: Potential and Future Research Opportunities in Smart Textiles
	Signals, 2021

[4]	An improved parallel sub-filter adaptive noise canceler for the extraction of fetal ECG
	2021

[5]	Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review
	2021

[6]	多通道胎儿心电提取的经验模态分解和准周期成分提取方法
	2020

[7]	A COMPARISON ON VARIANTS OF LMS USED IN FIR ADAPTIVE NOISE CANCELLERS FOR FETAL ECG EXTRACTION
	2020

[8]	A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography
	2019

[9]	Novel Hybrid Extraction Systems for Fetal Heart Rate Variability Monitoring Based on Non-Invasive Fetal Electrocardiogram
	2019

[10]	A Wavelet architecture for Abdominal ECG preprocessing and fetal QRS detection implemented in FPGA using 90nm technology
	International Journal of Recent Technology and Engineering, 2019

[11]	Identification of fetal QRS with base of abdominal electrocardiogram using backpropagation artifical neural network
	2019

[12]	Enhancement Separation of ECG Signals for Twin Fetuses Based on Modified Blind Source Separation
	2019

[13]	Multiple Sub-Filter Adaptive Noise Canceller for Fetal ECG Extraction
	2019

[14]	Advanced Signal Processing Methods for Non-invasive Fetal Electrocardiogram Extraction
	2019

[15]	Efficient FPGA‐based VLSI architecture for detecting R‐peaks in electrocardiogram signal by combining Shannon energy with Hilbert transform
	IET Signal Processing, 2018

[16]	Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring
	Frontiers in physiology, 2018

[17]	Efficient FPGA-based VLSI architecture for detecting R-peaks in electrocardiogram signal by combining Shannon energy with Hilbert transform
	IET Signal Processing, 2018

[18]	Fetal Electrocardiogram Extraction Based on Fast ICA and Wavelet Denoising
	2018

[19]	Proposta de uma Arquitetura de Redes Neurais para Estimativa da Frequência Cardíaca Fetal a Partir do ECG Abdominal em Gestantes
	2018

[20]	Comparative effectiveness of ica and pca in extraction of fetal ecg from abdominal signals: Towards non-invasive fetal monitoring
	2018

[21]	An Efficient Adaptive Filter for Fetal ECG Extraction Using Neural Network
	Journal of Intelligent Systems, 2017

[22]	A NOVEL ALGORITHM FOR THE ARRHYTHMIA DIAGNOSIS IN FETAL MONITORING SYSTEM
	Emerging Technologies in Networking and Security (ETNS), 2016

[23]	Neural network based on Verilog HDL for fetal ECG extraction
	2016

[24]	Foetal ECG extraction using BPN and UWT
	International Journal of Biomedical Engineering and Technology, 2016

[25]	Noninvasive fetal electrocardiography: an overview of the signal electrophysiological meaning, recording procedures, and processing techniques
	Annals of Noninvasive Electrocardiology, 2015

[26]	Investigations onrespiratory signal classifications using artifical intelligence
	2015

[27]	Haar Wavelet Transform and Principal Component Analysis for Fetal QRS Classification from Abdominal Maternal ECG Recordings
	2015

[28]	Fetus ECG filtering by ANFIS with Adaptive FIR filter
	2015

[29]	Joint blind source separation algorithms in the separation of non-invasive maternal and fetal ECG
	2014

[30]	Comparison of Algorithms for Fetal ECG Extraction
	International Journal of Engineering Trends and Technology (IJETT), 2014

[31]	Application of projective filtering to fetal electrocardiography
	Electronics and Communication Systems (ICECS), 2014 International Conference on. IEEE, 2014

[32]	基于奇异值降维的胎心电盲分离方法
	中国医学物理学杂志, 2013

[33]	Detection of fetal ecg from abdominal ecg recordings using anfis and equalizer
	2013

[34]	Hardware prototyping of neural network based fetal electrocardiogram extraction
	Measurement Science Review, 2012

[35]	Fetal ECG representation using recurrence plot analysis
	Application of Information and Communication Technologies (AICT), 2012 6th International Conference on. IEEE, 2012

[36]	Télésurveillance: Transmission sans fil, par voie GSM, et traitement du signal électrocardiographie (ECG)
	2012

[37]	Heuristic RNN-based Kalman filter using for fetal electrocardiogram extraction

[1]	A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-022-13391-0

[2]	A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction Multimedia Tools and Applications, 2022 DOI:10.1007/s11042-022-13391-0

[3]	Heuristic RNN-based Kalman filter for fetal electrocardiogram extraction Journal of Intelligent & Fuzzy Systems, 2022 DOI:10.3233/JIFS-221549

[4]	Non-Invasive Fetal Electrocardiogram Monitoring Techniques: Potential and Future Research Opportunities in Smart Textiles Signals, 2021 DOI:10.3390/signals2030025

[5]	An improved parallel sub-filter adaptive noise canceler for the extraction of fetal ECG Biomedical Engineering / Biomedizinische Technik, 2021 DOI:10.1515/bmt-2020-0313

[6]	Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review IEEE Antennas and Propagation Magazine, 2021 DOI:10.1109/MAP.2020.3043469

[7]	An improved parallel sub-filter adaptive noise canceler for the extraction of fetal ECG Biomedical Engineering / Biomedizinische Technik, 2021 DOI:10.1515/bmt-2020-0313

[8]	A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography IEEE Reviews in Biomedical Engineering, 2020 DOI:10.1109/RBME.2019.2938061

[9]	A COMPARISON ON VARIANTS OF LMS USED IN FIR ADAPTIVE NOISE CANCELLERS FOR FETAL ECG EXTRACTION Biomedical Engineering: Applications, Basis and Communications, 2020 DOI:10.4015/S101623722050026X

[10]	Enhancement Separation of ECG Signals for Twin Fetuses Based on Modified Blind Source Separation 2019 4th Scientific International Conference Najaf (SICN), 2019 DOI:10.1109/SICN47020.2019.9019363

[11]	Multiple Sub-Filter Adaptive Noise Canceller for Fetal ECG Extraction Procedia Computer Science, 2019 DOI:10.1016/j.procs.2020.01.093

[12]	Novel Hybrid Extraction Systems for Fetal Heart Rate Variability Monitoring Based on Non-Invasive Fetal Electrocardiogram IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2933717

[13]	Identification of fetal QRS with base of abdominal electrocardiogram using backpropagation artifical neural network INTERNATIONAL CONFERENCE ON SCIENCE AND APPLIED SCIENCE (ICSAS) 2019, 2019 DOI:10.1063/1.5141712

[14]	Fetal Electrocardiogram Extraction Based on Fast ICA and Wavelet Denoising 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC), 2018 DOI:10.1109/IMCEC.2018.8469501

[15]	Efficient FPGA-based VLSI architecture for detecting R-peaks in electrocardiogram signal by combining Shannon energy with Hilbert transform IET Signal Processing, 2018 DOI:10.1049/iet-spr.2017.0201

[16]	Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring Frontiers in Physiology, 2018 DOI:10.3389/fphys.2018.00648

[17]	An Efficient Adaptive Filter for Fetal ECG Extraction Using Neural Network Journal of Intelligent Systems, 2017 DOI:10.1515/jisys-2017-0031

[18]	Haar wavelet transform and principal component analysis for fetal QRS classification from abdominal maternal ECG recordings 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA), 2015 DOI:10.1109/STSIVA.2015.7330451

[19]	Noninvasive Fetal Electrocardiography: An Overview of the Signal Electrophysiological Meaning, Recording Procedures, and Processing Techniques Annals of Noninvasive Electrocardiology, 2015 DOI:10.1111/anec.12259

[20]	Noninvasive Fetal Electrocardiography: An Overview of the Signal Electrophysiological Meaning, Recording Procedures, and Processing Techniques Annals of Noninvasive Electrocardiology, 2015 DOI:10.1111/anec.12259

[21]	Joint blind source separation algorithms in the separation of non-invasive maternal and fetal ECG 2014 International Conference on Electronics and Communication Systems (ICECS), 2014 DOI:10.1109/ECS.2014.6892754

[22]	Application of projective filtering to fetal electrocardiography 2014 International Conference on Electronics and Communication Systems (ICECS), 2014 DOI:10.1109/ECS.2014.6892600

[23]	Fetal ECG representation using recurrence plot analysis 2012 6th International Conference on Application of Information and Communication Technologies (AICT), 2012 DOI:10.1109/ICAICT.2012.6398488

[24]	Hardware Prototyping of Neural Network based Fetal Electrocardiogram Extraction Measurement Science Review, 2012 DOI:10.2478/v10048-012-0007-8

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