Cardiac arrhythmias detection in an ECG beat signal using fast fourier transform and artificial neural network

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Google-based Impact Factor: 0.66
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"Cardiac arrhythmias detection in an ECG beat signal using fast fourier transform and artificial neural network"
written by Himanshu Gothwal, Silky Kedawat, Rajesh Kumar,
published by Journal of Biomedical Science and Engineering, Vol.4 No.4, 2011

has been cited by the following article(s):

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[51]	A study on ECG signal characterization and practical implementation of some ECG characterization techniques Measurement, 2019 DOI:10.1016/j.measurement.2019.02.040

[52]	Effective Arrhythmia Detection using Majority Voting 2019 International Conference on System Science and Engineering (ICSSE), 2019 DOI:10.1109/ICSSE.2019.8823458

[53]	Theory and Applications of Time Series Analysis Contributions to Statistics, 2019 DOI:10.1007/978-3-030-26036-1_7

[54]	An Approach to Evaluation of Clinically Healthy People by Preventive Cardio Control Cybernetics and Information Technologies, 2019 DOI:10.2478/cait-2019-0020

[55]	An Approach to Evaluation of Clinically Healthy People by Preventive Cardio Control Cybernetics and Information Technologies, 2019 DOI:10.2478/cait-2019-0020

[56]	Novel frequency analysis of signal‐averaged electrocardiograms is predictive of adverse outcomes in implantable cardioverter defibrillator patients Annals of Noninvasive Electrocardiology, 2019 DOI:10.1111/anec.12629

[57]	An Approach to Evaluation of Clinically Healthy People by Preventive Cardio Control Cybernetics and Information Technologies, 2019 DOI:10.2478/cait-2019-0020

[58]	ECGLens Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018 DOI:10.1145/3173574.3174237

[59]	ECGLens Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018 DOI:10.1145/3173574.3174237

[60]	GARMA Modeling of ECG and Classification of Arrhythmia 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), 2018 DOI:10.1109/ISMS.2018.00015

[61]	Proceedings of 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications Lecture Notes in Electrical Engineering, 2018 DOI:10.1007/978-981-10-4280-5_16

[62]	Detection and classification of cardiovascular abnormalities using FFT based multi-objective genetic algorithm Biotechnology & Biotechnological Equipment, 2018 DOI:10.1080/13102818.2017.1389303

[63]	Artificial Intelligence and Radiology: Have Rumors of the Radiologist's Demise Been Greatly Exaggerated? Academic Radiology, 2018 DOI:10.1016/j.acra.2017.12.027

[64]	Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate Sensors, 2018 DOI:10.3390/s18061802

[65]	Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG IEEE Transactions on Biomedical Engineering, 2018 DOI:10.1109/TBME.2017.2756869

[66]	ECGLens Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018 DOI:10.1145/3173574.3174237

[67]	Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things Journal of Medical Systems, 2018 DOI:10.1007/s10916-018-1107-2

[68]	A Comparative Study of FFT, DCT, and DWT for Efficient Arrhytmia Classification in RP-RF Framework International Journal of E-Health and Medical Communications, 2018 DOI:10.4018/IJEHMC.2018010103

[69]	Integrated Virtual Laboratory in Engineering Mathematics Education: Fourier Theory IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2873815

[70]	Design and analysis of feature extraction algorithm for ECG signals using adaptive threshold method 2017 Trends in Industrial Measurement and Automation (TIMA), 2017 DOI:10.1109/TIMA.2017.8064801

[71]	Machine Learning and Knowledge Discovery in Databases Lecture Notes in Computer Science, 2017 DOI:10.1007/978-3-319-71249-9_47

[72]	A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm Computer Methods and Programs in Biomedicine, 2017 DOI:10.1016/j.cmpb.2017.02.028

[73]	Wireless Mobile Communication and Healthcare Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2017 DOI:10.1007/978-3-319-58877-3_24

[74]	Machine Learning and Knowledge Discovery in Databases Lecture Notes in Computer Science, 2017 DOI:10.1007/978-3-319-71249-9_47

[75]	FORECAST AND EXPLICATION OF ECG SIGNAL ONGOINGS USING SOFT COMPUTING TECHNIQUES i-manager's Journal on Digital Signal Processing, 2016 DOI:10.26634/jdp.4.1.4861

[76]	Variability and degradation of homeostasis in self-sustained oscillators Mathematical Biosciences, 2016 DOI:10.1016/j.mbs.2016.01.002

[77]	Code generator for implementing dual tree complex wavelet transform on reconfigurable architectures for mobile applications Healthcare Technology Letters, 2016 DOI:10.1049/htl.2016.0034

[78]	ECG signal processing for recognition of cardiovascular diseases: A survey 2016 Sixth International Conference on Innovative Computing Technology (INTECH), 2016 DOI:10.1109/INTECH.2016.7845089

[79]	Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases Circuits, Systems, and Signal Processing, 2015 DOI:10.1007/s00034-014-9864-8

[80]	Intelligent classification of ECG signals to distinguish between pre and on-music states 2015 7th Conference on Information and Knowledge Technology (IKT), 2015 DOI:10.1109/IKT.2015.7288790

[81]	Feature extraction of ECG signal based on wavelet transform for arrhythmia detection 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 DOI:10.1109/EESCO.2015.7253954

[82]	MATLAB based ECG signal noise removal and its analysis 2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015 DOI:10.1109/RAECS.2015.7453385

[83]	ECG signal classification using Hjorth Descriptor 2015 International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT), 2015 DOI:10.1109/ICACOMIT.2015.7440181

[84]	A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines Expert Systems with Applications, 2015 DOI:10.1016/j.eswa.2015.06.046

[85]	Feature Extraction and Classification of ECG Signal Using Neuro-Wavelet Approach i-manager's Journal on Digital Signal Processing, 2015 DOI:10.26634/jdp.3.4.3708

[86]	Artificial Computation in Biology and Medicine Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-18914-7_14

[87]	Artificial Computation in Biology and Medicine Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-18914-7_14

[88]	On handling negative transfer and imbalanced distributions in multiple source transfer learning Statistical Analysis and Data Mining: The ASA Data Science Journal, 2014 DOI:10.1002/sam.11217

[89]	An efficient abnormal beat detection scheme from ECG signals using neural network and ensemble classifiers The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014), 2014 DOI:10.1109/SKIMA.2014.7083561

[90]	An intelligent biological inspired evolutionary algorithm for the suppression of incubator interference in premature infants ECG Soft Computing, 2014 DOI:10.1007/s00500-013-1078-7

[91]	Feature elimination based random subspace ensembles learning for ECG arrhythmia diagnosis Soft Computing, 2014 DOI:10.1007/s00500-013-1079-6

[92]	On handling negative transfer and imbalanced distributions in multiple source transfer learning Statistical Analysis and Data Mining: The ASA Data Science Journal, 2014 DOI:10.1002/sam.11217

[93]	Identification of Premature Ventricular Contraction (PVC) Caused by Disturbances in Calcium and Potassium Ion Concentrations Using Artificial Neural Networks Health, 2014 DOI:10.4236/health.2014.611162

[94]	Autocorrelation method for fractal analysis in nonrectangular image domains Optics Letters, 2013 DOI:10.1364/OL.38.004477

[95]	Engineering Applications of Neural Networks Communications in Computer and Information Science, 2013 DOI:10.1007/978-3-642-41013-0_29

[96]	Natural and Artificial Models in Computation and Biology Lecture Notes in Computer Science, 2013 DOI:10.1007/978-3-642-38637-4_19

[97]	Heart Arrhythmia Detection using support vector machines Intelligent Automation & Soft Computing, 2013 DOI:10.1080/10798587.2013.771456

[98]	Natural and Artificial Models in Computation and Biology Lecture Notes in Computer Science, 2013 DOI:10.1007/978-3-642-38637-4_19

[99]	Engineering Applications of Neural Networks Communications in Computer and Information Science, 2012 DOI:10.1007/978-3-642-32909-8_20

[100]	Improved Fourier-based characterization of intracellular fractal features Optics Express, 2012 DOI:10.1364/OE.20.023442

[101]	Bio-signal Processing Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN) 2012 10th International Conference on Frontiers of Information Technology, 2012 DOI:10.1109/FIT.2012.54

[102]	Using neural networks to predict cardiac arrhythmias 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012 DOI:10.1109/ICSMC.2012.6377734

[103]	Pulse oximeter based monitoring system for people at risk 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI), 2012 DOI:10.1109/CINTI.2012.6496802

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