BIOMAT Database Logo BIOMAT Database Logo

Detection of ECG waveforms by neural networks. 1997

Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Istanbul Technical University, Electrical & Electronics Engineering Department, Turkey.

In this study, ECG waveform detection was performed by using artificial neural networks (ANNs). Initially, the R peak of the QRS complex is detected, and then feature vectors are formed by using the amplitudes of the significant frequency components of the DFT spectrum. Grow and Learn (GAL) and Kohonen networks are comparatively investigated to detect four different ECG waveforms. The comparative performance results of GAL and Kohonen networks are reported.

UI MeSH Term Description Entries
D002037 Bundle-Branch Block A form of heart block in which the electrical stimulation of HEART VENTRICLES is interrupted at either one of the branches of BUNDLE OF HIS thus preventing the simultaneous depolarization of the two ventricles. Fascicular Block,Anterior Fascicular Block,Bundle Branch Block,Left Bundle-Branch Block,Posterior Fascicular Block,Right Bundle-Branch Block,Anterior Fascicular Blocks,Block, Anterior Fascicular,Block, Bundle Branch,Block, Bundle-Branch,Block, Fascicular,Block, Left Bundle-Branch,Block, Posterior Fascicular,Block, Right Bundle-Branch,Blocks, Anterior Fascicular,Blocks, Bundle Branch,Blocks, Bundle-Branch,Blocks, Fascicular,Blocks, Left Bundle-Branch,Blocks, Posterior Fascicular,Blocks, Right Bundle-Branch,Branch Block, Bundle,Branch Blocks, Bundle,Bundle Branch Blocks,Bundle-Branch Block, Left,Bundle-Branch Block, Right,Bundle-Branch Blocks,Bundle-Branch Blocks, Left,Bundle-Branch Blocks, Right,Fascicular Block, Anterior,Fascicular Block, Posterior,Fascicular Blocks,Fascicular Blocks, Anterior,Fascicular Blocks, Posterior,Left Bundle Branch Block,Left Bundle-Branch Blocks,Posterior Fascicular Blocks,Right Bundle Branch Block,Right Bundle-Branch Blocks
D004562 Electrocardiography Recording of the moment-to-moment electromotive forces of the HEART as projected onto various sites on the body's surface, delineated as a scalar function of time. The recording is monitored by a tracing on slow moving chart paper or by observing it on a cardioscope, which is a CATHODE RAY TUBE DISPLAY. 12-Lead ECG,12-Lead EKG,12-Lead Electrocardiography,Cardiography,ECG,EKG,Electrocardiogram,Electrocardiograph,12 Lead ECG,12 Lead EKG,12 Lead Electrocardiography,12-Lead ECGs,12-Lead EKGs,12-Lead Electrocardiographies,Cardiographies,ECG, 12-Lead,EKG, 12-Lead,Electrocardiograms,Electrocardiographies, 12-Lead,Electrocardiographs,Electrocardiography, 12-Lead
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D016571 Neural Networks, Computer A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming. Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron
D018879 Ventricular Premature Complexes A type of cardiac arrhythmia with premature contractions of the HEART VENTRICLES. It is characterized by the premature QRS complex on ECG that is of abnormal shape and great duration (generally >129 msec). It is the most common form of all cardiac arrhythmias. Premature ventricular complexes have no clinical significance except in concurrence with heart diseases. Extrasystole, Ventricular,Premature Ventricular Beats,Premature Ventricular Contractions,Ventricular Ectopic Beats,Premature Ventricular Complex,Ventricular Premature Complex,Ectopic Beat, Ventricular,Ectopic Beats, Ventricular,Premature Ventricular Beat,Premature Ventricular Contraction,Ventricular Beat, Premature,Ventricular Beats, Premature,Ventricular Complex, Premature,Ventricular Contraction, Premature,Ventricular Contractions, Premature,Ventricular Ectopic Beat,Ventricular Extrasystole,Ventricular Extrasystoles

Related Publications

Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks.
January 2021, PloS one,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Applications of artificial neural networks for ECG signal detection and classification.
January 1993, Journal of electrocardiology,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Classification of impulse radar waveforms using neural networks.
March 1994, International journal of neural systems,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Premature Ventricular Contraction Detection from Ambulatory ECG Using Recurrent Neural Networks.
July 2018, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Compensatory fuzzy neural networks-based intelligent detection of abnormal neonatal cerebral Doppler ultrasound waveforms.
September 2001, IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Analysis of ECG waveforms by clustering methods.
January 1981, Advances in cardiology,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Neural networks for analysis of ECG complexes.
January 1993, Journal of electrocardiology,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
QRS Detection and Measurement Method of ECG Paper Based on Convolutional Neural Networks.
July 2018, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Acne Detection by Ensemble Neural Networks.
September 2022, Sensors (Basel, Switzerland),
Z Dokur, and T Olmez, and E Yazgan, and O K Ersoy
Interpretation of Doppler blood flow velocity waveforms using neural networks.
January 1994, Proceedings. Symposium on Computer Applications in Medical Care,
Copied contents to your clipboard!