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Keyword

ECG classification

Description: The computational task of assigning electrocardiogram signals or segments to diagnostic, physiological, or other predefined categories.
OpenAlex ID: keywords/ecg-classification
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
2018 · Özal Yildirim · Computers in Biology and Medicine · 835
Advanced Methods And Tools for ECG Data Analysis
2006 · Gari D. Clifford, Francisco Azuaje, et al. · 808
The Minnesota code manual of electrocardiographic findings: Standards and procedures for measurement and classification
1982 · Ronald J. Prineas, Richard S. Crow, et al. · 701
Deep learning approach for active classification of electrocardiogram signals
2016 · M.M. Al Rahhal, Yakoub Bazi, et al. · Information Sciences · 627
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A survey on ECG analysis
2018 · Selcan Kaplan Berkaya, Alper Kursat Uysal, et al. · Biomedical Signal Processing and Control · 619
Three learning phases for radial-basis-function networks
2001 · Friedhelm Schwenker, Hans A. Kestler, et al. · Neural Networks · 533
ECG Classification Using Wavelet Packet Entropy and Random Forests
2016 · Taiyong Li, Min Zhou · Entropy · 479
Classification of myocardial infarction with multi-lead ECG signals and deep CNN
2019 · Ulas Baran Baloglu, Muhammed Talo, et al. · Pattern Recognition Letters · 475
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
2019 · Saeed Saadatnejad, Mohammadhosein Oveisi, et al. · IEEE Journal of Biomedical and Health Informatics · 452
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Deep learning in ECG diagnosis: A review
2021 · Xinwen Liu, Huan Wang, et al. · Knowledge-Based Systems · 443
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
2021 · Haya Elayan, Moayad Aloqaily, et al. · IEEE Internet of Things Journal · 440
Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
2017 · Bahareh Pourbabaee, Mehrsan Javan Roshtkhari, et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 411
1-D Convolutional Neural Networks for Signal Processing Applications
2019 · Serkan Kiranyaz, Turker Ince, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 404
ECG Biometric Recognition: A Comparative Analysis
2012 · Ikenna Odinaka, Po-Hsiang Lai, et al. · IEEE Transactions on Information Forensics and Security · 358
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals
2018 · Jen Hong Tan, Yuki Hagiwara, et al. · Computers in Biology and Medicine · 355
Detecting atrial fibrillation by deep convolutional neural networks
2017 · Yong Xia, Naren Wulan, et al. · Computers in Biology and Medicine · 350
Application of Cross Wavelet Transform for ECG Pattern Analysis and Classification
2014 · Swati Banerjee, Madhuchhanda Mitra · IEEE Transactions on Instrumentation and Measurement · 335
Optimization of ECG Classification by Means of Feature Selection
2011 · Tanis Mar, Sebastian Zaunseder, et al. · IEEE Transactions on Biomedical Engineering · 325
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Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings
2018 · Xiaomao Fan, Qihang Yao, et al. · IEEE Journal of Biomedical and Health Informatics · 324
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Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
2021 · Tao Wang, Changhua Lu, et al. · Entropy · 313
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Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
2018 · U Rajendra Acharya, Hamido Fujita, et al. · Applied Intelligence · 312
A Deep Bidirectional GRU Network Model for Biometric Electrocardiogram Classification Based on Recurrent Neural Networks
2019 · Htet Myet Lynn, Sung Bum Pan, et al. · IEEE Access · 305
Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction
2015 · L. N. Sharma, R. K. Tripathy, et al. · IEEE Transactions on Biomedical Engineering · 297
Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers
2018 · V. Mondéjar-Guerra, J. Novo, et al. · Biomedical Signal Processing and Control · 291
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Artificial neural networks for automatic ECG analysis
1998 · R. Silipo, C. Marchesi · IEEE Transactions on Signal Processing · 283
Works count: 6,543
Citation count: 70,100
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