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Keyword

EEG classification

Description: The assignment of electroencephalographic signals or features to categories using statistical or machine-learning methods, often for biomedical analysis.
OpenAlex ID: keywords/eeg-classification
SGDR: Stochastic Gradient Descent with Warm Restarts
2016 · Loshchilov, Ilya, Hutter, Frank · arXiv (Cornell University) · 5,305
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EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
2018 · Vernon J Lawhern, Amelia J Solon, et al. · Journal of Neural Engineering · 5,048
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A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
2018 · F Lotte, L Bougrain, et al. · Journal of Neural Engineering · 2,220
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Deep learning for electroencephalogram (EEG) classification tasks: a review
2019 · Alexander Craik, Yongtian He, et al. · Journal of Neural Engineering · 1,745
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Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
2008 · Kai Keng Ang, Zhang Yang Chin, et al. · IEEE International Joint Conference on Neural Networks (IJCNN) · 1,509
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
2012 · Kai Keng Ang, Zheng Yang Chin, et al. · Frontiers in Neuroscience · 1,259
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EEG signal classification using PCA, ICA, LDA and support vector machines
2010 · Abdulhamit Subasi, M. Ismail Gursoy · Expert Systems with Applications · 1,210
EEG signal classification using wavelet feature extraction and a mixture of expert model
2006 · A SUBASI · Expert Systems with Applications · 1,181
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
2022 · Yonghao Song, Qingqing Zheng, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 1,114
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A comprehensive review of EEG-based brain–computer interface paradigms
2018 · Reza Abiri, Soheil Borhani, et al. · Journal of Neural Engineering · 951
EEG-based discrimination between imagination of right and left hand movement
1997 · G. Pfurtscheller, Ch. Neuper, et al. · Electroencephalography and Clinical Neurophysiology · 904
Multiclass Brain–Computer Interface Classification by Riemannian Geometry
2011 · A. Barachant, S. Bonnet, et al. · IEEE Transactions on Biomedical Engineering · 871
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
2010 · H Cecotti, A Graser · IEEE Transactions on Pattern Analysis and Machine Intelligence · 775
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EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks.
2007 · Chris Berka, Daniel J Levendowski, et al. · PubMed · 770
A comparison of classification techniques for the P300 Speller
2006 · Dean J Krusienski, Eric W Sellers, et al. · Journal of Neural Engineering · 760
Entropies for detection of epilepsy in EEG
2005 · N. Kannathal, Min Lim Choo, et al. · Computer Methods and Programs in Biomedicine · 753
Comparison of linear, nonlinear, and feature selection methods for EEG signal classification
2003 · D. Garrett, D.A. Peterson, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 735
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
2006 · Kemal Polat, Salih Güneş · Applied Mathematics and Computation · 667
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
2018 · Siavash Sakhavi, Cuntai Guan, et al. · IEEE Transactions on Neural Networks and Learning Systems · 657
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EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
2011 · Umut Orhan, Mahmut Hekim, et al. · Expert Systems with Applications · 645
Spatio-spectral filters for improving the classification of single trial EEG
2005 · S. Lemm, B. Blankertz, et al. · IEEE Transactions on Biomedical Engineering · 643
Automated diagnosis of epileptic EEG using entropies
2011 · U. Rajendra Acharya, Filippo Molinari, et al. · Biomedical Signal Processing and Control · 626
EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
2019 · Natasha Padfield, Jaime Zabalza, et al. · Sensors · 598
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Classification of EEG signals using neural network and logistic regression
2005 · Abdulhamit Subasi, Ergun Erçelebi · Computer Methods and Programs in Biomedicine · 572
Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
2005 · İnan Güler, Elif Derya Übeyli · Journal of Neuroscience Methods · 549
Works count: 13,810
Citation count: 209,200
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