Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction is a scholarly work, published in 2024 in ''Sensors''. The main subjects of the publication include electroencephalography, independent component analysis, convolutional neural network, dimensionality reduction, hyperparameter, artificial intelligence, feature extraction, decoding method, noise, task, artificial neural network, feature, brain–computer interface, pattern recognition, and computer science. The paper further offers a comprehensive evaluation of these architectures, covering accuracy metrics, hyperparameters, and an appendix that contains a table outlining the parameters of commonly used CNN architectures for feature extraction from EEG signals..