SOTAVerified

Electroencephalogram (EEG)

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

Papers

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Showing 551–600 of 1655 papers

TitleStatusHype
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
A semi-supervised deep learning algorithm for abnormal EEG identification—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
A Rule-Based EEG Classification System for Discrimination of Hand Motor Attempts in Stroke Patients—0
Amplifying the Neural Power Spectrum—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms—0
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups—0
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
Artifact Detection and Correction in EEG data: A Review—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
Classifying Songs with EEG—0
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning—0
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals—0
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals—0
Classifying Single-Trial EEG during Motor Imagery with a Small Training Set—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance—0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniques—0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks—0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis—0
Classification of Two-channel Signals by Means of Genetic Programming—0
Classification of sleep stages from EEG, EOG and EMG signals by SSNet—0
A review on Epileptic Seizure Detection using Machine Learning—0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain—0
Classification of Perceived Human Stress using Physiological Signals—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
Classification of Imagined Speech Using Siamese Neural Network—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
A Machine Learning Approach to Automatic Classification of Eight Sleep Disorders—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Classification of grasping tasks based on EEG-EMG coherence—0
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram—0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis—0
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Approximating DTW with a convolutional neural network on EEG data—0
Classification of Epileptic EEG Signals by Wavelet based CFC—0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified