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 576–600 of 1655 papers

TitleStatusHype
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