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

Showing 581590 of 1655 papers

TitleStatusHype
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis0
Classification of Two-channel Signals by Means of Genetic Programming0
Classification of sleep stages from EEG, EOG and EMG signals by SSNet0
A review on Epileptic Seizure Detection using Machine Learning0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain0
Classification of Perceived Human Stress using Physiological Signals0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis0
Classification of Imagined Speech Using Siamese Neural Network0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?0
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Benchmark Results

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