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 15711580 of 1655 papers

TitleStatusHype
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems0
Classification of EEG Signal based on non-Gaussian Neutral Vector0
Classification of EEG Signals using Genetic Programming for Feature Construction0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning0
Classification of Epileptic EEG Signals by Wavelet based CFC0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure0
Classification of grasping tasks based on EEG-EMG coherence0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network0
Classification of Imagined Speech Using Siamese Neural Network0
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Benchmark Results

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