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 10911100 of 1655 papers

TitleStatusHype
Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs0
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis0
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots0
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State0
Machine-Learning-Based Diagnostics of EEG PathologyCode1
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis0
Continuous Silent Speech Recognition using EEG0
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning0
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review0
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Benchmark Results

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