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 591600 of 1655 papers

TitleStatusHype
A Machine Learning Approach to Automatic Classification of Eight Sleep Disorders0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network0
Classification of grasping tasks based on EEG-EMG coherence0
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis0
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure0
Approximating DTW with a convolutional neural network on EEG data0
Classification of Epileptic EEG Signals by Wavelet based CFC0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning0
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Benchmark Results

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