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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1276–1300 of 1655 papers

TitleStatusHype
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study—0
The role of physiological complexity changes in resting-state EEG in clinical effectiveness of rTMS and tDCS in treatments of resistant depression—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network—0
Early Detection of Mental Stress Using Advanced Neuroimaging and Artificial Intelligence—0
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy—0
A semi-supervised deep learning algorithm for abnormal EEG identification—0
Machine Learning for removing EEG artifacts: Setting the benchmark—0
Emotion Recognition with Machine Learning Using EEG Signals—0
An EEG-based Stereoscopic Research to Reveal the Brain's Response to What Happens Before and After Watching 2D and 3D Movies—0
Noisy network attractor models for transitions between EEG microstates—0
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results—0
Emergence of Brain Rhythms: Model Interpretation of EEG Data—0
Labeler-hot Detection of EEG Epileptic Transients—0
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type ClassificationCode0
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning ApproachCode0
Speech Recognition with no speech or with noisy speech—0
1D Convolutional Neural Network Models for Sleep Arousal Detection—0
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB—0
Cortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation—0
Epileptic seizure classification using statistical sampling and a novel feature selection algorithm—0
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEGCode0
Disruption of the prefrontal cortex improves implicit contextual memory-guided attention: combined behavioural and electrophysiological evidence—0
Gamma band oscillations reflect sensory and affective dimensions of pain—0
Show:102550
← PrevPage 52 of 67Next →
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