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

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Showing 476–500 of 1655 papers

TitleStatusHype
MEMD-HHT based Emotion Detection from EEG using 3D CNN—0
Multivariate Empirical Mode Decomposition of EEG for Mental State Detection at Localized Brain Lobes—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
The Badalona Corpus - An Audio, Video and Neuro-Physiological Conversational Dataset—0
Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model—0
Intelligent analysis of EEG signals to assess consumer decisions: A Study on Neuromarketing—0
Graph Structure Based Data Augmentation Method—0
Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease—0
Brain waves are a repetition of a pause and an activity—0
Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimers Disease—0
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection—0
NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC—0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN—0
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus—0
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis—0
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task—0
A Change Dynamic Model for the Online Detection of Gradual Change—0
Decoding Part-of-Speech from Human EEG Signals—0
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures—0
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification—0
Mobile EEG artifact correction on limited hardware using artifact subspace recon- struction—0
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials—0
Towards Privacy-Preserving Neural Architecture Search—0
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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