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 1076–1100 of 1655 papers

TitleStatusHype
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG ClassificationCode1
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting—0
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis—0
Speaker Identification using EEG—0
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification—0
Multi-Scale Neural network for EEG Representation Learning in BCI—0
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods—0
Generating EEG features from Acoustic features—0
Depression Detection using Resting State Three-channel EEG Signal—0
CLARA: Clinical Report Auto-completion—0
A study of resting-state EEG biomarkers for depression recognition—0
Speech Synthesis using EEG—0
Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs—0
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis—0
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots—0
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots—0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State—0
Machine-Learning-Based Diagnostics of EEG PathologyCode1
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis—0
Continuous Silent Speech Recognition using EEG—0
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning—0
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review—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