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 1001–1050 of 1655 papers

TitleStatusHype
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
Locked in Syndrome Machine Learning Classification using Sentence Comprehension EEG Data—0
Staging Epileptogenesis with Deep Neural Networks—0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
Neural mass modeling of slow-fast dynamics of seizure initiation and abortion—0
Classification and Recognition of Encrypted EEG Data Neural Network—0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification—0
Importance Weighting with a Adversarial Network for Large-Scale Sleep Staging—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—0
Towards Early Diagnosis of Epilepsy from EEG Data—0
Human brain activity for machine attention—0
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level EstimationCode1
EnK: Encoding time-information in convolutionCode0
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models—0
Review of the State-of-the-art on Bio-signal-based Brain-controlled Vehicles—0
Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling—0
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems—0
Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBBCode1
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine InterfacesCode1
Improving EEG based continuous speech recognition using GAN—0
Predicting Different Acoustic Features from EEG and towards direct synthesis of Audio Waveform from EEG—0
Understanding effect of speech perception in EEG based speech recognition systems—0
Monitoring fetal electroencephalogram intrapartum: a systematic literature review—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
Emotion-robust EEG Classification for Motor Imagery—0
Feature selection for gesture recognition in Internet-of-Things for healthcare—0
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution—0
Attention Patterns Detection using Brain Computer Interfaces—0
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI—0
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface—0
Predicting Video features from EEG and Vice versa—0
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks—0
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion—0
RED: Deep Recurrent Neural Networks for Sleep EEG Event DetectionCode1
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals—0
Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach—0
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network—0
Early soft and flexible fusion of EEG and fMRI via tensor decompositions—0
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversationsCode1
A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue—0
Affective Brain-Computer Interfaces: A Tutorial to Choose Performance Measuring Metric—0
Prediction of Human Empathy based on EEG Cortical Asymmetry—0
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning—0
Prediction of Memory Retrieval Performance Using Ear-EEG Signals—0
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition—0
The Alice Datasets: fMRI \& EEG Observations of Natural Language Comprehension—0
The Language of Brain Signals: Natural Language Processing of Electroencephalography Reports—0
Design of BCCWJ-EEG: Balanced Corpus with Human Electroencephalography—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