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 801–850 of 1655 papers

TitleStatusHype
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals—0
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices—0
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images—0
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings—0
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
Neuroadaptive electroencephalography: a proof-of-principle study in infantsCode0
Artifact Detection and Correction in EEG data: A Review—0
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks—0
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks—0
A highly scalable repository of waveform and vital signs data from bedside monitoring devices—0
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands—0
Random Forest classifier for EEG-based seizure prediction—0
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG—0
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
Bioelectrical brain activity can predict prosocial behavior—0
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture—0
Deep Learning for EEG Seizure Detection in Preterm Infants—0
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification—0
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network—0
Deep Correlation Analysis for Audio-EEG Decoding—0
Predicting speech intelligibility from EEG in a non-linear classification paradigm—0
Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals—0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue—0
Long-term changes in functional connectivity predict responses to intracranial stimulation of the human brain—0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback—0
Distilling EEG Representations via Capsules for Affective Computing—0
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG—0
Algoritmos de minería de datos en la industria sanitaria—0
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes—0
Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder—0
Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals—0
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning—0
Temporal EigenPAC for dyslexia diagnosis—0
Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signalsCode0
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis—0
SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction—0
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring—0
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control—0
Neurological Status Classification Using Convolutional Neural Network—0
Strengthening the Training of Convolutional Neural Networks By Using Walsh MatrixCode0
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal—0
Does Double Biofeedback Affect Functional Hemispheric Asymmetry and Activity? A Pilot Study—0
Product semantics translation from brain activity via adversarial learning—0
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading—0
Verifying Design through Generative Visualization of Neural Activities—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