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 1251–1300 of 1655 papers

TitleStatusHype
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes—0
Neural mass modeling of slow-fast dynamics of seizure initiation and abortion—0
Neural Memory Networks for Seizure Type Classification—0
Neural Memory Plasticity for Anomaly Detection—0
Neural Network Based Epileptic EEG Detection and Classification—0
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification—0
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review—0
Neural networks based EEG-Speech Models—0
Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals—0
NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC—0
Neural Underpinnings of Decoupled Ethical Behavior in Adolescents as an Interaction of Peer and Personal Values—0
Neuroadaptation in Physical Human-Robot Collaboration—0
Neurological Status Classification Using Convolutional Neural Network—0
Neurology-as-a-Service for the Developing World—0
Neuronal heterogeneity modulates phase-synchronization between unidirectionally coupled populations with excitation-inhibition balance—0
Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat—0
EEG-based Auditory Attention Decoding: Towards Neuro-Steered Hearing Devices—0
New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction—0
New crossover operators for multiple subset selection tasks—0
New functions for a multipurpose multimodal tool for phonetic and linguistic analysis of very large speech corpora—0
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification—0
Noisy network attractor models for transitions between EEG microstates—0
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices—0
Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures—0
Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression—0
Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices—0
Nonparametric Independent Component Analysis for the Sources with Mixed Spectra—0
Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue—0
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement—0
Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare—0
Novel techniques for improving NNetEn entropy calculation for short and noisy time series—0
Object classification from randomized EEG trials—0
Objective evaluation metrics for automatic classification of EEG events—0
Object Segmentation in Images using EEG Signals—0
Occipital and left temporal EEG correlates of phenomenal consciousness—0
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression—0
On Creating A Brain-To-Text Decoder—0
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring—0
One step closer to EEG based eye tracking—0
Ongoing EEG artifact correction using blind source separation—0
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort—0
Online functional connectivity analysis of large all-to-all networks—0
Online LDA based brain-computer interface system to aid disabled people—0
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data—0
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing—0
On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks—0
On the relation between EEG microstates and cross-spectra—0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
On the Variability of Chaos Indices in Sleep EEG Signals—0
Show:102550
← PrevPage 26 of 34Next →
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