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 876–900 of 1655 papers

TitleStatusHype
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
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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