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 851–900 of 1655 papers

TitleStatusHype
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal—0
Review Dry and Non-Contact EEG Electrodes for 2010-2021 Years—0
Progress in neural networks for EEG signal recognition in 2021—0
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural NetworkCode0
Genetic algorithm for feature selection of EEG heterogeneous data—0
Deep Multiway Canonical Correlation Analysis for Multi-Subject EEG Normalization—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks—0
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces—0
Prefrontal cortex functional connectivity based on simultaneous record of electrical and hemodynamic responses associated with mental stress—0
Ensemble approach for detection of depression using EEG features—0
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games—0
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition—0
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models—0
Real Time Vigilance Detection using Frontal EEG—0
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment—0
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
The Spatial Selective Auditory Attention of Cochlear Implant Users in Different Conversational Sound Levels—0
Neuronal heterogeneity modulates phase-synchronization between unidirectionally coupled populations with excitation-inhibition balance—0
DM algorithms in healthindustry—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials—0
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection—0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition—0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification—0
Characterising Alzheimer's Disease with EEG-based Energy Landscape AnalysisCode0
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization—0
Analysis of EEG data using complex geometric structurization—0
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing—0
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks—0
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder—0
Classification of multivariate weakly-labelled time-series with attentionCode0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
Geometric feature performance under downsampling for EEG classification tasks—0
EEGs disclose significant brain activity correlated with synaptic fickleness—0
Mind the beat: detecting audio onsets from EEG recordings of music listening—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020Code0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
Few-shot time series segmentation using prototype-defined infinite hidden Markov models—0
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition—0
ScalingNet: extracting features from raw EEG data for emotion recognition—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: 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