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 451–500 of 1655 papers

TitleStatusHype
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features—0
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment—0
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface—0
Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method—0
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images—0
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces—0
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces—0
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal—0
A Technique Based on Chaos for Brain Computer Interfacing—0
DASPS: A Database for Anxious States based on a Psychological Stimulation—0
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models—0
Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals—0
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information—0
Cross-Subject Data Splitting for Brain-to-Text Decoding—0
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem—0
Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
Decline of long-range temporal correlations in the human brain during sustained wakefulness—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing—0
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience—0
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment—0
Decoding finger flexion from band-specific ECoG signals in humans—0
A study of resting-state EEG biomarkers for depression recognition—0
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
Decoding index finger position from EEG using random forests—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Advancing Speech Synthesis using EEG—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals—0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Continuous Speech Recognition using EEG and Video—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
Continuous monitoring of cognitive load using advanced computerized analysis of brain signals during virtual simulator training for laparoscopic surgery, reflects laparoscopic dexterity. A comparative study using a novel wireless device—0
Continuous ErrP detections during multimodal human-robot interaction—0
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network—0
Decoding Working Memory Load from EEG with LSTM Networks—0
Deep Architectures for Automated Seizure Detection in Scalp EEGs—0
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns—0
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks—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