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 1101–1150 of 1655 papers

TitleStatusHype
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification—0
Multi-Scale Neural network for EEG Representation Learning in BCI—0
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods—0
Generating EEG features from Acoustic features—0
Depression Detection using Resting State Three-channel EEG Signal—0
CLARA: Clinical Report Auto-completion—0
A study of resting-state EEG biomarkers for depression recognition—0
Speech Synthesis using EEG—0
Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs—0
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis—0
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots—0
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots—0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State—0
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis—0
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning—0
Continuous Silent Speech Recognition using EEG—0
Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals—0
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining—0
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review—0
Towards Brain-Computer Interfaces for Drone Swarm Control—0
Siamese Neural Networks for EEG-based Brain-computer Interfaces—0
The Sylvester Graphical Lasso (SyGlasso)Code0
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural networkCode0
Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the help of Bayesian Uncertainty Modelling—0
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition—0
A Rule-Based EEG Classification System for Discrimination of Hand Motor Attempts in Stroke Patients—0
WISDoM: characterizing neurological timeseries with the Wishart distribution—0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications—0
EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum—0
Epileptic Seizure Detection and Classification using Time-Frequency Features in EEG Signals—0
Using Double Contractions to Derive the Structure of Slice-Wise Multiplications of Tensors with Applications to Semi-Blind MIMO OFDM—0
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models—0
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning—0
Deep Reinforcement Learning with Implicit Human Feedback—0
Ensemble emotion recognizing with multiple modal physiological signals—0
EEG based Continuous Speech Recognition using Transformers—0
Comparison of the P300 detection accuracy related to the BCI speller and image recognition scenarios—0
Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)Code0
Bayesian Topological Learning for Brain State Classification—0
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation—0
Continuous Speech Recognition using EEG and Video—0
A novel spike-and-wave automatic detection in EEG signals—0
Improved Explanatory Efficacy on Human Affect and Workload through Interactive Process in Artificial Intelligence—0
Seizure Prediction Using Bidirectional LSTM—0
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals—0
Automated Pipeline for EEG Artifact Reduction (APPEAR) Recorded during fMRICode0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
Navigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface—0
Integration of Simultaneous Resting-State Electroencephalography, Functional Magnetic Resonance Imaging, and Eye-Tracker Methods to Determine and Verify Electroencephalography Vigilance Measure—0
Neural Memory Networks for Seizure Type Classification—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