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 951–975 of 1655 papers

TitleStatusHype
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition—0
Analysis of artifacts in EEG signals for building BCIs—0
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Deep learning denoising for EOG artifacts removal from EEG signals—0
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings—0
Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals—0
Automatic detection of microsleep episodes with deep learningCode1
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring—0
ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs—0
Transfer entropy applied on EEG in depression reveals aberrated dynamics—0
Classification of Imagined Speech Using Siamese Neural Network—0
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network—0
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
Using Deep Networks for Scientific Discovery in Physiological SignalsCode1
Spectral independent component analysis with noise modeling for M/EEG source separation—0
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean SpaceCode1
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets—0
Understanding Brain Dynamics for Color Perception using Wearable EEG headband—0
Speech Recognition using EEG signals recorded using dry electrodes—0
EEG-based Auditory Attention Decoding: Towards Neuro-Steered Hearing Devices—0
Single-channel EEG features during n-back task correlate with working memory load—0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Hybrid Template Canonical Correlation Analysis Method for Enhancing SSVEP Recognition under data-limited Condition—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