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 501–550 of 1655 papers

TitleStatusHype
Brain-Supervised Image Editing—0
Deep Classification of Epileptic Signals—0
Brain Source Localization by Alternating Projection—0
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models—0
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals—0
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring—0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification—0
Deep Correlation Analysis for Audio-EEG Decoding—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
Detecting Information Relays in Deep Neural Networks—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition—0
Localization of MEG and EEG Brain Signals by Alternating Projection—0
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
A novel convolutional neural network model to remove muscle artifacts from EEG—0
A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals—0
Brain-scale Theta Band Functional Connectivity As A Signature of Slow Breathing and Breath-hold Phases—0
Brains and pseudorandom generators—0
A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition—0
Brain Responses During Robot-Error Observation—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—0
A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)—0
A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory—0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning—0
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning—0
Brain Model State Space Reconstruction Using an LSTM Neural Network—0
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes—0
Brain informed transfer learning for categorizing construction hazards—0
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification—0
An Olfactory EEG Signal Classification Network Based on Frequency Band Feature Extraction—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance—0
Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm—0
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach—0
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials—0
An Investigation on Non-Invasive Brain-Computer Interfaces: Emotiv Epoc+ Neuroheadset and Its Effectiveness—0
A hybrid automated detection of epileptic seizures in EEG based on wavelet and machine learning techniques—0
Adaptive Template Enhancement for Improved Person Recognition using Small Datasets—0
A channel attention based MLP-Mixer network for motor imagery decoding with EEG—0
Brain-based control of car infotainment—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
Brain Age from the Electroencephalogram of Sleep—0
Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training—0
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings—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