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 401–450 of 1655 papers

TitleStatusHype
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage—0
Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue—0
Classification of BCI-EEG based on augmented covariance matrixCode0
Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems—0
Explainable Label-flipping Attacks on Human Emotion Assessment System—0
First steps towards quantum machine learning applied to the classification of event-related potentials—0
Relating EEG to continuous speech using deep neural networks: a review—0
Biophysical aspects of neurocognitive modeling with long-term sustained temperature variations—0
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence—0
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification—0
Approximating DTW with a convolutional neural network on EEG data—0
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface—0
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
Self-Organization Towards 1/f Noise in Deep Neural NetworksCode0
Brain Model State Space Reconstruction Using an LSTM Neural Network—0
Deep Learning for scalp High Frequency Oscillations Identification—0
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition—0
Extracting continuous sleep depth from EEG data without machine learning—0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions—0
Hearables: Ear EEG Based Driver Fatigue Detection—0
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification—0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation—0
CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG—0
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
Detecting Information Relays in Deep Neural Networks—0
Understanding EEG signals for subject-wise Definition of Armoni Activities—0
Neural criticality from effective latent variables—0
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG—0
Cortical Xi-Alpha model for resting state electric neuronal activity—0
MindBigData 2022 A Large Dataset of Brain Signals—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
A Wearable EEG System for Closed-Loop Neuromodulation of High-Frequency Sleep-Related Oscillations—0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
A unified information-theoretic model of EEG signatures of human language processing—0
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods—0
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control—0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals—0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals—0
Nonparametric Independent Component Analysis for the Sources with Mixed Spectra—0
Overview of The MediaEval 2022 Predicting Video Memorability Task—0
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
Neural Underpinnings of Decoupled Ethical Behavior in Adolescents as an Interaction of Peer and Personal Values—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—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