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 251–300 of 1655 papers

TitleStatusHype
Tuning to non-veridical features in attention and perceptual decision-making—0
Investigating the role of visual experience with face-masks in face recognition during COVID-19—0
Approximately optimal domain adaptation with Fisher's Linear Discriminant—0
Comparison and Analysis of Cognitive Load under 2D/3D Visual Stimuli—0
Partial Label Learning for Emotion Recognition from EEGCode1
Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI PerformanceCode1
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation—0
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
Deep comparisons of Neural Networks from the EEGNet familyCode1
Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue—0
Classification of BCI-EEG based on augmented covariance matrixCode0
Explainable Label-flipping Attacks on Human Emotion Assessment System—0
Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems—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
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning—0
Self-Organization Towards 1/f Noise in Deep Neural NetworksCode0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
Deep Learning for scalp High Frequency Oscillations Identification—0
Brain Model State Space Reconstruction Using an LSTM Neural Network—0
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
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
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
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
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep StagingCode1
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEGCode1
Detecting Information Relays in Deep Neural Networks—0
Understanding EEG signals for subject-wise Definition of Armoni Activities—0
Towards Voice Reconstruction from EEG during Imagined SpeechCode1
Neural criticality from effective latent variables—0
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG—0
MindBigData 2022 A Large Dataset of Brain Signals—0
Cortical Xi-Alpha model for resting state electric neuronal activity—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—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