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 201–250 of 1655 papers

TitleStatusHype
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
Analysis of Blink Rate Variability during reading and memory testing—0
Adversarial Deep Learning in EEG Biometrics—0
Bandwidth-efficient distributed neural network architectures with application to body sensor networks—0
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity—0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
Analysis of artifacts in EEG signals for building BCIs—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
A study of resting-state EEG biomarkers for depression recognition—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Advancing Speech Synthesis using EEG—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
A Technique Based on Chaos for Brain Computer Interfacing—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
A topological classifier to characterize brain states: When shape matters more than variance—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue—0
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns—0
Attention-based Transfer Learning for Brain-computer Interface—0
Attention Patterns Detection using Brain Computer Interfaces—0
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB—0
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition—0
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
Advancing Speech Recognition With No Speech Or With Noisy Speech—0
A unified information-theoretic model of EEG signatures of human language processing—0
A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age—0
Analysis of Microstate Organization During Emotional Events—0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning—0
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach—0
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning—0
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network—0
Automated Detection of Patients in Hospital Video Recordings—0
Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features—0
Automated EEG-based Screening of Depression Using Deep Convolutional Neural Network—0
Automated Feature Extraction on AsMap for Emotion Classification using EEG—0
Automated Human Mind Reading Using EEG Signals for Seizure Detection—0
A Multi-objective Evolutionary Algorithm for EEG Inverse Problem—0
An Artificial Intelligence Browser Architecture (AIBA) For Our Kind and Others: A Voice Name System Speech implementation with two warrants, Wake Neutrality and Value Preservation of Personally Identifiable Information—0
A state-space model of cross-region dynamic connectivity in MEG/EEG—0
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback—0
A Wearable EEG System for Closed-Loop Neuromodulation of High-Frequency Sleep-Related Oscillations—0
Automatic Detection of Arousals during Sleep using Multiple Physiological Signals—0
Automatic Detection of Epileptiform Discharges in the EEG—0
A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors—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