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 1351–1400 of 1655 papers

TitleStatusHype
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups—0
Amplifying the Neural Power Spectrum—0
A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism—0
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG—0
A Multi-Context Character Prediction Model for a Brain-Computer Interface—0
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture—0
A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures—0
A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors—0
A Multi-objective Evolutionary Algorithm for EEG Inverse Problem—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Analysis of artifacts in EEG signals for building BCIs—0
Analysis of Blink Rate Variability during reading and memory testing—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
Analysis of EEG data using complex geometric structurization—0
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods—0
Analysis of Microstate Organization During Emotional Events—0
Analysis of Relation between Motor Activity and Imaginary EEG Records—0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
An Analysis of Two Common Reference Points for EEGs—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
An automated approach for task evaluation using EEG signals—0
An EEG-based approach for Parkinson's disease diagnosis using Capsule network—0
An EEG-based Image Annotation System—0
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis—0
An EEG-based Stereoscopic Research to Reveal the Brain's Response to What Happens Before and After Watching 2D and 3D Movies—0
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance—0
An EEG study of creativity in expert classical musicians—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers—0
An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks—0
An Electroencephalography connectome predictive model of major depressive disorder severity—0
An embedding for EEG signals learned using a triplet loss—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
A New Method for Epileptic Seizure Classification in EEG Using Adapted Wavelet Packets—0
A new model for the implementation of positive and negative emotion recognition—0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
An Explainable Model for EEG Seizure Detection based on Connectivity Features—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
An intertwined neural network model for EEG classification in brain-computer interfaces—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