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 1501–1550 of 1655 papers

TitleStatusHype
Emotion Specification from Musical Stimuli: An EEG Study with AFA and DFA—0
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups—0
Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features—0
Multimodal deep learning approach for joint EEG-EMG data compression and classification—0
Learning Deep Matrix Representations—0
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).Code0
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable CouplingsCode0
Interactive Web Application for Exploring Matrices of Neural Connectivity—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression—0
Inherent fuzzy entropy for the improvement of EEG complexity evaluationCode0
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)—0
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization—0
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)—0
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort—0
Multi-feature classifiers for burst detection in single EEG channels from preterm infants—0
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis—0
Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification—0
Automatic sleep monitoring using ear-EEG—0
A computational investigation of the relationships between single-neuron and network dynamics in the cerebral cortex—0
EEG in the classroom: Synchronised neural recordings during video presentation—0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
An EEG study of creativity in expert classical musicians—0
Neural networks based EEG-Speech Models—0
Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia—0
A state-space model of cross-region dynamic connectivity in MEG/EEG—0
Fusion of EEG and Musical Features in Continuous Music-emotion Recognition—0
A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals—0
On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks—0
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns—0
Multilinear Low-Rank Tensors on Graphs & Applications—0
Deep Models for Engagement Assessment With Scarce Label Information—0
Mixed Neural Network Approach for Temporal Sleep Stage Classification—0
Cerebral Signal Instantaneous Parameters Estimation MATLAB Toolbox - User Guide Version 2.3Code0
Combining Generative and Discriminative Neural Networks for Sleep Stages Classification—0
Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization—0
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks—0
Binary classification of multi-channel EEG records based on the ε-complexity of continuous vector functions—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Visual Motion Onset Brain-computer Interface—0
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment—0
A penalized likelihood method for classification with matrix-valued predictors—0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical SignalsCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification—0
Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience—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