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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 776–800 of 1655 papers

TitleStatusHype
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks—0
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD—0
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep—0
Explore intrinsic geometry of sleep dynamics and predict sleep stage by unsupervised learning techniques—0
Complex network modelling of EEG band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis—0
Brain Source Localization by Alternating Projection—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods—0
Extension of the non-parametric cluster-based time-frequency statistics to the full time windows and to single condition tests—0
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—0
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm—0
EEG based stress analysis using rhythm specific spectral feature for video gameplay—0
EEG-based Sleep Staging with Hybrid Attention—0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition—0
EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
Localization of MEG and EEG Brain Signals by Alternating Projection—0
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG—0
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
Feature Learning from Incomplete EEG with Denoising Autoencoder—0
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers—0
EEG Based Emotion Sensing using convolutional neural networks—0
Show:102550
← PrevPage 32 of 67Next →
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