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 326–350 of 1655 papers

TitleStatusHype
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—0
Federated deep transfer learning for EEG decoding using multiple BCI tasks—0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning—0
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge DistillationCode1
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events—0
Brain informed transfer learning for categorizing construction hazards—0
Single-channel EEG completion using Cascade Transformer—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Motor imagery classification using EEG spectrograms—0
Review of medical data analysis based on spiking neural networks—0
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG—0
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine LearningCode0
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals—0
Performance and utility trade-off in interpretable sleep staging—0
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEGCode0
Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot studyCode0
Topological biomarkers for real-time detection of epileptic seizures—0
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)—0
BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces—0
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative ModelsCode0
Automatic Seizure Prediction using CNN and LSTM—0
Review on Classification Techniques used in Biophysiological Stress Monitoring—0
MAEEG: Masked Auto-encoder for EEG Representation Learning—0
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
Embedding neurophysiological signalsCode0
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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