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

Showing 301325 of 1655 papers

TitleStatusHype
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis0
Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics0
Approximating DTW with a convolutional neural network on EEG data0
Approximately optimal domain adaptation with Fisher's Linear Discriminant0
Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression0
Applying Transfer Learning To Deep Learned Models For EEG Analysis0
A Locally Adaptive Normal Distribution0
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm0
Application of Topological Data Analysis to Delirium Detection0
Application of statistical analysis to working memory problem0
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition0
Application of Machine Learning to Sleep Stage Classification0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization0
A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems0
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification0
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification0
Application of Common Spatial Patterns in Gravitational Waves Detection0
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition0
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction0
A-Phase classification using convolutional neural networks0
Algoritmos de minería de datos en la industria sanitaria0
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents0
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization0
A penalized likelihood method for classification with matrix-valued predictors0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35Unverified
2DGCNNAccuracy69.88Unverified
3DBNAccuracy66.77Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08Unverified