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 776–800 of 1655 papers

TitleStatusHype
Explainable Label-flipping Attacks on Human Emotion Assessment System—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—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
Detecting Epileptic Seizures from EEG Data using Neural Networks—0
Exploring EEG for Object Detection and Retrieval—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
Extension of the non-parametric cluster-based time-frequency statistics to the full time windows and to single condition tests—0
Extracting continuous sleep depth from EEG data without machine learning—0
Benchmarking Domain Generalization on EEG-based Emotion Recognition—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
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
Extreme-Long-short Term Memory for Time-series Prediction—0
“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels—0
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface—0
Few-shot time series segmentation using prototype-defined infinite hidden Markov models—0
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data—0
FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease—0
Detecting Dementia from Speech and Transcripts using Transformers—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
Feature Learning from Incomplete EEG with Denoising Autoencoder—0
Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—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