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 701–750 of 1655 papers

TitleStatusHype
Comparison of inverse problem linear and non-linear methods for localization source: a combined TMS-EEG study—0
Automated Detection of Patients in Hospital Video Recordings—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
Structure-Preserving Graph Kernel for Brain Network Classification—0
Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare—0
Reconsidering Spatial Priors In EEG Source Estimation: Does White Matter Contribute to EEG Rhythms?—0
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure DetectionCode0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
Symptoms of depersonalisation/derealisation disorder as measured by brain electrical activity: A systematic review—0
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series—0
Assessing learned features of Deep Learning applied to EEG—0
Automated Human Mind Reading Using EEG Signals for Seizure Detection—0
EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence—0
Neural Network Based Epileptic EEG Detection and Classification—0
Application of Machine Learning to Sleep Stage Classification—0
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions—0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Detecting Dementia from Speech and Transcripts using Transformers—0
Subject Adaptive EEG-based Visual RecognitionCode0
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field—0
High-Sensitivity Electric Potential Sensors for Non-Contact Monitoring of Physiological Signals—0
Cortical representations of Auditory Perception using Graph Independent Component on EEG—0
A channel attention based MLP-Mixer network for motor imagery decoding with EEG—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain SignalsCode0
Riemannian classification of EEG signals with missing values—0
Joint SCSP-LROM: A novel approach to detect Cerebrovascular Anomalies from EEG signals—0
Towards EEG signals codification using contrastiveloss—0
Web Search via an Efficient and Effective Brain-Machine Interface—0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network—0
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition—0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition—0
Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals—0
Sensoring and Application of Multimodal Data for the Detection of Freezing of Gait in Parkinson's Disease—0
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement—0
Time Series Forecasting Using Manifold Learning—0
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia—0
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing—0
SOUL: An Energy-Efficient Unsupervised Online Learning Seizure Detection Classifier—0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification—0
Practical Adversarial Attacks on Brain--Computer Interfaces—0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition—0
TIME-LAPSE: Learning to say “I don't know” through spatio-temporal uncertainty scoring—0
Variational Component Decoder for Source Extraction from Nonlinear Mixture—0
Deep Neural Networks on EEG signals to predict Attention Score using Gramian Angular Difference Field—0
EEG based stress analysis using rhythm specific spectral feature for video gameplay—0
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers—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