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EEG

Electroencephalography epilepsy

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Showing 1501–1550 of 2431 papers

TitleStatusHype
Sleep Staging Based on Multi Scale Dual Attention Network—0
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation—0
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder—0
Noise-based cyberattacks generating fake P300 waves in brain–computer interfacesCode0
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli ClassificationCode1
Sleep syndromes onset detection based on automatic sleep staging algorithmCode0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
Complex network modelling of EEG band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis—0
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks—0
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals—0
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based ModelCode1
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals—0
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices—0
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images—0
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings—0
Transformer-based Spatial-Temporal Feature Learning for EEG DecodingCode1
Artifact Detection and Correction in EEG data: A Review—0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
Neuroadaptive electroencephalography: a proof-of-principle study in infantsCode0
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks—0
A highly scalable repository of waveform and vital signs data from bedside monitoring devices—0
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks—0
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands—0
Random Forest classifier for EEG-based seizure prediction—0
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG—0
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural NetworkCode1
Bioelectrical brain activity can predict prosocial behavior—0
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
Deep Learning for EEG Seizure Detection in Preterm Infants—0
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture—0
Robust learning from corrupted EEG with dynamic spatial filteringCode1
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification—0
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network—0
Deep Correlation Analysis for Audio-EEG Decoding—0
Resting state alpha oscillatory activity is a valid and reliable marker of schizotypyCode0
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
Predicting speech intelligibility from EEG in a non-linear classification paradigm—0
Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals—0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue—0
Long-term changes in functional connectivity predict responses to intracranial stimulation of the human brain—0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer InterfaceCode1
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
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