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EEG

Electroencephalography epilepsy

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Showing 1576–1600 of 2431 papers

TitleStatusHype
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals—0
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
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
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings—0
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images—0
Artifact Detection and Correction in EEG data: A Review—0
Neuroadaptive electroencephalography: a proof-of-principle study in infantsCode0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
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
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
Bioelectrical brain activity can predict prosocial behavior—0
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture—0
Deep Learning for EEG Seizure Detection in Preterm Infants—0
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
Predicting speech intelligibility from EEG in a non-linear classification paradigm—0
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