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EEG

Electroencephalography epilepsy

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Showing 1801–1850 of 2431 papers

TitleStatusHype
Emotion-robust EEG Classification for Motor Imagery—0
Feature selection for gesture recognition in Internet-of-Things for healthcare—0
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution—0
Attention Patterns Detection using Brain Computer Interfaces—0
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI—0
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface—0
Predicting Video features from EEG and Vice versa—0
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks—0
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion—0
RED: Deep Recurrent Neural Networks for Sleep EEG Event DetectionCode1
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals—0
Early soft and flexible fusion of EEG and fMRI via tensor decompositions—0
Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach—0
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network—0
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversationsCode1
A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue—0
Affective Brain-Computer Interfaces: A Tutorial to Choose Performance Measuring Metric—0
Prediction of Human Empathy based on EEG Cortical Asymmetry—0
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning—0
Prediction of Memory Retrieval Performance Using Ear-EEG Signals—0
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition—0
Design of BCCWJ-EEG: Balanced Corpus with Human Electroencephalography—0
The Language of Brain Signals: Natural Language Processing of Electroencephalography Reports—0
The Alice Datasets: fMRI \& EEG Observations of Natural Language Comprehension—0
The Little Prince in 26 Languages: Towards a Multilingual Neuro-Cognitive Corpus—0
Towards Best Practices for Leveraging Human Language Processing Signals for Natural Language Processing—0
Wireless User-Generic Ear EEG—0
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI dataCode1
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
Federated Transfer Learning for EEG Signal ClassificationCode1
Brain-based control of car infotainment—0
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine InterfacesCode0
Postural control adaptation and habituation during vibratory proprioceptive stimulation: an HD-EEG investigation of cortical recruitment and kinematics—0
Multi-level Binarized LSTM in EEG Classification for Wearable Devices—0
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
Local Model Feature Transformations—0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016—0
Deep transfer learning for improving single-EEG arousal detection—0
Advancing Speech Synthesis using EEG—0
Object classification from randomized EEG trials—0
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition—0
TSception: A Deep Learning Framework for Emotion Detection Using EEGCode1
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy Detection—0
Improving auditory attention decoding performance of linear and non-linear methods using state-space model—0
Stationarity of Time-Series on Graph via Bivariate Translation Invariance—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
EEG Signal Classification using Variational Mode Decomposition—0
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG—0
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