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Motor Imagery Data Characterization from EEG for Prosthetic Hand with Deep Learning Classification
L18 : The analysis and classification of Motor-Imagery EEG data (BCI competition IV)
MY022 - Classification of motor imagery Electroencephalogram (EEG) signal using deep learning
A Study of the Classification of Motor Imagery Signals using Machine Learning Tools
#finalyearprojects 2020 | CLASSIFICATION OF ELECTROENCEPHALOGRAPHY-BASED MOTOR IMAGERY TASKS
IMDC MY022 Classification of motor imagery EEG signal using deep learning for robotic wheelchair
IMDC MY022 Classification of Motor Imagery (EEG) Signal using Deep Learning for Robotic Wheelchair
Motor Imagery Based Multimodal Biometric UserAuthentication System Using EEG
Machine Learning and Deep Learning for Electroencephalography (EEG)-based Brain Signal Analysis
Zhang Kaishuo - Subject Adaptation with Deep ConvNet for EEG-based Motor Imagery Classification
Nonlinear Independent Component Analysis, with Applications to EEG/MEG
BCN24 - Presentation 5: Machine Learning and Deep Learning methods for movement imaginary BCI