A Long Short-Term Memory Autoencoder Approach for EEG Motor Imagery Classification

Motor imagery represents one Brain-Computer Interface (BCI) paradigm that has been utilized in developing applications to assist subjects with motor disability. Such paradigm relies on analyzing brain electroencephalography (EEG) activity to identify the intended movement direction. Existing motor i...

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Bibliographic Details

Published in:	2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) pp. 79 - 84
Main Authors:	Elessawy, Raghda H., Eldawlatly, Seif, Abbas, Hazem M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2020
Subjects:	Autoencoders brain computer interface Brain-computer interfaces Deep learning EEG Electroencephalography Feature extraction Frequency-domain analysis Long short term memory Motor imagery Motors Systematics Training
Online Access:	Get full text
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