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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Veröffentlicht in:	2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) S. 79 - 84
Hauptverfasser:	Elessawy, Raghda H., Eldawlatly, Seif, Abbas, Hazem M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2020
Schlagworte:	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
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