Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models

Rafik Khemakhem; Sana Belgacem; Amira Echtioui; Mohamed Ghorbel; Ahmed Ben Hamida; Inès Kammoun

doi:10.1007/s42979-024-02845-x

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Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models

Rafik Khemakhem Sana Belgacem Amira Echtioui Mohamed Ghorbel Ahmed Ben Hamida Inès Kammoun

Year: 2024 Journal: SN Computer Science Vol: 5 (5) Publisher: Springer Nature

DOI: 10.1007/s42979-024-02845-x

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Keywords:

Motor imagery Electroencephalography Artificial intelligence Class (philosophy) Computer science Pattern recognition (psychology) Speech recognition Psychology Brain–computer interface Neuroscience

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models

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