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Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users

Motor Imagery Brain-Computer Interfaces (MI-BCIs) are AI-driven systems that capture brain activity patterns associated with mental imagination of movement and convert them into commands for external devices. Traditionally, MI-BCIs operate on Machine Learning (ML) algorithms, which require extensive...

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Detalles Bibliográficos
Autores principales: Tibrewal, Navneet, Leeuwis, Nikki, Alimardani, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307149/
https://www.ncbi.nlm.nih.gov/pubmed/35867703
http://dx.doi.org/10.1371/journal.pone.0268880

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