Neural Decoding of EEG Signals with Machine Learning: A Systematic Review

Electroencephalography (EEG) is a non-invasive technique used to record the brain’s evoked and induced electrical activity from the scalp. Artificial intelligence, particularly machine learning (ML) and deep learning (DL) algorithms, are increasingly being applied to EEG data for pattern analysis, g...

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Detalles Bibliográficos
Autores principales: Saeidi, Maham, Karwowski, Waldemar, Farahani, Farzad V., Fiok, Krzysztof, Taiar, Redha, Hancock, P. A., Al-Juaid, Awad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615531/
https://www.ncbi.nlm.nih.gov/pubmed/34827524
http://dx.doi.org/10.3390/brainsci11111525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615531/
https://www.ncbi.nlm.nih.gov/pubmed/34827524
http://dx.doi.org/10.3390/brainsci11111525

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