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

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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Bibliographic Details
Main Authors: Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok, Redha Taiar, P. A. Hancock, Awad Al-Juaid
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Brain Sciences
Subjects:
brain signals classification
EEG
deep learning
machine learning
review
Online Access:https://www.mdpi.com/2076-3425/11/11/1525

Internet

https://www.mdpi.com/2076-3425/11/11/1525

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