Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals

Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals

Background: Motor Imagery (MI) Brain Computer Interface (BCI) directly links central nervous system to a computer or a device. Most MI-BCI structures rely on features of a single channel of Electroencephalogram (EEG). However, to provide more valuable features, the relationships among EEG channels i...

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Bibliographic Details
Main Authors: Arash Maghsoudi, Ahmad Shalbaf
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2022-04-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
electroencephalography
motor imagery
effective connectivity
machine learning
brain-computer interfaces
Online Access:https://jbpe.sums.ac.ir/article_47115_e7d5ef843f28427c11d9d2a192083665.pdf

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