EEG-based finger movement classification with intrinsic time-scale decomposition

EEG-based finger movement classification with intrinsic time-scale decomposition

IntroductionBrain-computer interfaces (BCIs) are systems that acquire the brain's electrical activity and provide control of external devices. Since electroencephalography (EEG) is the simplest non-invasive method to capture the brain's electrical activity, EEG-based BCIs are very popular...

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Bibliographic Details
Main Authors: Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Yalcin Isler
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Human Neuroscience
Subjects:
brain-computer interfaces (BCIs)
electroencephalogram (EEG)
feature reduction
machine learning
finger movements (FM) classification
intrinsic time-scale decomposition (ITD)
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2024.1362135/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2024.1362135/full

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