Classification of finger movements through optimal EEG channel and feature selection

Classification of finger movements through optimal EEG channel and feature selection

IntroductionElectrencephalography (EEG)-based brain-computer interfaces (BCIs) have become popular as EEG is accepted as the simplest and non-invasive neuroimaging modality to record the brain's electrical activity. In the current BCI research context, apart from predicting extremity movements,...

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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. 2025-07-01
Series:Frontiers in Human Neuroscience
Subjects:
brain-computer interfaces (BCIs)
electroencephalogram (EEG)
statistical-significance based feature selection
machine learning
finger movement classification
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1633910/full
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https://www.frontiersin.org/articles/10.3389/fnhum.2025.1633910/full

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