Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification

In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges du...

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Bibliographic Details
Published inPloS one Vol. 20; no. 1; p. e0311942
Main Authors Jaipriya D, Sriharipriya K C
Format Journal Article
LanguageEnglish
Published Public Library of Science (PLoS) 01.01.2025
Online AccessGet full text
ISSN1932-6203
DOI10.1371/journal.pone.0311942

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