The Effect of Processing Techniques on the Classification Accuracy of Brain-Computer Interface Systems

The Effect of Processing Techniques on the Classification Accuracy of Brain-Computer Interface Systems

<b>Background/Objectives</b>: Accurately classifying Electroencephalography (EEG) signals is essential for the effective operation of Brain-Computer Interfaces (BCI), which is needed for reliable neurorehabilitation applications. However, many factors in the processing pipeline can influ...

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Bibliographic Details
Main Authors: András Adolf, Csaba Márton Köllőd, Gergely Márton, Ward Fadel, István Ulbert
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Brain Sciences
Subjects:
artifact rejection
brain-computer interface
electroencephalography
motor imagery
faster
CNN
Online Access:https://www.mdpi.com/2076-3425/14/12/1272
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