Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain–Computer Interface for Decoding Imagined Syllables

Brain-Computer Interfaces (BCIs) aim to establish a pathway between the brain and an external device without the involvement of the motor system, relying exclusively on neural signals. Such systems have the potential to provide a means of communication for patients who have lost the ability to speak...

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Bibliographic Details

Published in:	Brain Sciences
Main Authors:	Shizhe Wu, Kinkini Bhadra, Anne-Lise Giraud, Silvia Marchesotti
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	brain–computer interface adaptive LDA classifier electroencephalography speech imagery syllable decoding
Online Access:	https://www.mdpi.com/2076-3425/14/3/196