Classification of EEG Signal Using Deep Learning Architectures Based Motor-Imagery for an Upper-Limb Rehabilitation Exoskeleton

The brain-computer interface (BCI) is an emerging technology that enables people with physical disabilities to control and interact with devices only by using their minds and without being dependent on healthy people. One of the most popular BCI paradigms, motor imagery (MI) based on electroencephal...

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Bibliographic Details
Published in:	SN computer science Vol. 6; no. 3; p. 193
Main Authors:	Titkanlou, Maryam Khoshkhooy, Pham, Duc Thien, Mouček, Roman
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.03.2025 Springer Nature B.V
Subjects:	Accuracy Algorithms Artificial neural networks Classification Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data collection Data Structures and Information Theory Datasets Deep learning Electrodes Electroencephalography Exoskeletons Human-computer interface Imagery Information Systems and Communication Service Machine learning Neural networks Original Research Pattern Recognition and Graphics Rehabilitation Research and Development on Biomedical Engineering Systems and Technologies (BIOSTEC 2024) Robots Software Engineering/Programming and Operating Systems Vision Deep neural network Electroencephalography Motor imagery ERD/ERS Brain–computer interface
ISSN:	2661-8907, 2662-995X, 2661-8907
Online Access:	Get full text
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