Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models

Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models

Abstract Brain-computer interfaces (BCIs) establish a communication pathway between the human brain and external devices by decoding neural signals. This study focuses on enhancing the classification of Motor Imagery (MI) within BCI systems by leveraging advanced machine learning and deep learning t...

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Bibliographic Details
Main Authors: Abir Das, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger, Anil Audumbar Pise
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
BCI
Classification
EEG
Machine learning
Deep learning
Motor imagery
Online Access:https://doi.org/10.1038/s41598-025-07427-2
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https://doi.org/10.1038/s41598-025-07427-2

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