Motor imagery EEG signal classification using novel deep learning algorithm

Motor imagery EEG signal classification using novel deep learning algorithm

Abstract Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges and exhibit reduced performances due to s...

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Bibliographic Details
Main Authors: Sathish Mathiyazhagan, M. S. Geetha Devasena
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
EEG signal processing
Brain–computer interface
Motor imagery
Hybrid preprocessing model
Adaptive deep belief network
Far and near optimization
Online Access:https://doi.org/10.1038/s41598-025-00824-7
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https://doi.org/10.1038/s41598-025-00824-7

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