Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface

Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface

Objective. Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been developed primarily for stroke rehabilitation, however, due to limited stroke data, current deep learning methods for cross-subject classification rely on healthy data. This study aims to ass...

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Bibliographic Details
Main Authors: Nagarajan, Aarthy, Robinson, Neethu, Ang, Kai Keng, Chua, Karen Sui Geok, Chew, Effie, Guan, Cuntai
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Explainable AI
Healthy-to-stroke transfer
Online Access:https://hdl.handle.net/10356/178117

Internet

https://hdl.handle.net/10356/178117

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