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

• 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: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Explainable AI; Healthy-to-stroke transfer
• Online Access: https://hdl.handle.net/10356/178117
• Institution: Nanyang Technological University

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...