Interpretable and robust AI in electroencephalogram systems

• Main Author: Zhou, Xinliang
• Other Authors: Liu Yang
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Computer and Information Science; Engineering
• Online Access: https://hdl.handle.net/10356/182352
• Institution: Nanyang Technological University

Electroencephalogram (EEG) provides valuable information about brain activities and states in a non-invasive way, making it a crucial research area in human-computer interaction (HCI). With the rapid advancement of artificial intelligence (AI) technologies, EEG systems have increasingly harnessed th...