A new framework for automatic detection of motor and mental imagery EEG signals for robust BCI systems

• Main Authors: Yu, Xiaojun, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, Fan, Zeming, Xiao, Gaoxi
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Biomedical Signal Processing; Brain–Computer Interface
• Online Access: https://hdl.handle.net/10356/159504
• Institution: Nanyang Technological University

Nonstationary signal decomposition (SD) is a primary procedure to extract monotonic components or modes from electroencephalogram (EEG) signals for the development of robust brain-computer interface (BCI) systems. This study proposes a novel automated computerized framework for proficient identifica...