Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application

• Main Authors: Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini, Ali Farzamnia, Liau Chung Fan
• Format: Article
• Language: English; English
• Published: IEEE 2021
• Subjects: R858-859.7 Computer applications to medicine. Medical informatics; TA1-2040 Engineering (General). Civil engineering (General)
• Online Access: https://eprints.ums.edu.my/id/eprint/32771/1/Speed%20Classification%20of%20Upper%20Limb%20Movements%20Through%20EEG%20Signal%20for%20BCI%20Application.pdf; https://eprints.ums.edu.my/id/eprint/32771/2/Speed%20Classification%20of%20Upper%20Limb%20Movements%20Through%20EEG%20Signal%20for%20BCI%20Application1.pdf; https://eprints.ums.edu.my/id/eprint/32771/; https://ieeexplore.ieee.org/document/9504557; https://doi.org/10.1109/ACCESS.2021.3102183

Brain-Computer Interface (BCI) systems have obtained remarkable results in rehabilitation and robot control processes by converting brain signals into control commands. The quantity of movement speed is the fundamental issue in BCI that requires additional research. This paper investigated the class...