- 4.2Impact Factor
- 7.5CiteScore
- 17 daysTime to First Decision
Computers, Volume 11, Issue 5
May 2022 - 26 articles
Cover Story: Using brain–computer interfaces (BCI), brain activity signals can be acquired, preprocessed, and classified in order to then be utilized in various fields of application such as prosthetics, robot control, or even entertainment. The extracted brain features and their classification method play crucial roles in the system’s ability to obtain and retain high robustness and efficiency. In this paper, we perform research to identify the most robustly effective approaches in the field of motor imagery (MI) BCIs. The results show that wavelet transforms combined with deep learning achieved the highest scores in terms of robustness and performance. View this paper
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Computers - ISSN 2073-431X