Recent trends in eeg-based motor imagery signal analysis and recognition: a comprehensive review.

• Main Authors: Sharma, Neha, Sharma, Manoj, Singhal, Amit, Vyas, Ritesh, Malik, Hasmat, Afthanorhan, Asyraf, Hossaini, Mohammad Asef
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104898/1/NehaSharmaManojSharmaAmitSinghal2023_RecentTrendsinEEGBasedMotorImagerySignal.pdf; http://eprints.utm.my/104898/; http://dx.doi.org/10.1109/ACCESS.2023.3299497

The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and medical fields drew our attention to perform a detailed analysis. However, the problem is ill-posed as these signals...