A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.

Journal: Journal of neuroscience methods
PMID: 38642806

Abstract

BACKGROUND: In the pursuit of finer Brain-Computer Interface commands, research focus has shifted towards classifying EEG signals for multiple tasks. While single-joint multitasking motor imagery provides support, distinguishing between EEG signals from the same joint remains challenging due to their similar brain spatial distribution.

Authors

  • Shan Guan
    School of Mechanical Engineering, Northeast Electric Power University, Jilin City, Jilin Province 132012, China.
  • Longkun Cong
    School of Mechanical Engineering, Northeast Electric Power University, Jilin City, Jilin Province 132012, China. Electronic address: 2202101018@neepu.edu.cn.
  • Fuwang Wang
    School of Mechanical Engineering, Northeast Electric Power University, Jilin City, Jilin Province 132012, China.
  • Tingrui Dong
    School of Mechanical Engineering, Northeast Electric Power University, Jilin City, Jilin Province 132012, China.

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