Myoelectric pattern recognition performance enhancement using nonlinear features

HIGHLIGHTS

  • who: Myoelectric Pattern Recognition Performance et al. from the Department of Electrical and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh have published the article: Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features, in the Journal: Computational Intelligence and Neuroscience 95 of 29/04/2022
  • what: The authors validate the proposed features on two datasets the existing four feature extraction methods variable window size and various signal-to-noise ratios (SNR). This research is carried out to determine a further contribution to the time-domain feature set. Al-Timemy et_al extended the work of Khushaba et_al . . .

     

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