Skip to main content

Table 1 Participant-specific and mean RA results of different classifiers

From: Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control

   Classification accuracy(%)
Participant   LDA QDA SELDA SEQDA
P1 AR 95.29 94.36 97.36 96.39
  FC 95.30 96.65 97.12 99.29
P2 AR 92.95 88.15 93.58 92.95
  FC 94.60 94.61 97.09 97.60
P3 AR 96.23 98.02 97.14 99.44
  FC 98.00 97.79 98.89 99.62
P4 AR 91.97 91.58 93.00 92.60
  FC 91.83 93.49 92.49 94.26
P5 AR 90.23 90.47 91.68 92.60
  FC 92.05 93.85 94.49 98.10
P6 AR 94.17 95.34 96.62 97.09
  FC 94.48 95.60 96.48 98.15
P7 AR 89.24 84.88 93.66 88.96
  FC 86.61 90.88 90.79 94.53
P8 AR 93.18 96.88 93.58 98.33
  FC 95.59 97.45 98.22 98.54
P9 AR 96.75 96.32 98.24 97.18
  FC 97.25 98.17 98.22 99.05
P10 AR 95.66 95.31 96.20 97.64
  FC 95.08 96.17 95.45 97.04
  AR 93.57 ± 93.13 ± 95.11 ± 95.34 ±
Mean ± std   2.54 4.24 2.25 3.32
  FC 94.08 ± 95.47 ± 95.67 ± 97.62 ±
   3.26 2.28 2.52 1.87
  1. The best RA results for each participant are highlighted in bold.