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Table 2 Participant-specific and mean RA results of the different parameter updating for SEQDA and SELDA

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

   Classification accuracy(%)
Participant   SELDA (M) SELDA (C) SEQDA
(M)
SEQDA
(C)
P1 AR 96.98 96.39 95.52 96.26
  FC 96.48 96.10 97.56 99.18
P2 AR 93.56 93.14 88.78 92.84
  FC 96.28 95.19 95.69 97.45
P3 AR 97.32 96.20 98.59 99.44
  FC 98.87 98.04 98.60 99.51
P4 AR 92.95 92.15 92.03 92.63
  FC 92.18 92.31 93.87 94.27
P5 AR 92.37 89.78 91.25 93.58
  FC 93.97 92.80 95.07 97.90
P6 AR 96.61 94.85 95.83 97.00
  FC 96.10 95.46 97.06 97.91
P7 AR 93.72 91.64 85.45 88.76
  FC 90.16 89.37 93.09 94.59
P8 AR 93.97 93.14 97.55 98.03
  FC 95.87 95.49 98.11 97.70
P9 AR 97.58 97.48 96.78 97.14
  FC 97.78 97.80 98.24 99.00
P10 AR 96.18 95.72 95.98 97.59
  FC 95.33 94.93 96.53 97.13
Mean AR 95.12 94.05 93.87 95.33
  FC 95.30 94.75 96.38 97.46