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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