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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.