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Table 1 Performance of the classifier (recognition ratio) with re-training of the classification algorithm

From: Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces

Task(s) identified

rr

M1 channel #

M2 channel #

U channel #

 

(%)

1

2

3

4

5

6

7

8

9

10

11

12

rest vs little

93

--

--

--

--

X

--

--

--

X

X

--

X

rest vs palmar

95

X

--

--

--

--

X

--

--

X

--

--

--

rest vs pinch

100

--

X

--

X

X

--

--

X

--

X

--

--

rest vs little vs palmar

92

--

X

--

--

X

--

X

--

--

X

--

X

rest vs little vs pinch

90

--

X

--

X

--

X

--

X

--

--

X

--

rest vs pinch vs palmar

87

--

--

X

--

X

--

--

--

--

--

--

X

rest vs little vs pinch vs palmar

85

--

X

--

--

X

--

X

--

X

X

--

--

rest vs activity

87

--

--

--

X

X

X

X

X

--

X

X

X

little vs pinch vs palmar

 

--

X

X

--

--

--

--

X

--

X

--

X

  1. The parameters of the classifier were selected for each day using data recorded in that specific day for the training. For each classification, the max performance (rr) and the best combination of channels used are given. rr = recognition ratio of the SVM classifier; M1 an M2 indicate the two tfLIFE implanted in the median nerve whereas U indicates the tfLIFE implanted in the ulnar nerve.