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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.