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Table 5 GROUP II: classification results and confusion matrices for TEST2

From: EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study

Patient id and classification rate Actual classes Predicted classes
   North East South West
P1 North 40 0 0 40
35% East 0 0 0 0
South 60 100 100 60
West 0 0 0 0
P2 North 20 0 0 0
35% East 60 20 0 0
South 20 80 100 100
West 0 0 0 0
P3 North 80 100 80 100
25% East 20 0 0 0
South 0 0 20 0
West 0 0 0 0
P4 North 20 0 0 0
30% East 0 0 0 0
South 80 100 100 100
West 0 0 0 0
P5 North 40 0 0 0
45% East 60 40 0 40
South 0 60 100 60
West 0 0 0 0
P6 North 20 0 0 0
35% East 0 0 0 0
South 80 100 100 100
West 0 0 0 0
P7 North 0 0 20 0
35% East 20 0 0 0
South 80 80 80 40
  West 0 20 0 60
  1. Elements on the left-right diagonal indicate the percentage of correct classification, while elements on the off-diagonals denote percentage of misclassification. SVM was trained with data from GROUP I and validated individually on each patient with the muscle dataset selected for healthy subjects (see Methods).