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. Author manuscript; available in PMC: 2014 Aug 1.
Published in final edited form as: J Neural Eng. 2013 Jul 17;10(4):10.1088/1741-2560/10/4/046015. doi: 10.1088/1741-2560/10/4/046015

Table II.

Overall classification accuracies (%) for each stroke subject with two feature sets under five different testing schemes

Feature Set Subject # Testing Schemes
Slow-Fast Fast-Slow Slow-Slow Fast-Fast Mix-Mix
TD 1 99.34 95.88 99.26 99.63 99.10
2 81.54 96.07 99.36 97.12 97.97
3 80.00 72.32 93.29 97.43 94.56
4 91.41 84.81 96.57 99.72 98.12
5 77.09 73.94 92.42 98.51 95.71
6 67.89 62.22 92.80 93.26 92.18
7 92.03 94.33 99.77 99.37 99.79
8 96.36 85.66 98.63 99.21 98.96
Averaged (Mean±SD) 85.71±10.78 83.15±12.55 96.51±3.20 98.03±2.16 97.05±2.65

AR+RMS 1 99.12 96.68 99.63 99.78 99.60
2 83.61 93.53 99.42 97.82 98.45
3 83.22 76.67 96.07 99.27 95.99
4 93.63 89.24 99.37 99.82 99.42
5 83.54 74.70 92.92 98.96 96.57
6 72.53 63.98 93.07 93.96 94.48
7 95.77 97.76 100.0 99.56 99.95
8 96.04 86.84 98.29 99.79 99.07
Averaged (Mean±SD) 88.43±9.10 84.92±12.02 97.35±2.95 98.62±2.00 97.94±2.01