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. 2018 Mar 23;9:187. doi: 10.3389/fneur.2018.00187

Table 1.

Overall results of the root-mean-square error (RMSE) and correlation coefficient.

Index
Middle
Ring
EMG Drive EMG Drive EMG Drive
Sine 20 C 0.15 (0.84) 0.22 (0.70) 0.18 (0.81) 0.14 (0.90) 0.19 (0.86) 0.13 (0.91)
A 0.22 (0.70) 0.27 (0.67) 0.23 (0.77) 0.19 (0.85) 0.15 (0.90) 0.10 (0.94)
Sine 50 C 0.27 (0.81) 0.21 (0.80) 0.19 (0.80) 0.17 (0.83) 0.16 (0.91) 0.10 (0.92)
A 0.18 (0.73) 0.10 (0.94) 0.23 (0.76) 0.19 (0.84) 0.25 (0.75) 0.19 (0.85)
Trapezoid 20 C 0.17 (0.91) 0.20 (0.89) 0.22 (0.84) 0.21 (0.88) 0.16 (0.92) 0.16 (0.92)
A 0.32 (0.32) 0.25 (0.76) 0.14 (0.88) 0.13 (0.89) 0.25 (0.77) 0.15 (0.85)
Trapezoid 50 C 0.10 (0.95) 0.16 (0.92) 0.12 (0.92) 0.13 (0.92) 0.10 (0.94) 0.10 (0.95)
A 0.33 (0.28) 0.12 (0.95) 0.25 (0.82) 0.22 (0.86) 0.16 (0.93) 0.12 (0.95)

Mean 0.22 ± 0.08 (0.60 ± 0.36) 0.19 ± 0.06 (0.83 ± 0.11) 0.20 ± 0.05 (0.82 ± 0.06) 0.17 ± 0.04 (0.87 ± 0.03) 0.18 ± 0.05 (0.87 ± 0.07) 0.13 ± 0.03 (0.91 ± 0.04)

The correlation coefficients are written in brackets. C and A represent contralateral and affected sides. Values in italics show the cases that the EMG-based estimation is better than the neural-drive-based estimation.