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Table 8 Coefficients from regression models 1 and 2

From: Adaptive training algorithm for robot-assisted upper-arm rehabilitation, applicable to individualised and therapeutic human-robot interaction

Model Unstandardized coefficients Standardized coefficients t Sig.
B Std. Error Beta
Model 1 (Constant) 7.457 .222   33.617 .000
Embedded -.650 .081 -.120 -8.027 .000
Reach .851 .076 .157 11.214 .000
Towards Gravity .399 .095 .068 4.206 .000
Ground Level .920 .091 .157 10.091 .000
Small -.151 .078 -.028 -1.950 .051
Subject 2 -1.563 .276 -.117 -5.669 .000
Participant 3 3.003 .284 .211 10.572 .000
Participant 4 1.471 .284 .103 5.178 .000
Participant 5 .838 .309 .050 2.710 .007
Participant 6 4.903 .295 .319 16.630 .000
Participant 7 2.891 .295 .188 9.805 .000
Participant 8 -.390 .284 -.027 -1.374 .170
Participant 9 1.073 .295 .070 3.640 .000
Participant 10 .566 .295 .037 1.921 .055
Participant 11 -.662 .284 -.046 -2.329 .020
Participant 12 2.362 .295 .154 8.013 .000
Participant 13 5.587 .295 .364 18.950 .000
Participant 14 -1.445 .284 -.101 -5.087 .000
Participant 15 -.340 .295 -.022 -1.154 .249
Participant 16 -.379 .295 -.025 -1.285 .199
Participant 17 .748 .295 .049 2.536 .011
Participant 18 -.597 .295 -.039 -2.024 .043
Participant 19 -1.449 .295 -.094 -4.914 .000
Participant 20 2.323 .295 .151 7.879 .000
Participant 21 -2.114 .295 -.138 -7.171 .000
Participant 22 2.230 .295 .145 7.564 .000
Participant 23 2.091 .284 .147 7.362 .000
Participant 24 .264 .295 .017 .895 .371
Participant 25 -1.835 .295 -.119 -6.224 .000
Participant 26 .818 .295 .053 2.775 .006
Participant 27 -.930 .295 -.061 -3.154 .002
Participant 30 -.826 .295 -.054 -2.801 .005
Participant 31 2.682 .295 .175 9.099 .000
Participant 32 -.079 .294 -.005 -.269 .788
Model 2 (Constant) 6.358 .215   29.597 .000
Embedded -3.477 .167 -.641 -20.841 .000
Reach 4.433 .167 .817 26.606 .000
Towards Gravity .117 .289 .020 .404 .686
Ground Level 1.831 .167 .312 10.991 .000
Small .729 .167 .134 4.377 .000
Participant 2 -1.563 .242 -.117 -6.470 .000
Participant 3 3.003 .249 .211 12.065 .000
Participant 4 1.471 .249 .103 5.909 .000
Participant 5 .838 .271 .050 3.092 .002
Participant 6 4.903 .258 .319 18.978 .000
Participant 7 2.891 .258 .188 11.190 .000
Participant 8 -.390 .249 -.027 -1.568 .117
Participant 9 1.073 .258 .070 4.153 .000
Participant 10 .566 .258 .037 2.192 .028
Participant 11 -.662 .249 -.046 -2.658 .008
Participant 12 2.362 .258 .154 9.145 .000
Participant 13 5.587 .258 .364 21.626 .000
Participant 14 -1.445 .249 -.101 -5.805 .000
Participant 15 -.340 .258 -.022 -1.316 .188
Participant 16 -.379 .258 -.025 -1.467 .143
Participant 17 .748 .258 .049 2.894 .004
Participant 18 -.597 .258 -.039 -2.309 .021
Participant 19 -1.449 .258 -.094 -5.608 .000
Participant 20 2.323 .258 .151 8.991 .000
Participant 21 -2.114 .258 -.138 -8.184 .000
Participant 22 2.230 .258 .145 8.632 .000
Participant 23 2.091 .249 .147 8.402 .000
Participant 24 .264 .258 .017 1.022 .307
Participant 25 -1.835 .258 -.119 -7.103 .000
Participant 26 .818 .258 .053 3.167 .002
Participant 27 -.930 .258 -.061 -3.600 .000
Participant 30 -.826 .258 -.054 -3.197 .001
Participant 31 2.682 .258 .175 10.384 .000
Participant 32 -.065 .258 -.004 -.253 .800
EV1G1 4.193 .334 .653 12.569 .000
EV1G2 2.831 .264 .377 10.732 .000
RR1G1 -2.682 .289 -.358 -9.280 .000
RR1G2 -3.759 .204 -.501 -18.401 .000
RR1CB1 -1.361 .236 -.212 -5.770 .000
G1CB1 -.390 .236 -.052 -1.653 .099
G2CB1 .345 .167 .046 2.068 .039