Table 4.
Generalized linear Mixed Models showing differences in the effect of joint angles in the walking cycle using a hybrid assistive limb.
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| Odds ratio | P value | Odds ratio | P value | Odds ratio | P value | |
| Intercept | .000 | .035 | .000 | .045 | .000 | .019 |
| Hip_ext | 1.451 | .067 | 1.501 | .058 | 1.741 | .033 |
| Knee_Sw | 1.407 | .032 | 1.365 | .051 | 1.501 | .021 |
| Knee_Varus | .384 | .138 | ||||
| Hip_ext*Knee_Varus | .896 | .117 | ||||
| Model goodness of fit | ||||||
| AICc | 23.144 | 22.560 | 21.801 | |||
| BIC | 24.064 | 23.794 | 22.722 | |||
| Positive distinction rate | ||||||
| HAL Group | 90.0% | 80.0% | 90.0% | |||
| Control Group | 77.8% | 88.9% | 77.8% | |||
| Total | 84.2% | 84.2% | 84.2% | |||
Knee_varus: amount of change of the knee joint in the varus direction during the initial stance phase; AICc: corrected Akaike’s Information Criterion corrected, BIC: Schwarz’s Bayesian Information Criterion.