Statistical analysis
AFOs, AFO
All gait parameters were calculated as the average of three gait cycles for each condition, with/without an AFO before training and after training. All data were checked for normality distribution by the Shapiro–Wilk test.First, we compared the consistency of the baseline data, including the first shod gait data without AFO and general information. An independent t-test was performed for normally distributed data and a Mann–Whitney To know the effect of different types of AFOs after the gait training, two-way repeated ANOVA was performed for normally distributed data, with paired factors (condition, with and without AFOs) and an unpaired factor (type of AFOs). If no interaction was found, the main effects of the two factors were assessed. In cases of interaction, a comparison was made between conditions in each AFO group using one-way ANOVA. For the data that were not normally distributed, the effect of the conditions was compared using the Wilcoxon signed-rank test and the effect of the types of AFOs was examined using the Mann–Whitney Finally, the correlation analysis of the parameters showing significant interaction was done for each group. The level of significance was set at 