This dataset contains the input features used to train and evaluate classification models for chronic ankle instability (CAI) and to generate individualized motor function scores. The features are der
Data are calculated with simple regression, and presented with the coefficient of determination (r2). * p < 0.05. BDI, Becks Depression Inventory; CoV, coefficient of variation; DEV mean, mean tap dev
The parameters for each subject is specified. Region indicates the regions of the body effected: (Q) quadriplegic, (H) hemiplegic, and (D) Diplegic. Gross Motor Function Classification System (GMFCS)
Commonality analysis of associations between mean synchronization error (MSE) and information-processing speed (IPS) on Raven’s scores or fine motor scores (FMS).