Fig. 6
From: Quantitative assessment of cerebellar ataxia, through automated limb functional tests
Boxplot representing the feature separation with doctors score using Linear Discriminant Analysis Classifier. The 3 different classes of the classifier include controls, patients with low severity and patients with high severity of ataxia. The panel labels indicate the axes showing best performance of the classifier for the five kinematic parameters in this study. In FNT (Fig. 6b), angular acceleration features along Y-axis gave superior classification compared to the other parameters. In DDK, X and Z-axis features of acceleration (Fig. 6f) and Y-axis features of angle (Fig. 6j) shows highest discrimination. In HST, acceleration features of Y,Z axis (Fig. 6k) discriminated the cohort of patients and healthy subjects compared to the other parameters. These best outcomes from the LDA analysis is highlighted separately for acceleration and rotation