Figure 4.
Probability densities of some selected features after pre-processing by range normalization, in preparation for SVM classification (see Table II for a list of these features). The vertical axes are the probability densities P(x) of the normalized feature values x, estimated using the kernel density method with Gaussian kernel function. The dashed lines are for healthy subjects, the solid lines for Parkinson's subjects.