The Filtering of the Posturographic Signals Shows the Age Related Features

Figure 5

Analysis of the parameter . The figure shows the statistical significance of the main effect in MANOVA analysis for the factor “patient groups.” Logarithmic scale is used. Starting from about 2.4 Hz, an increase in the filter frequency causes the increase in the ability of to separate different age groups. While building PCA matrix, the use of gives relative best results.