The Filtering of the Posturographic Signals Shows the Age Related Features

Figure 2

Example of the decomposition of the posturographic signal using spatiotemporal decomposition. The input PCA matrix was built from 4 columns: I: (1~1023), II: (2~1024), III: (1~1023), and IV: (2~1024). Columns I-II and III-IV reflect the same signals being shifted in time by one sample (i.e.,  s). The two upper signals represent the and signals after high-pass filtering  Hz. The 4 lower signals are the PCA columns after rotation. The and represent mainly the signal. and represent mainly the noise. The synchronous deflection in and is connected with high amplitude of the deflection in (see dashed line).