The statistical significances for differences between pairs of signals representing the given deteriorations of postural control quality.

ZC–Zero-Crossing points, CoM–Center of Mass signal, CoPM–difference between Center of Pressure and Center of Mass signals, AP–antero-posterior direction, LAT–lateral direction, EF–closing eyes deterioration factor, HF–bending head deterioration factor, AF–age/gait deterioration factor. The logarithms of p (log10 p, t-Student test) are presented (e.g. log10 0.05 = -1.3, log10 0.001 = -3). Eo–eyes open, Ec–eyes closed, Hn–head normal, Hbb–head bent back, GD–old with gait disturbance group, H1 –old healthy group, H2 –middle aged, H3 –young. LS = log10(std(signal)), LE—log10(E90), E90 –area of the ellipse covering 90% of the 2D signal envelope, LVCoPM = mean (log10 (|vCoPMZC| )), LVCoM = mean(log10(|vCoMZC|)), LACoPM = mean(log10(|aCoPMZC|)), vCoPMZC, vCoMZC, aCoPMZC–velocities and acceleration of CoPM and CoM signals in the ZC points. LM = log10 (|mean (vCoPMZC · vCoMZC · aCoPMZC)| ), ML = mean (log10 (|vCoPMZC · vCoMZC · aCoPMZC|) ). The logarithms of the individual parameters are used and recommended for use as possessing a normal or nearly normal distribution, thus, being less sensitive to single strongly high values. Velocity and acceleration of CoPM in the ZC points for lateral direction possess a better ability to detect the postural control deteriorations than the standard parameters: standard deviation of the signal (LS) and area of the ellipse (LE) covering 90% of the 2D signal envelope. The strongest significances in each column are marked in bold.