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. 2020 Nov 30;22(12):1357. doi: 10.3390/e22121357

Table 4.

Data extracted from reviewed articles on the Lyapunov exponent, where: *—significant differences.

Study and Quality Study Group Age (Years) Protocol/Conditions Plate and Sampling Rate (Hz) Method of Calculation Results/Findings
Group I: Children/Young/Older Adults
[74]
Quality: 10/11
OA: 16
Y: 16
65.7 ± 6.1
25.7 ± 3.1
2 trials (100 s) standing with EO and EC AMTI OPT400600 and electrical goniometer; 1000 Hz The multivariate largest Lyapunov exponent and the Wolf’s method [75] LyE: Y < OA. LyE has a high accuracy to distinguish subjects from different groups under the EC conditions
[76]
Quality: 9/11
M: 7
F: 8
22.2 ± 0.9
24.0 ± 2.8
3 trials standing (30 s) in each condition: EO and EC Bertec; 500 Hz The Chaos Data Analyzer software [77], based on the Wolf’s method [75] Trial 1/Trial 2/Trial 3
EO: 0.12 ± 0.07/0.13 ± 0.09/0.13 ± 0.09
EC: 1.86 ± 0.53/1.80 ± 0.89/2.23 ± 0.67
[41]SampEn
Quality: 10/11
Y: 15
OA: 15
22.1 ± 1.7
68.3 ± 2.7
4 trials (90 s): shoulder wide feet distance with EO and EC; narrow feet distance with EO and EC AMTI OR6-6-1000; 1000 Hz Wolf’s method [75] AP: LyE_OA > LyE_Y for all trials
OA: LyE_EC > LyE_EO for all trials *
Y: LyE_wide feet > LyE_narrow *
Group II: Disabilities/Injures/Diseases
[78]
Quality: 10/11
PWMS: 15
CG: 15
45.1 ± 10.5 39.4 ± 11.7 5 min standing with EO
5 min standing with EC
Kistler 9281-B11; 100 Hz The Chaos Data Analyzer software [77], based on the Wolf’s method [75] LyE in ML: PWMS < CG
LyE in AP: PWMS < CG *
The minimum value obtained in the reviewed works: 0.12 ± 0.07 [76] The maximum value obtained in the reviewed works: 2.23 ± 0.67 [76]

Abbreviations: EO—eyes open, EC—eyes closed, DT—dual task, AP—anterior–posterior, ML—medial–lateral direction, Y—young, OA—older adults, M—males, F—females, CG—control group, PWMS—patients with multiple sclerosis, SampEn—study in Table 2.