Key result
Non-linear entropy methods, particularly Multivariate Multi-Scale Entropy applied to incremented time series, were more sensitive in detecting changes in postural displacement under altered visual conditions compared to classical posturographic measures.
Why the study?
Do non-linear entropy measures better assess center of pressure displacement dynamics compared to classical parameters in healthy adults under altered visual conditions?
Observational (n=11)
No
Do non-linear entropy measures better assess center of pressure displacement dynamics compared to classical parameters in healthy adults under altered visual conditions?
Absolute Event Rate: 9.03% vs 8.46%
p-value: p=≤0.01
Non-linear entropy methods applied to incremental time series provide a more sensitive evaluation of postural dynamics than classical parameters.
Non-linear entropy measures may enhance postural sensitivity in healthy adults; hypothesis-generating and should not yet change clinical practice.
The present study aimed to compare various entropy measures to assess the dynamics and complexity of center of pressure (COP) displacements. Perturbing balance tests are often used in healthy subjects to imitate either pathological conditions or to test the sensitivity of postural analysis techniques. Eleven healthy adult subjects were asked to stand in normal stance in three experimental conditions while the visuo-kinesthetic input was altered. COP displacement was recorded using a force plate. Three entropy measures [Sample Entropy (SE), Multi-Scale Entropy (MSE), and Multivariate Multi Scale Entropy (MMSE)] describing COP regularity at different scales were compared to traditional measures of COP variability. The analyses of the COP trajectories revealed that suppression of vision produced minor changes in COP displacement and in the COP characteristics. The comparison with the reference analysis showed that the entropy measures analysis techniques are more sensitive in the incremented time series compared to the classical parameters and entropy measures of original time series. Non-linear methods appear to be an additional valuable tool for analysis of the dynamics of posture especially when applied on incremental time series.
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Hansen et al. (2017) conducted an observational in Healthy adults (postural control) (n=11). Altered visuo-kinesthetic input (eyes closed or perturbed vision) vs. Eyes open (normal stance) was evaluated on Complexity index of Multivariate Multi-Scale Entropy (CI_MMSE) for incremented time series (p=≤0.01). Non-linear entropy methods, particularly Multivariate Multi-Scale Entropy applied to incremented time series, were more sensitive in detecting changes in postural displacement under altered visual conditions compared to classical posturographic measures.
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