Sample Entropy, Univariate, and Multivariate Multi-Scale Entropy in Comparison with Classical Postural Sway Parameters in Young Healthy Adults

• Published in: Frontiers in human neuroscience Vol. 11; p. 206
• Main Authors: Hansen, Clint, Wei, Qin, Shieh, Jiann-Shing, Fourcade, Paul, Isableu, Brice, Majed, Lina
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 26.04.2017; Frontiers Media S.A
• Subjects: Aging; Balance; center of pressure; Entropy; Gait; multi-scale entropy; multivariate multi-scale entropy; Neuroscience; Physiology; Posture; sample entropy; Signal processing; Time series; Visual perception; visuo-kinesthetic effect; France; Qatar; multi-scale entropy; center of pressure; visuo-kinesthetic effect; multivariate multi-scale entropy; sample entropy
• ISSN: 1662-5161; 1662-5161
• DOI: 10.3389/fnhum.2017.00206

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.