Bisi M C, Stagni R
a Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" , University of Bologna , Bologna , Italy.
Comput Methods Biomech Biomed Engin. 2018 Mar;21(4):325-331. doi: 10.1080/10255842.2018.1448392. Epub 2018 Mar 9.
Movement complexity can be defined as the capability of using different strategies to accomplish a specific task and is expected to increase with maturation, reaching its highest level in adulthood.Multiscale Entropy (MSE) has been proposed to estimate complexity on different kinematic signals, at different time scales. When applied on trunk acceleration data during natural walking (NW) at different ages, MSE decreased from childhood to adulthood, apparently contradicting the premises. On the contrary, authors hypothesised that this decrease was dependent on the specific task analysed and resulted from the concurrent increase in gait automaticity.This work aims to test this hypothesis, applying MSE on a non-paradigmatic task (tandem walking, TW), in order to exclude aspects related to automaticity.MSE was estimated on trunk acceleration data, collected on children, adolescents, and young adults during TW and NW. As hypothesized, MSE increased significantly with age in TW and decreased in NW on the sagittal plane. Assuming the development of complexity in TW as reference, MSE in NW showed a reduction to half of the complexity of TW with maturation on the sagittal plane. These results indicate MSE as sensitive to differences in performance due to maturation and to expected changes in complexity related to the specific performed task.
运动复杂性可定义为运用不同策略完成特定任务的能力，且预计会随着成熟度的增加而提高，在成年期达到最高水平。多尺度熵（MSE）已被提出用于估计不同运动学信号在不同时间尺度上的复杂性。当应用于不同年龄段自然行走（NW）过程中的躯干加速度数据时，MSE从儿童期到成年期下降，这显然与前提相矛盾。相反，作者假设这种下降取决于所分析的特定任务，并且是步态自动性同时增加的结果。这项工作旨在通过在非范式任务（串联行走，TW）上应用MSE来检验这一假设，以排除与自动性相关的因素。在TW和NW期间收集了儿童、青少年和年轻人的躯干加速度数据，并对其进行了MSE估计。正如所假设的，在矢状面上，TW的MSE随年龄显著增加，而NW的MSE则下降。以TW中复杂性的发展为参照，矢状面上成熟时NW的MSE显示降至TW复杂性的一半。这些结果表明MSE对因成熟度导致的性能差异以及与所执行特定任务相关的复杂性预期变化敏感。
