Busa Michael A, van Emmerik Richard E A
Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003, USA.
J Sport Health Sci. 2016 Mar;5(1):44-51. doi: 10.1016/j.jshs.2016.01.018. Epub 2016 Jan 21.
Clinical disorders often are characterized by a breakdown in dynamical processes that contribute to the control of upright standing. Disruption to a large number of physiological processes operating at different time scales can lead to alterations in postural center of pressure (CoP) fluctuations. Multiscale entropy (MSE) has been used to identify differences in fluctuations of postural CoP time series between groups with and without known physiological impairments at multiple time scales. The purpose of this paper is to: 1) review basic elements and current developments in entropy techniques used to assess physiological complexity; and 2) identify how MSE can provide insights into the complexity of physiological systems operating at multiple time scales that underlie the control of posture. We review and synthesize evidence from the literature providing support for MSE as a valuable tool to evaluate the breakdown in the physiological processes that accompany changes due to aging and disease in postural control. This evidence emerges from observed lower MSE values in individuals with multiple sclerosis, idiopathic scoliosis, and in older individuals with sensory impairments. Finally, we suggest some future applications of MSE that will allow for further insight into how physiological deficits impact the complexity of postural fluctuations; this information may improve the development and evaluation of new therapeutic interventions.
临床疾病通常以有助于控制直立站立的动态过程的崩溃为特征。在不同时间尺度上运行的大量生理过程受到干扰,可能会导致姿势压力中心(CoP)波动的改变。多尺度熵(MSE)已被用于识别在多个时间尺度上,有已知生理损伤和无已知生理损伤的群体之间姿势CoP时间序列波动的差异。本文的目的是:1)回顾用于评估生理复杂性的熵技术的基本要素和当前发展;2)确定MSE如何能够洞察在多个时间尺度上运行的、构成姿势控制基础的生理系统的复杂性。我们回顾并综合了文献中的证据,这些证据支持MSE作为一种有价值的工具,用于评估随着年龄增长和疾病导致姿势控制变化而伴随的生理过程的崩溃。这些证据来自于在患有多发性硬化症、特发性脊柱侧凸的个体以及有感觉障碍的老年人中观察到的较低的MSE值。最后,我们提出了MSE未来的一些应用,这将有助于进一步洞察生理缺陷如何影响姿势波动的复杂性;这些信息可能会改善新治疗干预措施的开发和评估。