关键词: EMG assessment chronic stroke kinematic kinetic non-linear

Mesh : Humans Biomechanical Phenomena / physiology Stroke / physiopathology Nonlinear Dynamics Electromyography / methods Movement / physiology Stroke Rehabilitation / methods

来  源:   DOI:10.3390/s24072338   PDF(Pubmed)

Abstract:
Non-linear and dynamic systems analysis of human movement has recently become increasingly widespread with the intention of better reflecting how complexity affects the adaptability of motor systems, especially after a stroke. The main objective of this scoping review was to summarize the non-linear measures used in the analysis of kinetic, kinematic, and EMG data of human movement after stroke. PRISMA-ScR guidelines were followed, establishing the eligibility criteria, the population, the concept, and the contextual framework. The examined studies were published between 1 January 2013 and 12 April 2023, in English or Portuguese, and were indexed in the databases selected for this research: PubMed®, Web of Science®, Institute of Electrical and Electronics Engineers®, Science Direct® and Google Scholar®. In total, 14 of the 763 articles met the inclusion criteria. The non-linear measures identified included entropy (n = 11), fractal analysis (n = 1), the short-term local divergence exponent (n = 1), the maximum Floquet multiplier (n = 1), and the Lyapunov exponent (n = 1). These studies focused on different motor tasks: reaching to grasp (n = 2), reaching to point (n = 1), arm tracking (n = 2), elbow flexion (n = 5), elbow extension (n = 1), wrist and finger extension upward (lifting) (n = 1), knee extension (n = 1), and walking (n = 4). When studying the complexity of human movement in chronic post-stroke adults, entropy measures, particularly sample entropy, were preferred. Kinematic assessment was mainly performed using motion capture systems, with a focus on joint angles of the upper limbs.
摘要:
人体运动的非线性和动态系统分析最近变得越来越普遍,目的是更好地反映复杂性如何影响电机系统的适应性,尤其是中风后.这次范围审查的主要目的是总结动力学分析中使用的非线性措施,运动学,以及中风后人体运动的肌电图数据。遵循PRISMA-ScR指南,建立资格标准,人口,这个概念,和上下文框架。被检查的研究发表于2013年1月1日至2023年4月12日,以英语或葡萄牙语,并在为本研究选择的数据库中编制索引:PubMed®,WebofScience®,电气和电子工程师协会®,ScienceDirect®和GoogleScholar®。总的来说,763篇文章中有14篇符合纳入标准。识别的非线性度量包括熵(n=11),分形分析(n=1),短期局部发散指数(n=1),最大Floquet乘数(n=1),和Lyapunov指数(n=1)。这些研究集中在不同的运动任务:达到掌握(n=2),到达点(n=1),手臂跟踪(n=2),肘部屈曲(n=5),弯头延伸(n=1),手腕和手指向上伸展(抬起)(n=1),膝盖伸展(n=1),步行(n=4)。在研究慢性中风后成年人的人类运动的复杂性时,熵度量,特别是样本熵,是首选。运动学评估主要使用运动捕捉系统进行,专注于上肢的关节角度。
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