Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, East Road, Cambridge, UK.
Hum Mov Sci. 2020 Feb;69:102562. doi: 10.1016/j.humov.2019.102562. Epub 2019 Dec 26.
The aim of this review is to evaluate and summarize existing literature using non-linear analysis methodology to consider variability of human movement due to lower limb injury or dysfunction.
Scoping review.
An electronic keyword search was performed on three databases to identify appropriate research. This research was then examined for details of measures and methodology, use of control groups and general study characteristics to identify related themes.
Fifteen papers were reviewed and synthesized. A range of conditions were studied, mainly affecting knee and ankle joints, and each using different non-linear methods and different equipment (motion capture, accelerometry, and muscle activation) to evaluate the mathematically chaotic nature of the movement and assess the variability in gait. Sample sizes and effect sizes are commonly small in these studies.
Non-linear analysis is a potentially useful tool in both diagnosis and evaluation of injury, and this should inform future clinical processes when dealing with injury and movement variability. Despite numerous studies evaluating neurological conditions and ageing, focus on injury is limited, with notable gaps in terms of considering other joints and joint actions, so this should be a promising area of research to develop our understanding of injury and rehabilitation and how this affects gait variability.
本综述旨在使用非线性分析方法评估和总结现有文献，以考虑下肢损伤或功能障碍导致的人体运动变化。
范围综述。
在三个数据库中进行电子关键词搜索，以确定合适的研究。然后，检查这些研究的详细措施和方法、对照组的使用情况以及一般研究特征，以确定相关主题。
综述并综合了 15 篇论文。研究了多种情况，主要影响膝关节和踝关节，每种情况都使用不同的非线性方法和不同的设备（运动捕捉、加速度计和肌肉激活）来评估运动的数学混沌性质，并评估步态的可变性。这些研究中的样本量和效应量通常较小。
非线性分析在损伤的诊断和评估中是一种潜在有用的工具，这将为未来处理损伤和运动变化时的临床过程提供信息。尽管有许多研究评估了神经状况和衰老，但对损伤的关注有限，在考虑其他关节和关节动作方面存在明显差距，因此这应该是一个有前途的研究领域，以加深我们对损伤和康复的理解，以及这如何影响步态变化。
