Camomilla Valentina, Cereatti Andrea, Cutti Andrea Giovanni, Fantozzi Silvia, Stagni Rita, Vannozzi Giuseppe
Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza de Bosis 15, 00135, Rome, Italy.
Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Rome "Foro Italico", Piazza de Bosis 15, 00135, Rome, Italy.
Biomed Eng Online. 2017 Aug 18;16(1):106. doi: 10.1186/s12938-017-0396-x.
Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction forces, skin marker trajectories, etc.) through biomechanical modelling. In particular, the estimation of joint moments during motion is grounded on several modelling assumptions: (1) body segmental and joint kinematics is derived from the trajectories of markers and by modelling the human body as a kinematic chain; (2) joint resultant (net) loads are, usually, derived from force plate measurements through a model of segmental dynamics. Therefore, both measurement errors and modelling assumptions can affect the results, to an extent that also depends on the characteristics of the motor task analysed (i.e. gait speed). Errors affecting the trajectories of joint centres, the orientation of joint functional axes, the joint angular velocities, the accuracy of inertial parameters and force measurements (concurring to the definition of the dynamic model), can weigh differently in the estimation of clinically interpretable joint moments. Numerous studies addressed all these methodological aspects separately, but a critical analysis of how these aspects may affect the clinical interpretation of joint dynamics is still missing. This article aims at filling this gap through a systematic review of the literature, conducted on Web of Science, Scopus and PubMed. The final objective is hence to provide clear take-home messages to guide laboratories in the estimation of joint moments for the clinical practice.
定量步态分析可以描述关节的运动学和动力学,并且它被认为是一种用于功能评估、诊断和干预计划的临床有用工具。通过生物力学建模,从定量测量(即地面反作用力、皮肤标记轨迹等)中估计出具有临床可解释性的参数。特别是,运动过程中关节力矩的估计基于几个建模假设:(1)身体节段和关节运动学是从标记的轨迹中推导出来的,并将人体建模为一个运动链;(2)关节合力(净)负荷通常是通过节段动力学模型从测力台测量中推导出来的。因此,测量误差和建模假设都可能影响结果,其影响程度还取决于所分析的运动任务的特征(即步态速度)。影响关节中心轨迹、关节功能轴方向、关节角速度、惯性参数准确性和力测量(这些共同构成动力学模型的定义)的误差,在临床上可解释的关节力矩估计中可能具有不同程度的影响。许多研究分别探讨了所有这些方法学方面,但对于这些方面如何影响关节动力学的临床解释仍缺乏批判性分析。本文旨在通过对在Web of Science、Scopus和PubMed上进行的文献系统综述来填补这一空白。因此,最终目标是提供明确的实用信息,以指导实验室在临床实践中估计关节力矩。