van der Kruk E, van der Helm F C T, Veeger H E J, Schwab A L
Department of Biomechanical Engineering, Delft University of Technology, Mekelweg 2, Delft, The Netherlands.
Department of Biomechanical Engineering, Delft University of Technology, Mekelweg 2, Delft, The Netherlands.
J Biomech. 2018 Oct 5;79:1-14. doi: 10.1016/j.jbiomech.2018.08.031. Epub 2018 Aug 29.
The quantification of mechanical power can provide valuable insight into athlete performance because it is the mechanical principle of the rate at which the athlete does work or transfers energy to complete a movement task. Estimates of power are usually limited by the capabilities of measurement systems, resulting in the use of simplified power models. This review provides a systematic overview of the studies on mechanical power in sports, discussing the application and estimation of mechanical power, the consequences of simplifications, and the terminology. The mechanical power balance consists of five parts, where joint power is equal to the sum of kinetic power, gravitational power, environmental power, and frictional power. Structuring literature based on these power components shows that simplifications in models are done on four levels, single vs multibody models, instantaneous power (IN) versus change in energy (EN), the dimensions of a model (1D, 2D, 3D), and neglecting parts of the mechanical power balance. Quantifying the consequences of simplification of power models has only been done for running, and shows differences ranging from 10% up to 250% compared to joint power models. Furthermore, inconsistency and imprecision were found in the determination of joint power, resulting from inverse dynamics methods, incorporation of translational joint powers, partitioning in negative and positive work, and power flow between segments. Most inconsistency in terminology was found in the definition and application of 'external' and 'internal' work and power. Sport research would benefit from structuring the research on mechanical power in sports and quantifying the result of simplifications in mechanical power estimations.
机械功率的量化能够为运动员的表现提供有价值的见解,因为它是运动员做功或传递能量以完成运动任务的速率这一力学原理。功率的估计通常受测量系统能力的限制,导致使用简化的功率模型。本综述对体育领域中机械功率的研究进行了系统概述,讨论了机械功率的应用与估计、简化的后果以及术语。机械功率平衡由五个部分组成,其中关节功率等于动能功率、重力功率、环境功率和摩擦功率之和。基于这些功率分量对文献进行梳理表明,模型简化在四个层面进行,即单刚体模型与多刚体模型、瞬时功率(IN)与能量变化(EN)、模型维度(一维、二维、三维)以及忽略机械功率平衡的部分。仅对跑步运动进行了功率模型简化后果的量化,结果显示与关节功率模型相比,差异范围在10%至250%之间。此外,在关节功率的确定中发现了不一致性和不精确性,这是由逆动力学方法、平移关节功率的纳入、正负功的划分以及节段间的功率流导致的。在术语方面,“外部”和“内部”功与功率的定义和应用存在最大的不一致性。体育研究将受益于对体育领域机械功率研究进行结构化,并对机械功率估计中的简化结果进行量化。