Azadjou Hesam, Błażkiewicz Michalina, Erwin Andrew, Valero-Cuevas Francisco J
Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
AWF · Department of Physiotherapy, Józef Piłsudski University of Physical Education in Warsaw, 00-968 Warsaw, Poland.
Entropy (Basel). 2023 Oct 4;25(10):1414. doi: 10.3390/e25101414.
Quantifying the dynamical features of discrete tasks is essential to understanding athletic performance for many sports that are not repetitive or cyclical. We compared three dynamical features of the (i) bow hand, (ii) drawing hand, and (iii) center of mass during a single bow-draw movement between professional and neophyte archers: dispersion (convex hull volume of their phase portraits), persistence (tendency to continue a trend as per Hurst exponents), and regularity (sample entropy). Although differences in the two groups are expected due to their differences in skill, our results demonstrate we can these differences. The center of mass of professional athletes exhibits tighter movements compared to neophyte archers (6.3 < 11.2 convex hull volume), which are nevertheless less persistent (0.82 < 0.86 Hurst exponent) and less regular (0.035 > 0.025 sample entropy). In particular, the movements of the bow hand and center of mass differed more between groups in Hurst exponent analysis, and the drawing hand and center of mass were more different in sample entropy analysis. This suggests tighter neuromuscular control over the more fluid dynamics of the movement that exhibits more active corrections that are more individualized. Our work, therefore, provides proof of principle of how well-established dynamical analysis techniques can be used to quantify the nature and features of neuromuscular expertise for discrete movements in elite athletes.
量化离散任务的动态特征对于理解许多非重复性或周期性运动项目的运动表现至关重要。我们比较了职业射手和新手射手在单次拉弓动作过程中(i)持弓手、(ii)拉弓手和(iii)重心的三种动态特征:离散度(其相图的凸包体积)、持续性(根据赫斯特指数延续趋势的倾向)和规律性(样本熵)。尽管由于两组技能不同预计会存在差异,但我们的结果表明我们能够区分这些差异。与新手射手相比,职业运动员的重心运动更紧凑(凸包体积6.3 < 11.2),然而持续性更低(赫斯特指数0.82 < 0.86)且规律性更低(样本熵0.035 > 0.025)。特别是,在赫斯特指数分析中,持弓手和重心的运动在两组之间差异更大,在样本熵分析中,拉弓手和重心的差异更大。这表明对运动中更流畅动态的神经肌肉控制更紧密,表现出更积极、更个性化的校正。因此,我们的工作提供了原理证明,即成熟的动态分析技术可用于量化精英运动员离散动作的神经肌肉专业技能的性质和特征。