Dynamical Analyses Show That Professional Archers Exhibit Tighter, Finer and More Fluid Dynamical Control Than Neophytes.
Dynamical Analyses Show That Professional Archers Exhibit Tighter, Finer and More Fluid Dynamical Control Than Neophytes.
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DOI：
10.3390/e25101414
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发表时间：
2023-10-04
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影响因子：
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量化离散任务的动态特征对于理解许多不重复或周期性的运动的运动表现至关重要。我们比较了专业和新手弓箭手在单次拉弓运动中的三个动力学特征：（i）弓手，（ii）拉弓手，（iii）质心：分散（他们的相图的凸船体体积），持久性（根据赫斯特指数继续趋势的趋势）和规律性（样本熵）。虽然两组的差异是由于他们的技能差异，我们的研究结果表明，我们可以量化这些差异。职业运动员的质心表现出较紧的运动相比，新手弓箭手（6.3 < 11.2凸船体体积），但持续性较低（0.82 < 0.86赫斯特指数）和较不规则（0.035 > 0.025样本熵）。特别是在Hurst指数分析中，弓手和质心的运动在组间差异更大，在样本熵分析中，拉弓手和质心的运动在组间差异更大。这表明神经肌肉控制更紧密，运动的流体动力学表现出更积极的纠正，更个性化。因此，我们的工作，提供了证据的原则，如何完善的动态分析技术可以用来量化的本质和功能的神经肌肉专业知识的离散运动在精英运动员。
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 quantify 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.
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DOI：
10.3390/e23020221
发表时间：
2021-02-11
期刊：
Entropy (Basel, Switzerland)
影响因子：
--
作者：
Matilla-García M;Morales I;Rodríguez JM;Ruiz Marín M
通讯作者：
Ruiz Marín M
影响因子：
3.4
作者：
Callaway, Andrew J.;Wiedlack, Johanna;Heller, Mario
通讯作者：
Heller, Mario
影响因子：
2.6
作者：
LIEBERT, W;SCHUSTER, HG
通讯作者：
SCHUSTER, HG
影响因子：
3.7
作者：
Peppoloni L;Lawrence EL;Ruffaldi E;Valero-Cuevas FJ
通讯作者：
Valero-Cuevas FJ
基于相空间重建、欧氏距离和神经网络的前交叉韧带缺陷和完整膝关节步态模式的建模和分类
影响因子：
3.9
作者：
Wu W;Zeng W;Ma L;Yuan C;Zhang Y
通讯作者：
Zhang Y