期刊
ENTROPY
卷 25, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/e25101414
关键词
archery; athletics; human movement; dynamic systems theory; phase space reconstruction; Hurst exponent analysis; sample entropy
This study demonstrates the use of dynamical analysis techniques to quantify the nature and features of neuromuscular expertise for discrete movements in elite athletes. The results show differences in dispersion, persistence, and regularity between professional and neophyte archers, indicating tighter neuromuscular control and more active corrections in professionals.
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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