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通过统计参数映射 (Statistical Parametric Mapping) 通过离散变量和连续变量比较不同年龄组游泳者的游泳速度

Jorge E Morais^1,2, Tiago M Barbosa^1,2, Tiago Lopes³

¹Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal.

Sports biomechanics

|August 1, 2023

概括

统计参数映射 (SPM) 为年龄组游泳者提供了比离散变量更敏感的前游泳速度分析. SPM揭示了中风周期的显著差异,有助于教练在绩效评估.

科学领域:

运动科学运动科学运动科学
生物力学生物力学
人类运动分析人类运动分析

背景情况:

年龄组游泳者的前爬技术表现对于竞争成功至关重要.
了解与年龄相关的游泳速度差异对于有针对性的训练至关重要.
传统的游泳速度分析可能缺乏检测细微周期特定变化的灵敏度.

研究的目的:

为了比较离散变量的有效性与统计参数映射 (SPM) 在分析前爬行游泳速度.
使用两种分析方法,在年轻的男性游泳者中识别与年龄相关的游泳速度差异.
为了确定哪种方法可以提供更敏感和更准确的关于游泳冲击周期的见解.

主要方法:

30名年轻男子游泳者被分为三个年龄组 (13.6岁,15.4岁和16.4岁).
进行了最大的前部爬行游泳试验,选择了最好的表现进行分析.
使用离散变量和通过SPM作为连续变量分析了游泳速度.

主要成果:

当用离散变量分析时,平均游泳速度在年龄组之间显示出显著差异 (p <0.05).
SPM分析显示,大约44%和51%的中风周期 (p = 0.021) 之间游泳速度存在显著差异.
后期分析表明,仅通过SPM,最年轻和最年长的群体之间存在显著差异.

结论:

离散变量分析和SPM都可用于评估前部爬行中的游泳速度.
SPM提供了更敏感和更准确的检测在游泳中风周期内的变化.
教练和研究人员可以利用SPM来更深入地了解游泳者技巧和与年龄相关的性能细微差别.

关键词:

游泳游泳是一种游泳方式.生物力学生物力学业绩表现表现的表现表现是什么技术技术技术技术技术培训培训培训培训培训培训培训

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