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Performance estimation of kayak paddlers based on fluctuation analysis of movement signals

机译:基于运动信号波动分析的皮划艇桨性能评估

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Modern coaching of professional kayak paddlers is supported by on-water measurement devices and scientific analysis techniques. However, it is very difficult to determine perfect paddling technique and the interpretation of the measured signals is rather complex. Therefore it is quite challenging to provide easily usable but still accurate indicators of paddlers' performance. In this paper, we show that fluctuation analysis of movement signals provides that can be used to classify the performance of athletes. The standard deviation and Poincaré plots of classical parameters turned out to be useful new indicators of paddling skills, furthermore the signal to noise ratio calculated from power density spectrum of raw movement signals shows relationship with the quality of paddling technique, too. The detailed analysis have been made for paddlings of 26 athletes with different ages and technical skills, which measured by a universal measurement system developed for this task.
机译:水上测量设备和科学分析技术为专业皮划艇桨手的现代教练提供了支持。然而,确定完美的划桨技术非常困难,并且对测量信号的解释相当复杂。因此,提供易于使用但仍然准确的桨手性能指标是相当具有挑战性的。在本文中,我们表明运动信号的波动分析提供了可用于对运动员表现进行分类的功能。事实证明,经典参数的标准偏差图和庞加莱图是有用的划桨技术新指标,此外,根据原始运动信号的功率密度谱计算出的信噪比也与划桨技术的质量有关。已对26名具有不同年龄和技术技能的运动员的划桨进行了详细分析,并通过为此目的开发的通用测量系统对其进行了测量。

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