Colino Enrique, Garcia-Unanue Jorge, Sanchez-Sanchez Javier, Calvo-Monera Javier, Leon Manuel, Carvalho María Jose, Gallardo Leonor, Felipe Jose Luis, Navandar Archit
IGOID Research Group, University of Castilla-La Mancha, Toledo, Spain.
Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain.
Front Psychol. 2019 Sep 10;10:2076. doi: 10.3389/fpsyg.2019.02076. eCollection 2019.
The aim of this study was to evaluate the validity and reliability of a commercially available local position measurement (LPM) tracking system when assessing distance and running time at different speeds. Fifteen male healthy athletes performed 15 m displacements at walking, running and sprinting speed. Data recorded by the LPM system were compared to those from the reference equipment, consisting of measuring tape and electronic timing gates placed at 0, 5, 10, and 15 m. Mean error, mean absolute error (MAE), standard deviation (SD) of the measurement error, maximum measurement error and root mean square error (RMSE) were calculated to determine the validity for distance and the running time variables. Product-moment correlation and intraclass correlation coefficient (ICC) were also used for the running time. Finally, the reliability of the distance was carried out comparing data from the three repetitions with the standard tape measure using a linear mixed model and the typical error as mean coefficient of variation (CV) (%). MAE shows errors under 0.18 m for the distance variable at all speeds and under 0.08 s for the running time variable at all speeds, except from 15 m at walking. Product-moment correlations were high to nearly perfect for running time (range: 0.60-0.99), ICC varied between high (0.75-0.90) and extremely high (>0.99) for most measures, and coefficients of variation remained almost invariable as speed increased (walking: 2.16; running: 2.52; sprinting: 2.20). The tested LPM system represents a valid and reliable method for monitoring distance during different constant speeds over a straight line, as long as there is no signal loss. However, the running time errors could be too large for performance tests that require acute precision.
本研究的目的是评估一种市售的局部位置测量（LPM）跟踪系统在评估不同速度下的距离和跑步时间时的有效性和可靠性。15名男性健康运动员以步行、跑步和冲刺速度进行了15米的位移。将LPM系统记录的数据与参考设备的数据进行比较，参考设备包括测量带和放置在0米、5米、10米和15米处的电子计时门。计算平均误差、平均绝对误差（MAE）、测量误差的标准差（SD）、最大测量误差和均方根误差（RMSE），以确定距离和跑步时间变量的有效性。乘积矩相关性和组内相关系数（ICC）也用于跑步时间。最后，使用线性混合模型并将典型误差作为平均变异系数（CV）（%），将三次重复的数据与标准卷尺进行比较，以评估距离的可靠性。MAE显示，在所有速度下，距离变量的误差均在0.18米以下，跑步时间变量的误差在所有速度下均在0.08秒以下，但步行15米时除外。跑步时间的乘积矩相关性高至几乎完美（范围：0.60 - 0.99），大多数测量的ICC在高（0.75 - 0.90）和极高（>0.99）之间变化，并且随着速度增加，变异系数几乎保持不变（步行：2.16；跑步：2.52；冲刺：2.20）。只要没有信号丢失，经过测试的LPM系统是一种在直线上不同恒定速度下监测距离的有效且可靠的方法。然而，对于需要精确精度的性能测试，跑步时间误差可能太大。
