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使用全球定位系统技术量化团队运动中高强度运动时的方法学考量

Methodological Considerations When Quantifying High-Intensity Efforts in Team Sport Using Global Positioning System Technology.

作者信息

Varley Matthew C, Jaspers Arne, Helsen Werner F, Malone James J

出版信息

Int J Sports Physiol Perform. 2017 Sep;12(8):1059-1068. doi: 10.1123/ijspp.2016-0534. Epub 2017 Jan 4.

Abstract

PURPOSE

Sprints and accelerations are popular performance indicators in applied sport. The methods used to define these efforts using athlete-tracking technology could affect the number of efforts reported. This study aimed to determine the influence of different techniques and settings for detecting high-intensity efforts using global positioning system (GPS) data.

METHODS

Velocity and acceleration data from a professional soccer match were recorded via 10-Hz GPS. Velocity data were filtered using either a median or an exponential filter. Acceleration data were derived from velocity data over a 0.2-s time interval (with and without an exponential filter applied) and a 0.3-second time interval. High-speed-running (≥4.17 m/s), sprint (≥7.00 m/s), and acceleration (≥2.78 m/s) efforts were then identified using minimum-effort durations (0.1-0.9 s) to assess differences in the total number of efforts reported.

RESULTS

Different velocity-filtering methods resulted in small to moderate differences (effect size [ES] 0.28-1.09) in the number of high-speed-running and sprint efforts detected when minimum duration was <0.5 s and small to very large differences (ES -5.69 to 0.26) in the number of accelerations when minimum duration was <0.7 s. There was an exponential decline in the number of all efforts as minimum duration increased, regardless of filtering method, with the largest declines in acceleration efforts.

CONCLUSIONS

Filtering techniques and minimum durations substantially affect the number of high-speed-running, sprint, and acceleration efforts detected with GPS. Changes to how high-intensity efforts are defined affect reported data. Therefore, consistency in data processing is advised.

摘要

目的

短跑和加速跑是应用体育中常用的表现指标。利用运动员追踪技术定义这些运动的方法可能会影响所报告的运动次数。本研究旨在确定使用全球定位系统(GPS)数据检测高强度运动的不同技术和设置的影响。

方法

通过10赫兹的GPS记录一场职业足球比赛的速度和加速度数据。速度数据使用中值滤波器或指数滤波器进行滤波。加速度数据是在0.2秒时间间隔(应用和不应用指数滤波器)和0.3秒时间间隔内从速度数据推导而来。然后使用最小运动持续时间(0.1 - 0.9秒)识别高速奔跑(≥4.17米/秒)、短跑(≥7.00米/秒)和加速跑(≥2.78米/秒)运动,以评估所报告的运动总数的差异。

结果

当最小持续时间<0.5秒时,不同的速度滤波方法导致检测到的高速奔跑和短跑运动次数存在小到中等差异(效应大小[ES] 0.28 - 1.09),当最小持续时间<0.7秒时,加速度运动次数存在小到非常大的差异(ES -5.69至0.26)。无论滤波方法如何,随着最小持续时间增加,所有运动的次数呈指数下降,加速度运动的下降幅度最大。

结论

滤波技术和最小持续时间会显著影响通过GPS检测到的高速奔跑、短跑和加速跑运动的次数。高强度运动定义方式的改变会影响所报告的数据。因此,建议在数据处理上保持一致。

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