Alexander Jeremy P, Hopkinson Trent L, Wundersitz Daniel W T, Serpell Benjamin G, Mara Jocelyn K, Ball Nick B
1Brumbies Rugby, University of Canberra, Bruce, Australia; 2Centre for Exercise and Sport Science, Deakin University, Burwood, Australia; 3La Trobe Rural Health School, College of Science, Health and Engineering, La Trobe University, Flora Hill Campus, Bendigo, Victoria, Australia; and 4Research Institute for Sport and Exercise, University of Canberra, Bruce, Australia.
J Strength Cond Res. 2016 Nov;30(11):3007-3013. doi: 10.1519/JSC.0000000000001396.
Alexander, JP, Hopkinson, TL, Wundersitz, DWT, Serpell, BG, Mara, JK, and Ball, NB. Validity of a wearable accelerometer device to measure average acceleration values during high-speed running. J Strength Cond Res 30(11): 3007-3013, 2016-The aim of this study was to determine the validity of an accelerometer to measure average acceleration values during high-speed running. Thirteen subjects performed three sprint efforts over a 40-m distance (n = 39). Acceleration was measured using a 100-Hz triaxial accelerometer integrated within a wearable tracking device (SPI-HPU; GPSports). To provide a concurrent measure of acceleration, timing gates were positioned at 10-m intervals (0-40 m). Accelerometer data collected during 0-10 m and 10-20 m provided a measure of average acceleration values. Accelerometer data was recorded as the raw output and filtered by applying a 3-point moving average and a 10-point moving average. The accelerometer could not measure average acceleration values during high-speed running. The accelerometer significantly overestimated average acceleration values during both 0-10 m and 10-20 m, regardless of the data filtering technique (p < 0.001). Body mass significantly affected all accelerometer variables (p < 0.10, partial η = 0.091-0.219). Body mass and the absence of a gravity compensation formula affect the accuracy and practicality of accelerometers. Until GPSports-integrated accelerometers incorporate a gravity compensation formula, the usefulness of any accelerometer-derived algorithms is questionable.
亚历山大、JP、霍普金森、TL、温德西茨、DWT、塞尔佩尔、BG、马拉、JK和鲍尔、NB。一种可穿戴加速度计设备在高速跑步过程中测量平均加速度值的有效性。《力量与体能研究杂志》30(11): 3007 - 3013，2016年——本研究的目的是确定一种加速度计在高速跑步过程中测量平均加速度值的有效性。13名受试者在40米距离内进行了三次冲刺（n = 39）。使用集成在可穿戴追踪设备（SPI - HPU；GPSports）中的100赫兹三轴加速度计测量加速度。为了同时测量加速度，计时门每隔10米放置一个（0 - 40米）。在0 - 10米和10 - 20米期间收集的加速度计数据提供了平均加速度值的测量。加速度计数据记录为原始输出，并通过应用三点移动平均和十点移动平均进行滤波。加速度计无法在高速跑步过程中测量平均加速度值。无论采用何种数据滤波技术，加速度计在0 - 10米和10 - 20米期间均显著高估了平均加速度值（p < 0.001）。体重显著影响所有加速度计变量（p < 0.10，偏η = 0.091 - 0.219）。体重和缺乏重力补偿公式会影响加速度计的准确性和实用性。在GPSports集成加速度计纳入重力补偿公式之前，任何基于加速度计的算法的实用性都值得怀疑。
