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The Reliability and Validity of Current Technologies for Measuring Barbell Velocity in the Free-Weight Back Squat and Power Clean

机译:测量自由重量蹲下杠铃速度和功率清洁中杠铃速度的当前技术的可靠性和有效性

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摘要

This study investigated the inter-day and intra-device reliability, and criterion validity of six devices for measuring barbell velocity in the free-weight back squat and power clean. In total, 10 competitive weightlifters completed an initial one repetition maximum (1RM) assessment followed by three load-velocity profiles (40–100% 1RM) in both exercises on four separate occasions. Mean and peak velocity was measured simultaneously on each device and compared to 3D motion capture for all repetitions. Reliability was assessed via coefficient of variation (CV) and typical error (TE). Least products regression (LPR) (R ) and limits of agreement (LOA) assessed the validity of the devices. The Gymaware was the most reliable for both exercises (CV < 10%; TE < 0.11 m·s , except 100% 1RM (mean velocity) and 90‒100% 1RM (peak velocity)), with MyLift and PUSH following a similar trend. Poorer reliability was observed for Beast Sensor and Bar Sensei (CV = 5.1–119.9%; TE = 0.08–0.48 m·s ). The Gymaware was the most valid device, with small systematic bias and no proportional or fixed bias evident across both exercises (R > 0.42–0.99 LOA = −0.03–0.03 m·s ). Comparable validity data was observed for MyLift in the back squat. Both PUSH devices produced some fixed and proportional bias, with Beast Sensor and Bar Sensei being the least valid devices across both exercises (R > 0.00–0.96, LOA = −0.36–0.46 m·s ). Linear position transducers and smartphone applications could be used to obtain velocity-based data, with inertial measurement units demonstrating poorer reliability and validity.
机译:本研究调查了日常间和内部设备的可靠性,以及六种装置的标准有效性,用于测量自由重重蹲和电源清洁中的杠铃速度。总共10个竞争力速度速度完成了初始的一个重复最大(1RM)评估,然后在四个单独的场合进行三个载荷 - 速度曲线(40-100%1RM)。在每个设备上同时测量平均值和峰值速度,并与所有重复相比3D运动捕获相比。通过变异系数(CV)和典型误差(TE)评估可靠性。最少产品回归(LPR)(R)和协议限制(LOA)评估了设备的有效性。锻炼体操是最可靠的(CV <10%; TE <0.11 M·S除外,除了100%1rm(平均速度)和90-100%的1RM(峰值速度)),迈出米特和推动遵循类似的趋势。野兽传感器和Bar Sensei观察到较差的可靠性(CV = 5.1-119.9%; TE = 0.08-0.48 m·s)。 Gyeaware是最有效的设备,系统偏差小,并且横跨练习中没有比例或固定偏见(R> 0.42-0.99 LOA = -0.03-0.03 m·s)。在后蹲的迈尔特观察到可比有效性数据。两个推送装置都产生了一些固定和比例的偏置,具有野兽传感器和Bar Sensei,横跨练习的最低有效设备(R> 0.00-0.96,LOA = -0.36-0.46 m·s)。线性位置传感器和智能手机应用可用于获得基于速度的数据,惯性测量单元展示较差的可靠性和有效性。

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