Holt Ana C, Hopkins William G, Aughey Robert J, Siegel Rodney, Rouillard Vincent, Ball Kevin
Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia.
Sport Science Department, Victorian Institute of Sport, Melbourne, VIC, Australia.
Front Physiol. 2021 Nov 12;12:758015. doi: 10.3389/fphys.2021.758015. eCollection 2021.
Instrumentation systems are increasingly used in rowing to measure training intensity and performance but have not been validated for measures of power. In this study, the concurrent validity of Peach PowerLine (six units), Nielsen-Kellerman EmPower (five units), Weba OarPowerMeter (three units), Concept2 model D ergometer (one unit), and a custom-built reference instrumentation system (Reference System; one unit) were investigated. Eight female and seven male rowers [age, 21 ± 2.5 years; rowing experience, 7.1 ± 2.6 years, mean ± standard deviation (SD)] performed a 30-s maximal test and a 7 × 4-min incremental test once per week for 5 weeks. Power per stroke was extracted concurrently from the Reference System ( chain force and velocity), the Concept2 itself, Weba (oar shaft-based), and either Peach or EmPower (oarlock-based). Differences from the Reference System in the mean (representing potential error) and the stroke-to-stroke variability (represented by its SD) of power per stroke for each stage and device, and between-unit differences, were estimated using general linear mixed modeling and interpreted using rejection of non-substantial and substantial hypotheses. Potential error in mean power was decisively substantial for all devices (Concept2, -11 to -15%; Peach, -7.9 to -17%; EmPower, -32 to -48%; and Weba, -7.9 to -16%). Between-unit differences (as SD) in mean power lacked statistical precision but were substantial and consistent across stages (Peach, ∼5%; EmPower, ∼7%; and Weba, ∼2%). Most differences from the Reference System in stroke-to-stroke variability of power were possibly or likely trivial or small for Peach (-3.0 to -16%), and likely or decisively substantial for EmPower (9.7-57%), and mostly decisively substantial for Weba (61-139%) and the Concept2 (-28 to 177%). Potential negative error in mean power was evident for all devices and units, particularly EmPower. Stroke-to-stroke variation in power showed a lack of measurement sensitivity (apparent smoothing) that was minor for Peach but larger for the Concept2, whereas EmPower and Weba added random error. Peach is therefore recommended for measurement of mean and stroke power.
在赛艇运动中,仪器系统越来越多地用于测量训练强度和表现,但尚未针对功率测量进行验证。在本研究中,对Peach PowerLine(6台)、Nielsen-Kellerman EmPower(5台)、Weba OarPowerMeter(3台)、Concept2 D型测力计(1台)以及一个定制的参考仪器系统(参考系统;1台)的同时效度进行了研究。8名女性和7名男性赛艇运动员[年龄,21±2.5岁;赛艇经验,7.1±2.6年,平均值±标准差(SD)]每周进行一次30秒最大测试和7次×4分钟递增测试,共进行5周。每次划桨的功率同时从参考系统(链条力和速度)、Concept2本身、Weba(基于桨轴)以及Peach或EmPower(基于桨栓)中提取。使用一般线性混合模型估计每个阶段和设备的每次划桨功率与参考系统相比在平均值(代表潜在误差)和逐次划桨变异性(由其标准差表示)方面的差异,以及单元间差异,并通过拒绝非实质性和实质性假设来进行解释。所有设备(Concept2,-11%至-15%;Peach,-7.9%至-17%;EmPower,-32%至-48%;Weba,-7.9%至-16%)在平均功率方面的潜在误差具有决定性的实质性。单元间在平均功率方面的差异(以标准差表示)缺乏统计精度,但在各阶段中是实质性且一致的(Peach,约5%;EmPower,约7%;Weba,约2%)。对于Peach,与参考系统相比,大多数在逐次划桨功率变异性方面的差异可能或很可能微不足道或较小(-3.0%至-16%),对于EmPower可能或决定性地很大(9.7% - 57%),对于Weba大多决定性地很大(61% - 139%),对于Concept2(-28%至177%)也是如此。所有设备和单元在平均功率方面都明显存在潜在的负误差,尤其是EmPower。功率的逐次划桨变化显示出测量灵敏度不足(明显的平滑),对于Peach较小,但对于Concept2较大,而EmPower和Weba则增加了随机误差。因此,建议使用Peach来测量平均功率和划桨功率。