van den Tillaar Roland, Nygaard Falch Hallvard, Larsen Stian
Department of Sport Sciences and Physical Education, Nord University, 7600 Levanger, Norway.
Sensors (Basel). 2024 Nov 21;24(23):7422. doi: 10.3390/s24237422.
The aim of this study was to compare barbell velocities at different intensities and estimated 1-RM with actual 1-RM measured with different measuring tools in bench presses and squats. Fourteen resistance-trained athletes (eight men, six women, age 28.1 ± 7.5 years, body mass 78.1 ± 12.2 kg, body height 1.73 ± 0.09 m) performed bench presses and squats at five loads varying from 45 to 85% of one repetition maximum (1-RM), together with 1-RM testing, while measuring mean, mean propulsive, and peak barbell velocity with six different commercially used inertial measurement units (IMUs) and linear encoder software systems attached to the barbell. The 1-RM was also estimated based upon the load-velocity regression, which was compared with the actual 1-RM in the bench press and squat exercises. The main findings were that GymAware revealed the highest reliability along with minimal bias, while Musclelab and Vmaxpro showed moderate reliability with some variability at higher loads. Speed4lifts and PUSH band indicated greater variability, specifically at higher intensities. Furthermore, in relation to the second aim of the study, significant discrepancies were found between actual and estimated 1-RM values, with Speed4lifts and Musclelab notably underestimating 1-RM. These findings underscore the importance of selecting reliable tools for accurate velocity-based training and load prescription.
本研究的目的是比较不同强度下的杠铃速度,并将使用不同测量工具估算的1-RM与卧推和深蹲中实际测量的1-RM进行比较。14名有阻力训练经验的运动员(8名男性,6名女性,年龄28.1±7.5岁,体重78.1±12.2 kg,身高1.73±0.09 m)进行了卧推和深蹲,负荷从一次重复最大值(1-RM)的45%到85%不等,同时进行1-RM测试,使用六种不同的商用惯性测量单元(IMU)和附着在杠铃上的线性编码器软件系统测量平均、平均推进和峰值杠铃速度。还基于负荷-速度回归估算了1-RM,并将其与卧推和深蹲练习中的实际1-RM进行比较。主要发现是,GymAware显示出最高的可靠性以及最小的偏差,而Musclelab和Vmaxpro显示出中等可靠性,在较高负荷下存在一些变异性。Speed4lifts和PUSH带显示出更大的变异性,特别是在较高强度下。此外,关于该研究的第二个目的,实际和估算的1-RM值之间存在显著差异,Speed4lifts和Musclelab明显低估了1-RM。这些发现强调了选择可靠工具进行基于速度的准确训练和负荷处方的重要性。