随机测量和预测错误限制了两种速度传感器的实际相关性,以估计1RM背的实际相关性
Konstantin Warneke1, Josua Skratek2, Carl-Maximilian Wagner3
1Institute of Human Movement Science, Sport and Health, University of Graz, Graz, Austria.
Frontiers in physiology
|September 25, 2024
概括
使用速度配置文件估计强度显示了显著的随机错误和设备之间的不一致. 建议在使用这些方法进行强度预测时谨慎使用,因为需要进一步研究以提高准确性.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 强度和适应条件 强度和适应条件
背景情况:
- 传统的一次重复最大 (1RM) 测试的动力强度有局限性,包括受伤风险和实际适用性.
- 基于速度的强度预测正在引起人们的注意,作为1RM测试的替代方案.
- 以前基于速度的强度预测建议可能忽视了系统和随机测量偏差.
研究的目的:
- 为了调查基于速度的强度测试的随机测量误差 (可重复性).
- 在一次重复过程中评估两个常见的速度传感器 (vMaxPro和TENDO) 之间的一致性.
- 分析精英年轻男性足球运动员估计和测量1RM之间的协议.
主要方法:
- 速度测量的可重复性被评估使用类内相关系数 (ICC) 和平均绝对误差 (MAE/MAPE).
- 在使用最小速度值和速度=0 m/s方法的单次重复中,分析了vMaxPro和TENDO传感器之间的一致性.
- 来自速度配置文件的1RM估计与25名年轻精英男性足球运动员测量的1RM进行了比较.
主要成果:
- 速度测量的可重复性显示了0.66-0.80的ICC值,MAE/MAPE高达0.04-0.22 m/s (≤7.5%).
- 传感器之间的协议显示了vMaxPro与TENDO相比系统地低估了速度 (ICC 0.28-0.88,MAE/MAPE ≤0.13 m/s或11%).
- 测量1RM的强度估计经常过高/低估,随着速度值而有很大随机散射 (4.12%至71.6%).
结论:
- 基于速度的强度预测方法需要谨慎应用,因为有显著的测量错误和设备间的不一致.
- 在1RM估计中观察到的随机分散凸显了进一步方法开发的必要性.
- 未来的研究应该专注于尽量减少随机错误,以提高基于速度的强度评估的可靠性和有效性.
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