AI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.
Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel). 2023 Feb 22;23(5):2435. doi: 10.3390/s23052435.
Recent advances in training monitoring are centered on the statistical indicators of the concentric phase of the movement. However, those studies lack consideration of the integrity of the movement. Moreover, training performance evaluation needs valid data on the movement. Thus, this study presents a full-waveform resistance training monitoring system (FRTMS) as a whole-movement-process monitoring solution to acquire and analyze the full-waveform data of resistance training. The FRTMS includes a portable data acquisition device and a data processing and visualization software platform. The data acquisition device monitors the barbell's movement data. The software platform guides users through the acquisition of training parameters and provides feedback on the training result variables. To validate the FRTMS, we compared the simultaneous measurements of 30-90% 1RM of Smith squat lifts performed by 21 subjects with the FRTMS to similar measurements obtained with a previously validated three-dimensional motion capture system. Results showed that the FRTMS produced practically identical velocity outcomes, with a high Pearson's correlation coefficient, intraclass correlation coefficient, and coefficient of multiple correlations and a low root mean square error. We also studied the applications of the FRTMS in practical training by comparing the training results of a six-week experimental intervention with velocity-based training (VBT) and percentage-based training (PBT). The current findings suggest that the proposed monitoring system can provide reliable data for refining future training monitoring and analysis.
最近在训练监控方面的进展集中在运动同心阶段的统计指标上。然而，这些研究缺乏对运动完整性的考虑。此外，训练绩效评估需要运动的有效数据。因此，本研究提出了一种全波电阻训练监控系统（FRTMS），作为一种整体运动过程监控解决方案，以获取和分析电阻训练的全波数据。FRTMS 包括一个便携式数据采集设备和一个数据处理和可视化软件平台。数据采集设备监控杠铃的运动数据。软件平台指导用户获取训练参数，并提供有关训练结果变量的反馈。为了验证 FRTMS，我们将 21 名受试者同时进行的 30-90%1RM 的史密斯深蹲举重的 FRTMS 测量值与之前经过验证的三维运动捕捉系统的类似测量值进行了比较。结果表明，FRTMS 产生了几乎相同的速度结果，具有高 Pearson 相关系数、组内相关系数和多重相关系数，以及低均方根误差。我们还通过比较基于速度的训练（VBT）和基于百分比的训练（PBT）的六周实验干预的训练结果，研究了 FRTMS 在实际训练中的应用。目前的研究结果表明，所提出的监测系统可以为未来的训练监测和分析提供可靠的数据。
