Institute of Biomedical Engineering, TU Dresden, 01307 Dresden, Germany.
Sensors (Basel). 2023 Jan 17;23(3):1060. doi: 10.3390/s23031060.
The rowing technique is a key factor in the overall rowing performance. Nowadays the athletes' performance is so advanced that even small differences in technique can have an impact on sport competitions. To further improve the athletes' performance, individualized rowing is necessary. This can be achieved by intelligent measurement technology that provides direct feedback. To address this issue, we developed a novel wireless rowing measurement system (WiRMS) that acquires rowing movement and measures muscle activity using electromyography (EMG). Our measurement system is able to measure several parameters simultaneously: the rowing forces, the pressure distribution on the scull, the oar angles, the seat displacement and the boat acceleration. WiRMS was evaluated in a proof-of-concept study with seven experienced athletes performing a training on water. Evaluation results showed that WiRMS is able to assess the rower's performance by recording the rower's movement and force applied to the scull. We found significant correlations ( < 0.001) between stroke rate and drive-to-recovery ratio. By incorporating EMG data, a precise temporal assignment of the activated muscles and their contribution to the rowing motion was possible. Furthermore, we were able to show that the rower applies the force to the scull mainly with the index and middle fingers.
划桨技术是划船整体表现的关键因素。如今，运动员的表现非常出色，即使是技术上的微小差异也会对运动比赛产生影响。为了进一步提高运动员的表现，需要进行个性化的划船训练。这可以通过提供直接反馈的智能测量技术来实现。针对这一问题，我们开发了一种新型的无线划船测量系统（WiRMS），该系统使用肌电图（EMG）获取划桨动作和测量肌肉活动。我们的测量系统能够同时测量多个参数：划桨力、桨叶上的压力分布、桨叶角度、座椅位移和船体加速度。WiRMS 在一项概念验证研究中得到了评估，七名经验丰富的运动员在水上进行了训练。评估结果表明，WiRMS 能够通过记录运动员的动作和施加在桨叶上的力来评估运动员的表现。我们发现划桨频率与划桨到恢复的比率之间存在显著相关性（<0.001）。通过结合肌电图数据，可以精确地分配激活肌肉的时间，并了解它们对划桨动作的贡献。此外，我们还能够表明，运动员主要用食指和中指将力施加到桨叶上。
