The extensive use of wearable sensors in sport medicine, exercise medicine, and health has increased the interest in their study. That is why it is necessary to test these technologies’ efficiency, effectiveness, agreement, and reliability in different settings. Consequently, the purpose of this article was to analyze the magnetic, angular rate, and gravity (MARG) sensor’s test-retest agreement and reliability when assessing multiple body segments’ external loads during off-road running. A total of 18 off-road runners (38.78 ± 10.38 years, 73.24 ± 12.6 kg, 172.17 ± 9.48 cm) ran two laps (1st and 2nd Lap) of a 12 km circuit wearing six MARG sensors. The sensors were attached to six different body segments: left (MP_Left) and right (MP_Right) malleolus peroneus, left (VL_Left) and right (VL_Right) vastus lateralis, lumbar (L₁-L₃), and thorax (T₂-T₄) using a special neoprene suit. After a principal component analysis (PCA) was performed, the total data set variance of all body segments was represented by 44.08%–70.64% for the 1st PCA factor considering two variables, Player Load_RT and Impacts, on L₁-L₃, respectively. These two variables were chosen among three total accelerometry-based external load indicators (ABELIs) to perform the agreement and reliability tests due to their relevance based on PCAs for each body segment. There were no significant differences between laps in the Player Load_RT or Impacts (p > 0.05, trivial). The intraclass correlation and lineal correlation showed a substantial to almost perfect over-time test consistency assessed via reliability in both Player Load_RT and Impacts. Bias and t-test assessments showed good agreement between Laps. It can be concluded that MARGs sensors offer significant test re-test reliability and good agreement when assessing off-road kinematics in the six different body segments.

可穿戴式传感器在运动医学，运动医学和健康中的广泛使用增加了对其研究的兴趣。因此，有必要在不同的环境中测试这些技术的效率，有效性，一致性和可靠性。因此，本文的目的是在评估越野行驶过程中多个车身部分的外部负载时，分析磁，角速率和重力（MARG）传感器的重新测试协议和可靠性。总共18名越野跑者（38.78±10.38岁，73.24±12.6公斤，172.17±9.48厘米）在六个公里数的12公里赛道上跑了两圈（第一圈和第二圈），六个MARG传感器。传感器连接到六个不同的身体部位：腓骨的左（MP_左）和右（MP_右），左（VL_左））和右（VL _Right）股外侧，腰（L ₁ -L ₃）和胸部（T ₂ -T ₄），并使用特殊的氯丁橡胶套装。在执行了主成分分析（PCA）后，考虑到两个变量，即Player Load _RT和Impacts对L ₁ -L _3的影响，第一个PCA因子的所有数据段的总数据集方差由44.08％–70.64％表示，分别。由于这两个变量基于每个身体部位基于PCA的相关性，因此从三个基于总加速度计的外部负荷指示器（ABELI）中进行选择，以执行一致性和可靠性测试。球员负荷之间的各圈之间没有显着差异_RT或影响（p  > 0.05，无关紧要）。类内相关性和线性相关性显示了通过Player Load _RT和Impacts的可靠性评估的基本到几乎完美的超时测试一致性。偏差和t检验评估表明，膝部之间有很好的一致性。可以得出结论，在评估六个不同身体部位的越野运动学时，MARGs传感器具有显着的重新测试可靠性和良好的一致性。