Stamm TY -的盟,奥斯卡·盟——Heimann-Steinert对PY - 2020 DA - 2020/12/21 TI -单眼二维姿态估计精度与运动多视图的引用标准分析:验证研究乔——JMIR Mhealth Uhealth SP - e19608六世- 8 - 12 KW - 2 d人体姿态估计千瓦运动捕捉KW -运动学KW -临床实践KW -流动KW -智能手机应用KW -分析AB -背景:昂贵的光电系统被认为是金标准，需要实验室环境和标记物的附着，因此很少在日常临床实践中使用。用于临床目的的二维(2D)人体姿势估计允许通过基于摄像头的智能手机应用程序进行运动学分析。由于临床专家高度依赖信息的有效性，因此有必要评估二维姿势估计应用程序的准确性。目的:以PanopticStudio Toolbox数据集为参考标准，研究移动分析应用程序(Lindera-v2)二维姿态估计的准确性。本研究旨在评估使用Lindera-v2算法生成的2D视频信息与参考标准所获得的关节角度的差异。结果可以为临床应用程序的充分性提供重要的评估。方法:为评价Lindera-v2算法的准确性，对10个视频序列进行分析。通过对每个关节(共10个关节)共30,000对数据进行评估，并将Lindera-v2算法获得的角度数据与参考标准的角度数据进行比较，以评估准确性。计算各关节角度的均值差，并将估计值与参考标准值进行比较。计算了二维角度的平均绝对误差(MAE)、均方根误差和对称平均绝对百分比误差。 Agreement between the 2 measurement methods was calculated using the intraclass correlation coefficient (ICC[A,2]). A cross-correlation was calculated for the time series to verify whether there was a temporal shift in the data. Results: The mean difference of the Lindera-v2 data in the right hip was the closest to the reference standard, with a mean value difference of –0.05° (SD 6.06°). The greatest difference in comparison with the baseline was found in the neck, with a measurement of –3.07° (SD 6.43°). The MAE of the angle measurement closest to the baseline was observed in the pelvis (1.40°, SD 1.48°). In contrast, the largest MAE was observed in the right shoulder (6.48°, SD 8.43°). The medians of all acquired joints ranged in difference from 0.19° to 3.17° compared with the reference standard. The ICC values ranged from 0.951 (95% CI 0.914-0.969) in the neck to 0.997 (95% CI 0.997-0.997) in the left elbow joint. The cross-correlation showed that the Lindera-v2 algorithm had no temporal lag. Conclusions: The results of the study indicate that a 2D pose estimation by means of a smartphone app can have excellent agreement compared with a validated reference standard. An assessment of kinematic variables can be performed with the analyzed algorithm, showing only minimal deviations compared with data from a massive multiview system. SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2020/12/e19608/ UR - https://doi.org/10.2196/19608 UR - http://www.ncbi.nlm.nih.gov/pubmed/33346739 DO - 10.2196/19608 ID - info:doi/10.2196/19608 ER -