Department of Movement Sciences, Katholieke Universiteit Leuven, 3001 Leuven, Belgium.
Sensors (Basel). 2022 Apr 24;22(9):3259. doi: 10.3390/s22093259.
Inertial capture (InCap) systems combined with musculoskeletal (MSK) models are an attractive option for monitoring 3D joint kinematics in an ecological context. However, the primary limiting factor is the sensor-to-segment calibration, which is crucial to estimate the body segment orientations. Walking, running, and stair ascent and descent trials were measured in eleven healthy subjects with the Xsens InCap system and the Vicon 3D motion capture (MoCap) system at a self-selected speed. A novel integrated method that combines previous sensor-to-segment calibration approaches was developed for use in a MSK model with three degree of freedom (DOF) hip and knee joints. The following were compared: RMSE, range of motion (ROM), peaks, and R between InCap kinematics estimated with different calibration methods and gold standard MoCap kinematics. The integrated method reduced the RSME for both the hip and the knee joints below 5°, and no statistically significant differences were found between MoCap and InCap kinematics. This was consistent across all the different analyzed movements. The developed method was integrated on an MSK model workflow, and it increased the sensor-to-segment calibration accuracy for an accurate estimate of 3D joint kinematics compared to MoCap, guaranteeing a clinical easy-to-use approach.
惯性捕获 (InCap) 系统与肌肉骨骼 (MSK) 模型相结合，是在生态背景下监测 3D 关节运动学的一种很有吸引力的选择。然而，主要的限制因素是传感器到节段的校准，这对于估计身体节段的方向至关重要。在 11 名健康受试者中，以自选择的速度进行了步行、跑步、上下楼梯试验，使用 Xsens Incap 系统和 Vicon 3D 运动捕捉 (MoCap) 系统进行测量。开发了一种新的集成方法，该方法结合了以前的传感器到节段校准方法，用于具有三个自由度 (DOF) 髋关节和膝关节的 MSK 模型。比较了以下内容：不同校准方法和黄金标准 MoCap 运动学估计的 Incap 运动学的 RMSE、运动范围 (ROM)、峰值和 R。该集成方法将髋关节和膝关节的 RMSE 降低到 5°以下，并且在 MoCap 和 Incap 运动学之间没有发现统计学上的显著差异。这在所有不同的分析运动中都是一致的。该方法已集成到 MSK 模型工作流程中，与 MoCap 相比，它提高了传感器到节段的校准精度，可实现 3D 关节运动学的准确估计，保证了临床易于使用的方法。
