Fang Zhou, Senanayake Damith, Ackland David C
Department of Biomedical Engineering, University of Melbourne, Parkville, Victoria, 3010, Australia.
Department of Biomedical Engineering, University of Melbourne, Parkville, Victoria, 3010, Australia.
Med Eng Phys. 2025 Aug;142:104342. doi: 10.1016/j.medengphy.2025.104342. Epub 2025 May 17.
Inertial measurement units (IMUs) are wearable motion sensing devices that support low-cost human kinematics measurement outside of the laboratory; however, the impact of IMU motion measurement errors on estimates of upper limb muscle and joint force using musculoskeletal modeling remains poorly understood. The aims of this study were to measure upper limb kinematics using IMUs and optical motion analysis, and evaluate the differences in shoulder musculoskeletal model estimates of muscle and joint forces when using IMU-based motion analysis and optical motion analysis data. Thirty healthy adults performed activities of daily living at fast and slow speeds while upper limb motion measurement was simultaneously acquired using an optical motion analysis system and self-placed IMUs. Kinematics measurement accuracy using IMUs was highest in humerothoracic joint elevation and scapular lateral rotation, and lowest in humerothoracic plane of elevation and humeral axial rotation. Musculoskeletal model calculations of a muscle's force were most sensitive to IMU motion measurement errors about the degree of freedom primarily actuated by that muscle. For example, subscapularis force calculations were more sensitive to errors in humeral axial rotation than humeral elevation. Consequently, errors in humeral axial rotation motion measurement affected infraspinatus and subscapularis muscle forces, and subsequently, estimates of the compressive component of the glenohumeral joint force. During fast flexion, a mean difference of 4.5 %BW in the compressive joint force was observed when using IMU motion measurement compared to optical motion analysis data (p < 0.001). The findings of this study provide guidance in the use of IMUs for muscle and joint force calculation during activities of daily living.
惯性测量单元(IMU)是可穿戴的运动传感设备,支持在实验室外进行低成本的人体运动学测量;然而,IMU运动测量误差对使用肌肉骨骼模型估计上肢肌肉和关节力的影响仍知之甚少。本研究的目的是使用IMU和光学运动分析来测量上肢运动学,并评估在使用基于IMU的运动分析和光学运动分析数据时,肩部肌肉骨骼模型对肌肉和关节力估计的差异。30名健康成年人以快速和慢速进行日常生活活动,同时使用光学运动分析系统和自行放置的IMU获取上肢运动测量数据。IMU的运动学测量精度在胸肱关节抬高和肩胛骨外旋时最高,在胸肱抬高平面和肱骨轴向旋转时最低。肌肉骨骼模型对肌肉力的计算对主要由该肌肉驱动的自由度的IMU运动测量误差最为敏感。例如,肩胛下肌力量计算对肱骨轴向旋转误差比对肱骨抬高误差更敏感。因此,肱骨轴向旋转运动测量误差影响了冈下肌和肩胛下肌的力量,进而影响了肱盂关节力压缩分量的估计。在快速屈曲过程中,与光学运动分析数据相比,使用IMU运动测量时观察到关节压缩力平均相差4.5%体重(p<0.001)。本研究结果为日常生活活动中使用IMU进行肌肉和关节力计算提供了指导。