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惯性传感器技术测量单足站立任务中 3D 关节运动学和质心位移的判别有效性。

Discriminant validity of 3D joint kinematics and centre of mass displacement measured by inertial sensor technology during the unipodal stance task.

机构信息

REVAL Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium.

Department of Movement Sciences, Human Movement Biomechanics, KU Leuven, Leuven, Belgium.

出版信息

PLoS One. 2020 May 14;15(5):e0232513. doi: 10.1371/journal.pone.0232513. eCollection 2020.

Abstract

BACKGROUND

The unipodal stance task is a clinical task that quantifies postural stability and alignment of the lower limb joints, while weight bearing on one leg. As persons with knee osteoarthritis (KOA) have poor postural and knee joint stability, objective assessment of this task might be useful.

OBJECTIVE

To investigate the discriminant validity of three-dimensional joint kinematics and centre of mass displacement (COM) between healthy controls and persons with knee KOA, during unipodal stance using inertial sensors. Additionally, the reliability, agreement and construct validity are assessed to determine the reproducibility and accuracy of the discriminating parameters.

METHODS

Twenty healthy controls and 19 persons with unilateral severe KOA were included. Five repetitions of the unipodal stance task were simultaneously recorded by an inertial sensor system and a camera-based system (gold standard). Statistical significant differences in kinematic waveforms between healthy controls and persons with severe knee KOA were determined using one-dimensional statistical parametric mapping (SPM1D).

RESULTS

Persons with severe knee KOA had more lateral trunk lean towards the contralateral leg, more hip flexion throughout the performance of the unipodal stance task, more pelvic obliquity and COM displacement towards the contralateral side. However, for the latter two parameters the minimum detectable change was greater than the difference between healthy controls and persons with severe knee KOA. The construct validity was good (coefficient of multiple correlation 0.75, 0.83 respectively) and the root mean squared error (RMSE) was low (RMSE <1.5°) for the discriminant parameters.

CONCLUSION

Inertial sensor based movement analysis can discriminate between healthy controls and persons with severe knee KOA for lateral trunk lean and hip flexion, but unfortunately not for the knee angles. Further research is required to improve the reproducibility and accuracy of the inertial sensor measurements before they can be used to assess differences in tasks with a small range of motion.

摘要

背景

单足站立任务是一种临床任务,可量化单腿承重时下肢关节的姿势稳定性和对齐情况。由于膝骨关节炎(KOA)患者的姿势和膝关节稳定性较差,因此对该任务进行客观评估可能会有所帮助。

目的

使用惯性传感器研究三维关节运动学和质心位移(COM)在健康对照组和单侧严重 KOA 患者单足站立时的差异,以评估其区分效度。此外,还评估了可靠性、一致性和结构效度,以确定区分参数的可重复性和准确性。

方法

共纳入 20 名健康对照者和 19 名单侧严重 KOA 患者。使用惯性传感器系统和基于摄像机的系统(金标准)同时记录五次单足站立任务。使用一维统计参数映射(SPM1D)确定健康对照组和单侧严重 KOA 患者之间的运动学波形的统计学显著差异。

结果

严重 KOA 患者向对侧腿倾斜的躯干侧倾更大,单足站立任务整个过程中的髋关节屈曲更多,骨盆倾斜和 COM 向对侧的位移更大。然而,对于后两个参数,最小可检测变化大于健康对照组和单侧严重 KOA 患者之间的差异。区分参数的结构效度良好(多重相关系数分别为 0.75 和 0.83),均方根误差(RMSE)较低(RMSE<1.5°)。

结论

基于惯性传感器的运动分析可区分健康对照组和单侧严重 KOA 患者的躯干侧倾和髋关节屈曲,但不幸的是,无法区分膝关节角度。在惯性传感器测量的可重复性和准确性得到进一步提高之前,还需要进一步的研究来评估具有小运动范围的任务之间的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7273/7224481/5636c68193de/pone.0232513.g001.jpg

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