Laboratoire de Recherche en Imagerie et Orthopédie (LIO), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 St-Denis, Montréal, QC, H2X 0A9, Canada; École de Technologie Supérieure, Département du génie de la Production Automatisée, 1100 rue Notre-Dame Ouest, Montréal, QC, H2L 2W5, Canada.
Laboratoire de Recherche en Imagerie et Orthopédie (LIO), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 St-Denis, Montréal, QC, H2X 0A9, Canada; École de Technologie Supérieure, Département du génie de la Production Automatisée, 1100 rue Notre-Dame Ouest, Montréal, QC, H2L 2W5, Canada.
Gait Posture. 2020 Mar;77:132-137. doi: 10.1016/j.gaitpost.2020.01.029. Epub 2020 Jan 31.
Inertial motion capture (IMC) is rapidly gaining in popularity to evaluate gait in clinical settings. Previous examinations of IMC knee kinematics were often limited to the sagittal plane and IMC calibration has not been thoroughly investigated.
The objective was to validate IMC 3D knee kinematics calibrated with a double-pose during gait with reference to optical motion capture (OMC). The hypotheses are that IMC can estimate adequately knee kinematics and that both systems will detect similarly the changes with gait speed.
Twenty-four healthy participants walked on the treadmill at gait speed of 0.6, 0.8, 1.0 and 1.2 m/s. Knee kinematics were obtained simultaneously with two magnetic and inertial measurement units and passive markers fixed on the KneeKG system. OMC was calibrated with a functional anatomical approach and the IMC with a double-pose.
Root mean square differences of the two systems yielded 3-6° for knee flexion, adduction and external rotation. Knee kinematics were more similar during the stance phase than the swing phase. Gait speed showed a significant progressive effect on the three knee angles that was similarly detected by the two systems.
IMC 3D knee kinematics can be obtained independently with a simple calibration and only two magnetic and inertial measurement units at an acceptable level of error especially during stance.
惯性运动捕捉(IMC)在临床评估步态中迅速普及。以前对 IMC 膝关节运动学的研究往往仅限于矢状面,并且尚未对 IMC 校准进行彻底研究。
目的是使用双姿势校准 IMC 的 3D 膝关节运动学,与光学运动捕捉(OMC)进行验证。假设 IMC 可以充分估计膝关节运动学,并且两个系统将以类似的方式检测到随步行速度的变化。
24 名健康参与者在跑步机上以 0.6、0.8、1.0 和 1.2 m/s 的步行速度行走。同时使用两个磁和惯性测量单元以及固定在 KneeKG 系统上的被动标记来获得膝关节运动学。OMC 通过功能解剖方法进行校准,IMC 通过双姿势进行校准。
两种系统的均方根差异在 3-6°之间,用于膝关节的屈曲、内收和外旋。膝关节运动学在站立阶段比摆动阶段更相似。步行速度对三个膝关节角度有显著的渐进影响,两个系统都能同样检测到这种影响。
IMC 的 3D 膝关节运动学可以通过简单的校准独立获得,并且仅需要两个磁和惯性测量单元,在可接受的误差水平下,特别是在站立阶段。