KU Leuven Campus Bruges, Department of Rehabilitation Sciences, 8200 Bruges, Belgium.
TU Delft, Department of Mechanical and Materials Engineering, 2628 CD Delft, The Netherlands.
Sensors (Basel). 2020 Jan 26;20(3):673. doi: 10.3390/s20030673.
The use of inertial measurement units (IMUs) has gained popularity for the estimation of lower limb kinematics. However, implementations in clinical practice are still lacking. The aim of this review is twofold-to evaluate the methodological requirements for IMU-based joint kinematic estimation to be applicable in a clinical setting, and to suggest future research directions. Studies within the PubMed, Web Of Science and EMBASE databases were screened for eligibility, based on the following inclusion criteria: (1) studies must include a methodological description of how kinematic variables were obtained for the lower limb, (2) kinematic data must have been acquired by means of IMUs, (3) studies must have validated the implemented method against a golden standard reference system. Information on study characteristics, signal processing characteristics and study results was assessed and discussed. This review shows that methods for lower limb joint kinematics are inherently application dependent. Sensor restrictions are generally compensated with biomechanically inspired assumptions and prior information. Awareness of the possible adaptations in the IMU-based kinematic estimates by incorporating such prior information and assumptions is necessary, before drawing clinical decisions. Future research should focus on alternative validation methods, subject-specific IMU-based biomechanical joint models and disturbed movement patterns in real-world settings.
惯性测量单元 (IMU) 在下肢运动学估计中的应用越来越受欢迎。然而,在临床实践中的实施仍然缺乏。本综述的目的有两个:评估基于 IMU 的关节运动学估计在临床环境中应用的方法学要求,并提出未来的研究方向。根据以下纳入标准,对 PubMed、Web Of Science 和 EMBASE 数据库中的研究进行了筛选,以确定其是否符合条件:(1) 研究必须包括如何获得下肢运动学变量的方法学描述;(2) 运动学数据必须通过 IMU 获得;(3) 研究必须针对实施的方法与黄金标准参考系统进行验证。评估和讨论了有关研究特征、信号处理特征和研究结果的信息。本综述表明,下肢关节运动学的方法本质上是应用相关的。传感器限制通常通过基于生物力学的假设和先验信息来补偿。在做出临床决策之前,必须了解通过纳入此类先验信息和假设,基于 IMU 的运动学估计可能会发生哪些变化。未来的研究应侧重于替代验证方法、基于个体的基于 IMU 的生物力学关节模型以及现实环境中的干扰运动模式。