Bauer Leandra, Hamberger Maximilian Anselm, Böcker Wolfgang, Polzer Hans, Baumbach Sebastian Felix
Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Experimental Orthopaedics, University Hospital Jena, Campus Eisenberg, Waldkliniken Eisenberg, Germany.
BMC Musculoskelet Disord. 2024 Jul 31;25(1):606. doi: 10.1186/s12891-024-07719-0.
The two most commonly instrumented gait analysis tools used are Optical Motion Capture systems (OMC) and Inertial Measurement Units (IMU). To date, OMC based gait analysis is considered the gold-standard. Still, it is space-, cost-, and time-intense. On the other hand IMU systems are more cost- and time effective but simulate the whole foot as a single segment. To get a more detailed model of the foot and ankle, a new 2-segment foot model using IMU was developed, comparable to the multi-segment foot models assessed by OMC.
Can an IMU based 2-segment foot model be developed to provide a more detailed representation of the foot and ankle kinematics?
To establish a 2-segment foot model, in addition to the previous 1-segment foot model an IMU sensor was added to the calcaneus. This allowed the differentiation between the hindfoot and forefoot kinematics. 30 healthy individuals (mean age 27 ± 7 years) were recruited to create a norm data set of a healthy cohort. Moreover, the kinematic data of the 2-segment foot model were compared to those of the traditional 1-segment foot model using statistical parametric mapping.
The 2-segment foot model proved to be applicable. Furthermore, it allowed for a more detailed representation of the foot and ankle joints, similar to other multi-segment foot model. The healthy cohort's norm data set showed a homogeneous motion pattern for gait.
The 2-segment foot model allows for an extension of IMU-based gait analysis. Futures studies must prove the reliability and validity of the 2-segment foot model in healthy and pathologic situations.
Level II.
最常用的两种步态分析工具是光学运动捕捉系统（OMC）和惯性测量单元（IMU）。迄今为止，基于OMC的步态分析被视为金标准。然而，它需要大量空间、成本高且耗时。另一方面，IMU系统在成本和时间方面更具效益，但将整个足部模拟为单个节段。为了获得更详细的足踝模型，开发了一种使用IMU的新型双节段足部模型，可与通过OMC评估的多节段足部模型相媲美。
能否开发一种基于IMU的双节段足部模型，以更详细地呈现足踝运动学？
为建立双节段足部模型，除了先前的单节段足部模型外，在跟骨处添加了一个IMU传感器。这使得能够区分后足和前足的运动学。招募了30名健康个体（平均年龄27±7岁）来创建一个健康队列的标准数据集。此外，使用统计参数映射将双节段足部模型的运动学数据与传统单节段足部模型的数据进行比较。
双节段足部模型被证明是适用的。此外，它能够更详细地呈现足踝关节，类似于其他多节段足部模型。健康队列的标准数据集显示出步态的均匀运动模式。
双节段足部模型扩展了基于IMU的步态分析。未来的研究必须证明双节段足部模型在健康和病理情况下的可靠性和有效性。
二级。
