Brand Andreas, Alexander Nathalie, Bauer Leandra, Böhm Harald, Stief Felix, van Drongelen Stefan, Wolf Sebastian I, Trinler Ursula
Institut für Biomechanik, BG Unfallklinik Murnau, Murnau, Deutschland.
Paracelsus Medizinische Privatuniversität Salzburg, Salzburg, Österreich.
Orthopadie (Heidelb). 2024 Jul;53(7):494-502. doi: 10.1007/s00132-024-04516-4. Epub 2024 Jun 7.
The objective acquisition and assessment of joint movements and loads using instrumented gait analysis has become an established tool in clinical diagnostics. In particular, marker-based 3D gait analyses make use of an increasingly comprehensive database for the assessment of orthopaedic or neurological questions. Based on this data and medical-scientific experience, increasingly reliable approaches and evaluation strategies are emerging, which also draw on methods from artificial intelligence and musculoskeletal modelling. This article focusses on marker-based gait analyses of the lower extremity (hip, knee, foot) and how these can be used in a clinically relevant way using current methods, e.g. for determining indications or optimization of surgical planning. Finally, current developments and applications by using alternative methods from sensor technology and optical motion capture will be briefly discussed.
使用仪器化步态分析对关节运动和负荷进行客观采集和评估，已成为临床诊断中的一种既定工具。特别是，基于标记的三维步态分析利用了越来越全面的数据库来评估骨科或神经学问题。基于这些数据和医学科学经验，越来越可靠的方法和评估策略正在出现，这些方法和策略还借鉴了人工智能和肌肉骨骼建模的方法。本文重点关注下肢（髋、膝、足）基于标记的步态分析，以及如何使用当前方法以临床相关的方式应用这些分析，例如用于确定手术指征或优化手术规划。最后，将简要讨论使用传感器技术和光学运动捕捉等替代方法的当前发展和应用。
