测量膝骨关节炎生物力学参数的步态分析技术

Priyanka Choursiya, Zubia Veqar, Zainy Khan, Tarushi Tanwar, Iram Iram, Mosab Aldabbas
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摘要

膝关节骨关节炎(KOA)是一种进行性退行性关节疾病。这种退化过程会导致步态力学的改变。有多种方法可用于评估这些步态差异。本综述旨在批判性地分析研究结果,并概述评估 KOA 步态异常的策略,包括观察法、视觉法、传感器法和混合步态评估技术。通过这些方法进行的步态分析,可以实施适合患者特殊需要的程序。在简明扼要地介绍了这些方法和在 KOA 患者中的应用后,将讨论所有指数中可用工具的优缺点。定量方法分为视觉技术、基于传感器的技术和混合技术,这些技术的特点使其在满足各类需求时具有强大的竞争力。在这些技术中,混合技术似乎是最可靠、最准确的,因为它可以评估步态评估的各个方面。未来的研究应开发一个公开的 KOA 步态数据集,考虑所有严重程度和所有车厢的 KOA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Gait Analysis Technologies for Measurement of Biomechanical Parameters of Knee Osteoarthritis

Knee osteoarthritis (KOA) is a progressive degenerative joint disease. This degenerative process leads to an alteration in the gait mechanics. There are varieties of methods that can be used to evaluate these gait differences. The purpose of this review is to critically analyze the research findings and to outline strategies for evaluating gait anomalies in KOA, including observational, vision-based, and sensor-based and hybrid gait assessment technologies. The gait analysis, carried out by these methods, enables the implementation of procedures suited to patients’ particular need is discussed. In all indices, the advantages and drawbacks of the available tools will be addressed after a concise description of the methods and the implementations in the KOA patients. The quantitative methods, categorized as vision, sensor-based, and hybrid technologies, have features that make them powerful and competitive for various types of requirements. Among these technologies, hybrid technology seems to be the most reliable and accurate because it can assess all aspects of gait assessment. Future studies should be done to develop a KOA gait dataset available publicly, consider all severity levels and all compartment KOA.

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