Assessment of varus thrust using inertial measurement units

IF 1.4 3区 医学 Q4 ENGINEERING, BIOMEDICAL Clinical Biomechanics Pub Date : 2025-02-01 DOI:10.1016/j.clinbiomech.2024.106427
Millissia A. Murro , Julien A. Mihy, Mayumi Wagatsuma, Jocelyn F. Hafer
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Abstract

Background

Varus thrust is common in those with knee osteoarthritis. Varus thrust is traditionally identified with visual analysis or motion capture, methods that are either dichotomous or limited to the laboratory setting. Inertial measurement unit data has been found to correlate with motion capture measures of varus thrust in those with severe knee osteoarthritis, allowing for a quantitative and accessible way of measuring varus thrust. However, such measures have not been examined across a wider range of cartilage health. The goal of this study was to compare motion capture and inertial measurement unit estimates of varus thrust in adults who were asymptomatic or who had knee osteoarthritis.

Methods

Adults with (n = 17) and without (n = 10) knee osteoarthritis walked over-ground while motion capture and inertial measurement unit data were collected. We tested the correlations between motion capture variables (peak external knee adduction moment and knee adduction angular velocity during the first half of stance) and inertial measurement unit variables (peak frontal axis shank, thigh, and knee angular velocity during the first half of stance).

Findings

No significant relationships were found between the inertial measurement unit and motion capture variables. Between-study differences in cohorts or sensor-to-segment alignment methods may explain the conflicting findings.

Interpretation

Our findings suggest that assessing varus thrust across the spectrum of knee health (including those with and without knee osteoarthritis) may not be feasible using these inertial measurement unit measures. We should explore additional inertial measurement unit measures to enable accurate detection or monitoring of individuals with knee osteoarthritis.
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用惯性测量装置评估内翻推力。
背景:膝骨性关节炎患者常发生内翻。内翻推力传统上是通过视觉分析或动作捕捉来识别的,这些方法要么是二分法,要么仅限于实验室环境。惯性测量单元数据已被发现与严重膝骨关节炎患者内翻推力的运动捕捉测量相关,从而提供了一种定量和可获得的测量内翻推力的方法。然而,这些措施还没有在更大范围的软骨健康中得到检验。本研究的目的是比较运动捕捉和惯性测量单元对无症状或患有膝骨关节炎的成人内翻推力的估计。方法:有(n = 17)和没有(n = 10)膝骨关节炎的成年人在地上行走,同时收集运动捕捉和惯性测量单元数据。我们测试了运动捕捉变量(站立前半段时膝关节外内收力矩峰值和膝关节内收角速度)和惯性测量单元变量(站立前半段时前轴柄、大腿和膝关节角速度峰值)之间的相关性。研究发现:惯性测量单元和运动捕捉变量之间没有明显的关系。研究间队列或传感器-节段对齐方法的差异可能解释了相互矛盾的发现。解释:我们的研究结果表明,使用这些惯性测量单元测量来评估膝关节健康范围内的内翻推力(包括那些有和没有膝关节骨关节炎的人)可能是不可行的。我们应该探索额外的惯性测量单元措施,以便准确检测或监测患有膝骨关节炎的个体。
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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来源期刊
Clinical Biomechanics
Clinical Biomechanics 医学-工程:生物医学
CiteScore
3.30
自引率
5.60%
发文量
189
审稿时长
12.3 weeks
期刊介绍: Clinical Biomechanics is an international multidisciplinary journal of biomechanics with a focus on medical and clinical applications of new knowledge in the field. The science of biomechanics helps explain the causes of cell, tissue, organ and body system disorders, and supports clinicians in the diagnosis, prognosis and evaluation of treatment methods and technologies. Clinical Biomechanics aims to strengthen the links between laboratory and clinic by publishing cutting-edge biomechanics research which helps to explain the causes of injury and disease, and which provides evidence contributing to improved clinical management. A rigorous peer review system is employed and every attempt is made to process and publish top-quality papers promptly. Clinical Biomechanics explores all facets of body system, organ, tissue and cell biomechanics, with an emphasis on medical and clinical applications of the basic science aspects. The role of basic science is therefore recognized in a medical or clinical context. The readership of the journal closely reflects its multi-disciplinary contents, being a balance of scientists, engineers and clinicians. The contents are in the form of research papers, brief reports, review papers and correspondence, whilst special interest issues and supplements are published from time to time. Disciplines covered include biomechanics and mechanobiology at all scales, bioengineering and use of tissue engineering and biomaterials for clinical applications, biophysics, as well as biomechanical aspects of medical robotics, ergonomics, physical and occupational therapeutics and rehabilitation.
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