Concurrent validity of IMU and phone-based markerless systems for lower-limb kinematics during cognitively-challenging landing tasks.

IF 2.4 3区 医学 Q3 BIOPHYSICS
Journal of biomechanics Pub Date : 2025-10-01 Epub Date: 2025-08-05 DOI:10.1016/j.jbiomech.2025.112883
Filippo Bertozzi, Claudia Brunetti, Pietro Maver, Marco Palombi, Matilde Santini, Manuela Galli, Marco Tarabini
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引用次数: 0

Abstract

Alternative technologies, such as IMU and low-cost markerless systems, may overcome the drawbacks of optoelectronic marker-based motion capture systems (OMS) in sports non-contact injury risk screening, but the precision of collected kinematic data must be validated in comparison to OMS. This study assessed the concurrent validity of the Xsens IMU and phone-based OpenCap systems for lower-limb kinematics during cognitively-challenging landing tasks. Thirty competitive athletes (13 females, 17 males) performed unplanned jump-land-jump tasks towards lateral secondary directions while kinematics was simultaneously recorded with OMS, Xsens, and OpenCap. The agreement of lower limb joint discrete (initial contact and peak) values was assessed using Bland-Altman plots. Kinematic waveforms validity and similarity were evaluated through RMSE, normalized RMSE (NRMSE), and coefficient of multiple correlation (CMC). All systems were also compared using statistical parametric mapping (SPM) ANOVA. Time series exhibited very strong similarity (CMC > 0.85) on the sagittal plane for both systems. Highly variable validity and agreement were found based on the joint and plane considered. The lowest error and bias were found for knee flexion (NRMSE ≤ 10%), while the hip rotation demonstrated the lowest agreement for both systems. SPM reported significantly different clusters across the contact phase between the systems for most kinematic variables. The findings corroborate that IMU- and phone-based systems generate sagittal joint kinematic waveforms that are comparable in shape with respect to OMS, although magnitude differences were observed for hip flexion. However, the validity of kinematics in the transverse and frontal plane (knee data not available in OpenCap) was limited, as variability and systematic errors must be acknowledged.

在认知挑战性着陆任务中,IMU和基于手机的无标记系统对下肢运动学的并发有效性。
替代技术,如IMU和低成本无标记系统,可以克服基于光电标记的运动捕捉系统(OMS)在运动非接触伤害风险筛查中的缺点,但收集的运动数据的精度必须与OMS进行比较验证。本研究评估了Xsens IMU和基于手机的OpenCap系统在认知挑战性着陆任务中下肢运动学的并发有效性。30名竞技运动员(13名女性,17名男性)在OMS, Xsens和OpenCap同时记录运动学的同时,向侧向次要方向进行计划外的跳跃-陆地跳跃任务。使用Bland-Altman图评估下肢关节离散(初始接触和峰值)值的一致性。通过RMSE、归一化RMSE (NRMSE)和多重相关系数(CMC)评价运动波形的有效性和相似性。所有系统也使用统计参数映射(SPM)方差分析进行比较。时间序列在矢状面上表现出很强的相似性(CMC > 0.85)。在考虑关节和面的基础上,发现了高度可变的有效性和一致性。膝关节屈曲的误差和偏差最小(NRMSE≤10%),而髋关节旋转的一致性最低。SPM报告了在大多数运动变量的系统之间的接触阶段显著不同的簇。研究结果证实,IMU和基于手机的系统产生的矢状关节运动波形在形状上与OMS相当,尽管在髋关节屈曲方面观察到幅度差异。然而,由于必须承认可变性和系统误差,横平面和正平面运动学(OpenCap中无法获得膝关节数据)的有效性受到限制。
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
Journal of biomechanics
Journal of biomechanics 生物-工程:生物医学
CiteScore
5.10
自引率
4.20%
发文量
345
审稿时长
1 months
期刊介绍: The Journal of Biomechanics publishes reports of original and substantial findings using the principles of mechanics to explore biological problems. Analytical, as well as experimental papers may be submitted, and the journal accepts original articles, surveys and perspective articles (usually by Editorial invitation only), book reviews and letters to the Editor. The criteria for acceptance of manuscripts include excellence, novelty, significance, clarity, conciseness and interest to the readership. Papers published in the journal may cover a wide range of topics in biomechanics, including, but not limited to: -Fundamental Topics - Biomechanics of the musculoskeletal, cardiovascular, and respiratory systems, mechanics of hard and soft tissues, biofluid mechanics, mechanics of prostheses and implant-tissue interfaces, mechanics of cells. -Cardiovascular and Respiratory Biomechanics - Mechanics of blood-flow, air-flow, mechanics of the soft tissues, flow-tissue or flow-prosthesis interactions. -Cell Biomechanics - Biomechanic analyses of cells, membranes and sub-cellular structures; the relationship of the mechanical environment to cell and tissue response. -Dental Biomechanics - Design and analysis of dental tissues and prostheses, mechanics of chewing. -Functional Tissue Engineering - The role of biomechanical factors in engineered tissue replacements and regenerative medicine. -Injury Biomechanics - Mechanics of impact and trauma, dynamics of man-machine interaction. -Molecular Biomechanics - Mechanical analyses of biomolecules. -Orthopedic Biomechanics - Mechanics of fracture and fracture fixation, mechanics of implants and implant fixation, mechanics of bones and joints, wear of natural and artificial joints. -Rehabilitation Biomechanics - Analyses of gait, mechanics of prosthetics and orthotics. -Sports Biomechanics - Mechanical analyses of sports performance.
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