Agreement between 2D Visual- and 3D Motion Capture-based Assessment of Foot Strike Pattern.

IF 1.6 Q3 SPORT SCIENCES
International Journal of Sports Physical Therapy Pub Date : 2024-11-01 eCollection Date: 2024-01-01 DOI:10.26603/001c.123952
Haruhiko Goto, Toshinao Kamikubo, Ryota Yamamoto, Toshiharu Tsutsui, Suguru Torii
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引用次数: 0

Abstract

Background: Foot strike patterns during running are typically categorized into two types: non-rearfoot strike (NRFS) and rearfoot strike (RFS), or as three distinct types: forefoot strike (FFS), midfoot strike (MFS), and RFS, based on which part of the foot lands first. Various methods, including two-dimensional (2D) visual-based methods and three-dimensional (3D) motion capture-based methods utilizing parameters such as the strike index (SI) or strike angle (SA), have been employed to assess these patterns. However, the consistency between the results obtained from each method remains debatable.

Hypothesis/purpose: The purpose of this study was to examine the agreement for assessing foot strike patterns into two (NRFS and RFS) or three types (FFS, MFS, and RFS) between 2D visual- and 3D motion capture-based methods. The authors hypothesized that using two description types (NRFS and RFS) would have high inter-method reliability; however, using three description types (FFS, MFS and RFS) would have lower inter-method reliability because of the difficulty in distinguishing between FFS and MFS.

Study design: Controlled Laboratory Study.

Methods: Overall, 162 foot strikes from four healthy runners with various foot strike patterns were analyzed. Running kinematics and kinetics were recorded using a 3D motion capture system with a force platform. Each foot strike was filmed at 240 fps from the sagittal perspective. The visual, SI, and SA methods were used, and the kappa values for each method were calculated.

Results: An assessment of the two types of foot strike: NRFS and RFS, revealed almost perfect kappa values (κ = 0.89-0.95) among the visual, SI, and SA methods. In contrast, an assessment of the three types: FFS, MFS, and RFS, revealed relatively low kappa values (κ = 0.58-0.71). Kappa values within the NRFS category, which includes MFS and FFS, ranged from fair to slight (κ = 0.08-0.33).

Conclusion: Previous laboratory findings that categorized foot strike patterns into two distinct types may be applied in observational studies, clinical practice, and training situations.

Level of evidence: Level 2.

基于二维视觉和三维运动捕捉的脚部击球模式评估之间的一致性。
背景:跑步过程中的脚部击球模式通常分为两种类型:非后脚掌击球(NRFS)和后脚掌击球(RFS),或者根据脚的哪一部分先着地分为三种不同类型:前脚掌击球(FFS)、中脚掌击球(MFS)和后脚掌击球(RFS)。评估这些模式的方法多种多样,包括基于视觉的二维(2D)方法和基于运动捕捉的三维(3D)方法,这些方法利用了打击指数(SI)或打击角度(SA)等参数。假设/目的:本研究的目的是检验基于视觉的二维方法和基于三维运动捕捉的方法在评估两种(NRFS 和 RFS)或三种(FFS、MFS 和 RFS)类型的脚打击模式时的一致性。作者假设,使用两种描述类型(NRFS 和 RFS)的方法间可靠性较高;但使用三种描述类型(FFS、MFS 和 RFS)的方法间可靠性较低,因为很难区分 FFS 和 MFS:研究设计:对照实验室研究:方法:对四名健康跑步者的 162 次脚部击球进行了分析,他们的脚部击球模式各不相同。使用带受力平台的三维运动捕捉系统记录跑步运动学和动力学。从矢状视角以 240 fps 的速度拍摄每一次脚部击球。使用了视觉法、SI 法和 SA 法,并计算了每种方法的卡帕值:结果:对两种类型的击球进行了评估:结果:对 NRFS 和 RFS 两种足部打击类型的评估显示,目测法、SI 法和 SA 法的卡帕值几乎完美(κ = 0.89-0.95)。与此相反,对三种类型的评估:FFS、MFS 和 RFS 三种类型的评估结果显示出相对较低的卡帕值(κ = 0.58-0.71)。包括 MFS 和 FFS 在内的 NRFS 类别的卡帕值从一般到轻微不等(κ = 0.08-0.33):结论:以前的实验室研究结果将脚部击球模式分为两种不同的类型,可应用于观察研究、临床实践和训练中:证据等级:2 级。
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
CiteScore
2.50
自引率
5.90%
发文量
124
审稿时长
16 weeks
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