Reliability and validity of the Microsoft Kinect for evaluating static foot posture.

Reliability and validity of the Microsoft Kinect for evaluating static foot posture.
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DOI:
10.1186/1757-1146-6-14
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发表时间:
2013-04-08
影响因子:
2.9
通讯作者:
Paterson K
Paterson K
中科院分区:
医学3区
文献类型:
--
作者:
Mentiplay BF;Clark RA;Mullins A;Bryant AL;Bartold S;Paterson K

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在临床环境下对足部姿势的评估有助于筛选潜在的损伤,但对于哪种方法具有最大的临床实用价值仍存在分歧。一种廉价且广泛使用的成像系统,Microsoft Kinect™,可能具有在临床环境中以高精度客观评估静态足位的特点。这项研究的目的是评估该系统用于评估静态足姿的评分者内部的可靠性和有效性。评估静态足部姿势的方法有三种:使用足部姿势指数(FPI)的传统视觉观察、3D运动分析(3DMA)系统以及用于收集和分析来自Kinect的图像和深度数据的软件。使用Spearman‘s Rho评估评分者内部的可靠性和Kinect评估足部姿势的同时效度,并使用线性回归检验Kinect预测视觉FPI总分的能力。KINECT在四项足姿评分中表现出中等至良好的信度(ρ = 为0.62至0.78),与3DMA系统的相关性为中等至良好(ρ = 为0.51至0.85)。相比之下,视觉功能指数项目的评分者内部信度为差至中等(ρ = 为0.17至0.63),与Kinect和3DMA系统的相关性较差(绝对ρ = 为0.01至0.44)。具有中等到良好可靠性的Kinect FPI项目预测了视觉FPI总分的61%的变异。使用Kinect得出的大多数足部姿势项目比传统的FPI视觉评估更可靠,与3DMA系统相比也是有效的。使用Kinect记录的单个足部姿势项目也可以预测总体视觉FPI得分的中等程度的变化。总而言之,这些结果支持了Kinect在临床环境中准确评估静态足部姿势的未来潜力。
The evaluation of foot posture in a clinical setting is useful to screen for potential injury, however disagreement remains as to which method has the greatest clinical utility. An inexpensive and widely available imaging system, the Microsoft Kinect™, may possess the characteristics to objectively evaluate static foot posture in a clinical setting with high accuracy. The aim of this study was to assess the intra-rater reliability and validity of this system for assessing static foot posture. Three measures were used to assess static foot posture; traditional visual observation using the Foot Posture Index (FPI), a 3D motion analysis (3DMA) system and software designed to collect and analyse image and depth data from the Kinect. Spearman’s rho was used to assess intra-rater reliability and concurrent validity of the Kinect to evaluate foot posture, and a linear regression was used to examine the ability of the Kinect to predict total visual FPI score. The Kinect demonstrated moderate to good intra-rater reliability for four FPI items of foot posture (ρ = 0.62 to 0.78) and moderate to good correlations with the 3DMA system for four items of foot posture (ρ = 0.51 to 0.85). In contrast, intra-rater reliability of visual FPI items was poor to moderate (ρ = 0.17 to 0.63), and correlations with the Kinect and 3DMA systems were poor (absolute ρ = 0.01 to 0.44). Kinect FPI items with moderate to good reliability predicted 61% of the variance in total visual FPI score. The majority of the foot posture items derived using the Kinect were more reliable than the traditional visual assessment of FPI, and were valid when compared to a 3DMA system. Individual foot posture items recorded using the Kinect were also shown to predict a moderate degree of variance in the total visual FPI score. Combined, these results support the future potential of the Kinect to accurately evaluate static foot posture in a clinical setting.
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