Analysis of gait synchrony and balance in neurodevelopmental disorders using computer vision techniques
Analysis of gait synchrony and balance in neurodevelopmental disorders using computer vision techniques
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DOI：
10.1177/14604582211055650
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发表时间：
2021-10-01
影响因子：
3
通讯作者：
Goldman, Sylvie
中科院分区：
文献类型：
--
作者：
Ardalan, Adel;Yamane, Natasha;Goldman, Sylvie
步态任务通常在神经发育障碍 (NDD) 儿童的运动评估过程中进行。步态分析通常在实验室环境中使用昂贵且繁琐的实验进行。在本文中，我们提出了一种计算管道，使用计算机视觉技术作为一种生态且精确的方法来量化具有挑战性行为的 NDD 儿童的步态。我们分析了 15 位先证者 (PB) 和 12 位典型发育 (TD) 兄弟姐妹的视频，这些兄弟姐妹从事首选步速步行任务，使用姿势估计软件跟踪他们身体上随时间变化的兴趣点。分析提取的信息表明，与 TD 兄弟姐妹相比，PB 儿童的全身步态同步性明显较差，平衡性也较差。我们的工作提供了一种具有成本效益的方法，同时保持其结果的有效性。这种远程方法增加了对更加多样化和遥远群体的接触，从而降低了参与研究的障碍，进一步丰富了我们对 NDD 运动结果的理解。
Gait tasks are commonly administered during motor assessments of children with neurodevelopmental disorders (NDDs). Gait analyses are often conducted in laboratory settings using costly and cumbersome experiments. In this paper, we propose a computational pipeline using computer vision techniques as an ecological and precise method to quantify gait in children with NDDs with challenging behaviors. We analyzed videos of 15 probands (PB) and 12 typically developing (TD) siblings, engaged in a preferred-pace walking task, using pose estimation software to track points of interest on their bodies over time. Analyzing the extracted information revealed that PB children had significantly less whole-body gait synchrony and poorer balance compared to their TD siblings. Our work offers a cost-effective method while preserving the validity of its results. This remote approach increases access to more diverse and distant cohorts and thus lowers barriers to research participation, further enriching our understanding of motor outcomes in NDDs.