Title: The Functional Gait Deviation Index Show Chinese title

Title: 功能步态偏离指数

Abstract: A typical gait analysis requires the examination of the motion of nine joint angles on the left-hand side and six joint angles on the right-hand side across multiple subjects. Due to the quantity and complexity of the data, it is useful to calculate the amount by which a subject's gait deviates from an average normal profile and to represent this deviation as a single number. Such a measure can quantify the overall severity of a condition affecting walking, monitor progress, or evaluate the outcome of an intervention prescribed to improve the gait pattern. The gait deviation index, gait profile score, and the overall abnormality measure are standard benchmarks for quantifying gait abnormality. However, these indices do not account for the intrinsic smoothness of the gait movement at each joint/plane and the potential co-variation between the joints/planes. Utilizing a multivariate functional principal components analysis we propose the functional gait deviation index (FGDI). FGDI accounts for the intrinsic smoothness of the gait movement at each joint/plane and the potential co-variation between the joints. We show that FGDI scales with overall gait function, provides a consistent measure of gait abnormality, and is implemented easily using an interactive web app. Show Chinese abstract

Abstract: 典型的步态分析需要在多个受试者中检查左侧九个关节角度和右侧六个关节角度的运动。 由于数据的数量和复杂性，计算受试者的步态偏离平均正常轮廓的程度，并将这种偏离表示为一个数字是有用的。 这样的测量可以量化影响行走的状况的整体严重程度，监测进展或评估为改善步态模式而开立干预措施的效果。 步态偏差指数、步态剖面评分和整体异常度量是量化步态异常的标准基准。 然而，这些指数并未考虑每个关节/平面步态运动的内在平滑性以及关节/平面之间的潜在协变性。 利用多变量函数主成分分析，我们提出了函数步态偏差指数（FGDI）。 FGDI考虑了每个关节/平面步态运动的内在平滑性以及关节之间的潜在协变性。 我们表明，FGDI与整体步态功能成比例，提供了一致的步态异常度量，并且可以使用交互式网络应用轻松实现。