Effect of registration on cyclical kinematic data.
Effect of registration on cyclical kinematic data.
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DOI：
10.1016/j.jbiomech.2010.04.024
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发表时间：
2010-08-26
影响因子：
2.4
通讯作者：
Gerstner, Geoffrey E.
中科院分区：
文献类型：
--
作者：
Crane, Elizabeth A.;Cassidy, Ruth B.;Rothman, Edward D.;Gerstner, Geoffrey E.
鉴于人们对功能数据分析 (FDA) 作为分析人体运动数据的有用方法越来越感兴趣，了解标准 FDA 程序（包括注册）对生物力学分析的影响至关重要。配准用于减少曲线之间的相位变化，同时保留各个曲线的形状和幅度。应用三种可用于评估配准的方法可以使使用 FDA 技术的生物力学界的人员受益：平均曲线的比较、平均 RMS 值的比较以及时间扭曲函数的评估。因此，本研究有两个目的。首先，评估时间归一化后对周期性数据进行登记的必要性。其次，我们阐述了评估注册效果的三种方法。研究人员跟踪了 22 名健康成年人（2 名男性，21 名女性）咀嚼口香糖颗粒 20 秒时的咀嚼下颌运动。使用两个同步锁相摄像机以 60 Hz 的频率捕获运动数据。将各个咀嚼周期的时间归一化，然后转化为功能观察。配准不影响平均曲线并且扭曲函数是线性的。尽管配准降低了 RMS，表明受试者间变异性降低，但差异并不具有统计学意义。这些结果共同表明，对于周期性咀嚼数据来说，注册可能并不总是必要的。本文的一个重要贡献是说明了三种评估注册的方法，这些方法易于应用，并且有助于判断是否有必要进行额外的数据操作。
Given growing interest in Functional Data Analysis (FDA) as a useful method for analyzing human movement data, it is critical to understand the effects of standard FDA procedures, including registration, on biomechanical analyses. Registration is used to reduce phase variability between curves while preserving the individual curves shape and amplitude. The application of three methods available to assess registration could benefit those in the biomechanics community using FDA techniques: comparison of mean curves, comparison of average RMS values, and assessment of time-warping functions. Therefore, the present study has two purposes. First, the necessity of registration applied to cyclical data after time normalization is assessed. Second, we illustrate the three methods for evaluating registration effects. Masticatory jaw movements of 22 healthy adults (2 males, 21 females) were tracked while subjects chewed a gum-based pellet for 20 seconds. Motion data were captured at 60 Hz with two gen-locked video cameras. Individual chewing cycles were time normalized and then transformed into functional observations. Registration did not affect mean curves and warping functions were linear. Although registration decreased the RMS, indicating a decrease in inter-subject variability, the difference was not statistically significant. Together these results indicate that registration may not always be necessary for cyclical chewing data. An important contribution of this paper is the illustration of three methods for evaluating registration that are easy to apply and useful for judging whether the extra data manipulation is necessary.
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