The predictive and functional calibration method in 3D gait analysis using Human Body Model-II produce different 3D joint angles

Rachel Senden, Rik Marcellis, Reinhard Claeys, Kenneth Meijer, Marianne Witlox, Paul Willems
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Abstract

Predictive and functional calibration methods can be used to estimate joint centre and axis localisation in 3D motion analysis (1-6). The method of Harrington and the geometric sphere fit method are implemented in Human Body Model (HBM-II) as they are the most accurate predictive and functional calibration method respectively (1-6). The effect of calibration methods on kinematics is less researched although relevant for clinical interpretations. Does the Harrington predictive and the combined functional knee and hip calibration method in 3D gait analysis produce comparable 3D joint kinematics? Gait of 12 healthy subjects (11 F, mean(SD) age 26.4 (9.3)years, BMI 24.6 (2.8)kg/m2) was measured at Computer Assisted Rehabilitation ENvironment using HBM-II. Subjects started with a 6 minutes familiarisation period. Afterwards, a static model initialization was done (5 s standing in Tpose) using the predictive method of Harrington (1) followed by a measurement of three minutes walking at 1.1 m/s. Next, the system was reset and a combined functional knee (performing knee extension/flexion movements) and hip (performing starARc movement (6)) calibration was done using the geometric sphere fit method (2). A similar gait measurement was done. Data of 3D joint angles were extrapolated to strides (0-100%). For each subject, the difference in joint angle between the methods was calculated for each instant of the gait cycle. Mean differences were calculated and statistical parametric mapping (paired t-test) was used for group comparisons. Although the waveform patterns were comparable for the methods (Fig. 1A), significant differences in amplitude were observed for sagittal hip, knee and ankle angles and transverse hip angle (Fig. 1C), with maximum mean differences ranging from 3.6° to 7.4° (Fig. 1B). Mean differences in sagittal trunk and pelvis angles and frontal plane angles were smaller (range 0.0°–1.1°) and non-significant. The kinematic differences between methods varied among subjects (e.g. maximum knee flexion difference range: 1.9°-12.5°, Fig. 1D). Download : Download high-res image (457KB)Download : Download full-size image 3D gait analysis using the Harrington predictive or combined functional knee and hip calibration method results in different sagittal hip, knee, ankle angles and transverse hip angle. Differences are clinically relevant as they exceed 5°, corresponding to the measurement error for 3D gait kinematics (7). The difference of 1° in other joint angles indicates no critically interfere of the calibration method. The choice for a calibration method should be consistent in a lab and should be based on the context (4, 6). The functional method is more reliable as it is independent on marker placement, but is sensitive for measurement artefacts and quality of movements (6). This reduces repeatability and limits its use in patients having restricted range of motion. The predictive method is sensitive for marker placement and anthropometric measures (8), therefore requiring experienced operators. However this method is practical and feasible for patients and therefore widely used in the Netherlands.
在基于人体模型- ii的三维步态分析中,预测和功能校准方法会产生不同的三维关节角度
预测和功能校准方法可用于估计三维运动分析中的关节中心和轴定位(1-6)。Harrington方法和几何球拟合方法分别是最准确的预测校准方法和功能校准方法,因此在Human Body Model (HBM-II)中实现(1-6)。校准方法对运动学的影响虽然与临床解释相关,但研究较少。在三维步态分析中,哈林顿预测和联合功能膝关节和髋关节校准方法是否产生可比较的三维关节运动学?采用HBM-II在计算机辅助康复环境下测量12名健康受试者(11名F,平均(SD)年龄26.4(9.3)岁,BMI 24.6 (2.8)kg/m2)的步态。受试者开始有6分钟的熟悉期。然后,使用Harrington(1)的预测方法进行静态模型初始化(在Tpose中站立5 s),然后测量以1.1 m/s的速度行走3分钟。接下来,对系统进行复位,并使用几何球体拟合方法(2)对膝关节(进行膝关节伸展/屈曲运动)和髋关节(进行starARc运动)进行联合功能校准。三维关节角度数据外推至步长(0-100%)。对于每个受试者,在步态周期的每个瞬间计算两种方法之间的关节角度差异。计算均数差异,采用统计参数映射(配对t检验)进行组间比较。尽管两种方法的波形模式具有可比性(图1A),但在髋矢状角、膝关节角和踝关节角以及髋横角的振幅上观察到显著差异(图1C),最大平均差异范围为3.6°至7.4°(图1B)。躯干和骨盆矢状角和额平面角的平均差异较小(范围为0.0°-1.1°),无统计学意义。不同方法的运动学差异因受试者而异(例如,最大膝关节屈曲差异范围:1.9°-12.5°,图1D)。下载:下载全尺寸图像3D步态分析,使用哈林顿预测或结合功能的膝关节和髋关节校准方法,得到不同的髋矢状、膝关节、踝关节角度和髋横角。差异超过5°时具有临床相关性,对应于三维步态运动学的测量误差(7)。其他关节角度相差1°表明校准方法没有严重干扰。校准方法的选择应在实验室中保持一致,并应基于环境(4,6)。功能方法更可靠,因为它独立于标记物的放置,但对测量伪像和运动质量敏感(6)。这降低了可重复性,限制了其在运动范围有限的患者中的使用。预测方法对标记位置和人体测量很敏感(8),因此需要经验丰富的操作人员。然而,这种方法对患者来说是实用可行的,因此在荷兰被广泛使用。
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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