首页> 外文会议>ASME International Mechanical Engineering Congress and Exposition >THE EFFECT OF RANDOM SKIN MOTION ON KNEE KINEMATICS CALCULATED WITH SURFACE MARKERS: A COMPARISON OF THREE MARKER SETS
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THE EFFECT OF RANDOM SKIN MOTION ON KNEE KINEMATICS CALCULATED WITH SURFACE MARKERS: A COMPARISON OF THREE MARKER SETS

机译:随机皮肤运动对表面标记计算膝关节运动学的影响:三个标记集的比较

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The use of surface markers to calculate kinematics of diarthrodial joints is subject to error from relative motion between the markers on the skin and the underlying bones. It has been demonstrated that markers placed over the knee and hip joints could move 10-30 mm with respect to the skeleton which can have significant effects on the accuracy of calculated knee kinematics (Cappozzo et al., 1996, Manal et al., 2000). Several methods have been developed to calculate knee kinematics from marker locations and decrease error resulting from skin motion. The Helen Hayes method uses markers attached to the skin over anatomical landmarks and on wands to calculate the locations of the hip, knee, and ankle joints (Vaughan et al., 1999). The location and orientation of the thigh and shank segments can then be calculated based on anthropometric correlations. Other methods, such as that developed by the Cleveland Clinic, record the position of the femur and tibia using triads of markers attached to each segment (Manal et al., 2000). Additionally, a Point Cluster Technique was developed using clusters of markers attached to each segment to reduce error from skin motion (Andriacchi et al., 1998). The objective of this study was to assess the effect of random error of marker locations on knee kinematics calculated with the Helen Hayes, Cleveland Clinic, and Point Cluster Technique methods. Simulated skin motion was introduced into marker locations corresponding to known knee kinematics and the resulting error of calculated knee rotations and translations was determined. The error of knee kinematics obtained with the Cleveland Clinic method was hypothesized to be largest due to the close marker spacing. Well dispersed markers, such as those of the Helen Hayes and Point Cluster Technique methods, reduce the effect of errors in marker locations on the error of calculated segment location and orientation (Cappozzo etal., 1997).
机译:使用表面标志物来计算逐滴度关节的运动学受到皮肤和底层骨骼上标记之间的相对运动的误差。已经证明,放置在膝盖和髋关节上方的标记可以相对于骨架移动10-30mm,这对计算的膝关节运动学的准确性产生显着影响(Cappozzo等,1996,Manal等,2000 )。已经开发了几种方法来从标记位置计算膝关节运动学并减少由皮肤运动导致的错误。 Helen Hayes方法使用附着在皮肤上的标记通过解剖标志性地标,并在魔杖上计算臀部,膝关节和踝关节的位置(Vaughan等,1999)。然后可以基于人体测量相关性来计算大腿和柄段的位置和取向。其他方法,例如由克利夫兰诊所开发的方法,记录股骨和胫骨的位置使用附着在每个段附着的标记(Manal等,2000)。另外,使用附加到每个段的标记集群开发了点簇技术,以减少皮肤运动的错误(Andriacchi等,1998)。本研究的目的是评估用Helen Hayes,克利夫兰诊所和点集群技术方法计算的膝关节运动学随机误差对膝关节运动学的影响。将模拟的皮肤运动引入与已知的膝关节运动学相对应的标记位置,并且确定了计算的膝关节旋转的所得误差和翻译。利用克利夫兰诊所方法获得的膝关节运动学误差被假设是由于近距离标记间距而最大的。良好的分散标记,例如海伦海眠和点聚类技术方法的标记,减少了在计算的段位置和方向误差上的标记位置误差(Cappozzo Etal。,1997)。

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