首页> 外文会议>ASME(American Society of Mechanical Engineers) International Mechanical Engineering Congress: Advances in Bioengineering; 20031115-20031121; Washington,DC; US >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:随机皮肤运动对带有表面标记计算的膝关节运动的影响:三种标记集的比较

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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:由于皮肤上的标记与下面的骨骼之间的相对运动,使用表面标记来计算椎间盘关节的运动学会出错。已经证明,放置在膝盖和髋关节上的标记可以相对于骨骼移动10-30 mm,这可能对计算出的膝盖运动学的准确性产生重大影响(Cappozzo等,1996; Manal等,2000)。 )。已经开发了几种方法来从标记位置计算膝盖运动学并减少由于皮肤运动而引起的误差。海伦·海斯(Helen Hayes)方法使用附着在解剖标志物和魔杖上的皮肤上的标记来计算髋,膝和踝关节的位置(Vaughan等,1999)。大腿和小腿部分的位置和方向然后可以基于人体测量的相关性来计算。其他方法,例如克利夫兰诊所开发的方法,使用附着在每个节段上的三联标记来记录股骨和胫骨的位置(Manal等,2000)。此外,使用附着在每个节段上的标记簇来开发点簇技术,以减少皮肤运动带来的误差(Andriacchi等,1998)。这项研究的目的是评估使用Helen Hayes,Cleveland Clinic和Point Cluster Technology方法计算的标记位置随机误差对膝盖运动学的影响。将模拟的皮肤运动引入对应于已知膝盖运动学的标记位置,并确定计算出的膝盖旋转和平移的结果误差。克利夫兰诊所方法得出的膝盖运动学误差被认为是最大的,原因是标记间距很近。分散良好的标记(例如Helen Hayes和点聚类技术方法的标记)可减少标记位置错误对计算出的片段位置和方向错误的影响(Cappozzo等,1997)。

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