Begon M, Monnet T, Lacouture P
Laboratoire de Mécanique des Solides, UMR 6610 Faculté des Sciences de l'Université de Poitiers SP2MI, 86962 Futuroscope, Chasseneuil Cedex, France.
Gait Posture. 2007 Mar;25(3):353-9. doi: 10.1016/j.gaitpost.2006.04.010. Epub 2006 Jun 2.
Determination of the hip joint centre (HJC) using a functional approach requires access to the kinematics of various body postures. The present study aimed to determine the combined impact of the nature of the movement, its type and the number of cycles, on the accuracy of HJC estimation. Kinematics noise was modelled based on the deformation of hip and thigh clusters of seven subjects, while perfect ball-and-socket movements (used as reference) were calculated based on the movements of one of the subjects. The noise added to the reference kinematics allowed the simulation of 27 tests. Errors were defined as the Euclidean distance between the estimated and the reference HJC. A nested ANOVA and a multiple comparison procedures were performed on all errors. A test including 10 cycles of three different types of limited movements (flexion-extension, abduction-adduction and circumduction) yielded the greatest accuracy for estimating HJC (4.0+/-1.3 mm). Combining different types of movements allowed improving the accuracy. Given that noise increases as a function of the range of a motion, limited movements proved to be the most accurate; however, 10 cycles were required to achieve such results. For trials involving a single cycle, a large movement proved more efficient.
使用功能法确定髋关节中心(HJC)需要获取各种身体姿势的运动学数据。本研究旨在确定运动性质、运动类型和循环次数对HJC估计准确性的综合影响。基于七名受试者的髋部和大腿簇的变形对运动学噪声进行建模,而基于其中一名受试者的运动计算出完美的球窝运动(用作参考)。添加到参考运动学中的噪声允许模拟27次测试。误差定义为估计的HJC与参考HJC之间的欧几里得距离。对所有误差进行了嵌套方差分析和多重比较程序。一项包括三种不同类型有限运动(屈伸、内收外展和环转)各10个循环的测试在估计HJC时产生了最高的准确性(4.0±1.3毫米)。结合不同类型的运动可以提高准确性。鉴于噪声随运动范围的增加而增加,有限运动被证明是最准确的;然而,需要10个循环才能获得这样的结果。对于涉及单个循环的试验,大幅度运动被证明更有效。