Roosen Andy, Pain Matthew T G, Begon Mickaël
School of Sports and Exercise Sciences, Loughborough University, Loughborough, U.K.
J Appl Biomech. 2009 Nov;25(4):281-92. doi: 10.1123/jab.25.4.281.
Much research is ongoing into improving the accuracy of functional algorithms to determine joint centers (JC), but there has been limited testing using human movement data. This paper is in three parts: Part 1, errors in determining JCs from real human movement data using the SCoRE method; Part 2, variability of marker combinations during a punch; Part 3, variability in the JC due to reconstruction. Results indicate determining the JC of the shoulder or elbow with a triad of markers per segment with an accuracy greater than 20 mm is unlikely. Part 2 suggests conducting a pilot study with abundant markers to obtain triads, which are most stable due to differences of 300-400% in variability between triads. Variability due to the choice of reference frame for reconstruction during the punch ranged from 2.5 to 13.8 mm for the shoulder and 1.5 to 21.1 mm for the elbow. It would appear more pertinent to enhance the practical methods in situ than to further improve theoretical accuracy of functional methods.
目前正在进行大量研究以提高确定关节中心(JC)的功能算法的准确性,但使用人体运动数据进行的测试有限。本文分为三个部分:第一部分,使用SCoRE方法从真实人体运动数据中确定关节中心时的误差;第二部分,出拳过程中标记组合的变异性;第三部分,由于重建导致的关节中心变异性。结果表明,使用每段三个标记来确定肩部或肘部的关节中心,其精度不太可能超过20毫米。第二部分建议进行一项试点研究,使用大量标记来获取三联体,由于三联体之间的变异性相差300%-400%,所以三联体是最稳定的。出拳过程中,由于重建参考框架的选择导致的变异性,肩部为2.5至13.8毫米,肘部为1.5至21.1毫米。似乎增强现场实用方法比进一步提高功能方法的理论准确性更有意义。