Matias Ricardo, Andrade Carlos, Veloso António Prieto
Faculty of Human Kinetics, Technical University of Lisbon, Portugal.
J Biomech. 2009 Feb 9;42(3):331-5. doi: 10.1016/j.jbiomech.2008.11.027. Epub 2009 Jan 10.
In order to create musculoskeletal models that can be scalable to different subject specificities the calculation of the exact locations of muscle attachment is required. For this purpose, a scaling method is presented that estimates muscle attachment locations in homologous segments using three bony landmarks per segment. A data-set of 17 muscles' attachment lines from the shoulders of seven cadavers was used to assess the estimation quality of the scaling method. By knowing from the cadaver data the measured location of the muscles' attachment lines it is possible to assess the quality of the estimated ones. The scaling results showed an overall mean RMSE for the scapula and humerus muscles of 7.6 and 11.1mm, respectively. These results were then analyzed with an upper extremity model, in order to compute the influence of the RMSE in glenohumeral elevation muscle moment arms in the scapular plane. The results presented were considered to be satisfactory. Among other error contributors, the inter- and intra-subject variability should be further investigated, along with the sensitivity of a biomechanical model to these error variations.
为了创建能够扩展到不同个体特异性的肌肉骨骼模型,需要计算肌肉附着的确切位置。为此,提出了一种缩放方法,该方法使用每个节段的三个骨性标志来估计同源节段中的肌肉附着位置。使用来自七具尸体肩部的17条肌肉附着线的数据集来评估缩放方法的估计质量。通过从尸体数据中了解肌肉附着线的测量位置,可以评估估计位置的质量。缩放结果显示,肩胛骨和肱骨肌肉的总体平均均方根误差(RMSE)分别为7.6毫米和11.1毫米。然后使用上肢模型对这些结果进行分析,以计算RMSE对肩胛平面内盂肱关节抬高肌肉力臂的影响。所呈现的结果被认为是令人满意的。在其他误差因素中,个体间和个体内的变异性以及生物力学模型对这些误差变化的敏感性应进一步研究。