Brambilla Cristina, Beltrame Giulia, Marino Giorgia, Lanzani Valentina, Gatti Roberto, Portinaro Nicola, Molinari Tosatti Lorenzo, Scano Alessandro
Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing (STIIMA), Italian Council of National Research (CNR), 20133 Milan, Italy.
Residency Program in Orthopedics and Traumatology, Universitá degli Studi di Milano, 20122 Milan, Italy.
Biology (Basel). 2024 May 4;13(5):321. doi: 10.3390/biology13050321.
Walking is one of the main activities of daily life and gait analysis can provide crucial data for the computation of biomechanics in many fields. In multiple applications, having reference data that include a variety of gait conditions could be useful for assessing walking performance. However, limited extensive reference data are available as many conditions cannot be easily tested experimentally. For this reason, a musculoskeletal model in OpenSim coupled with gait data (at seven different velocities) was used to simulate seven carried loads and all the combinations between the two parameters. The effects on lower limb biomechanics were measured with torque, power, and mechanical work. The results demonstrated that biomechanics was influenced by both speed and load. Our results expand the previous literature: in the majority of previous work, only a subset of the presented conditions was investigated. Moreover, our simulation approach provides comprehensive data that could be useful for applications in many areas, such as rehabilitation, orthopedics, medical care, and sports.
行走是日常生活的主要活动之一,步态分析可为许多领域的生物力学计算提供关键数据。在多个应用中,拥有包含各种步态条件的参考数据对于评估行走性能可能很有用。然而,由于许多条件难以通过实验轻松测试,可用的广泛参考数据有限。因此,使用OpenSim中的肌肉骨骼模型结合步态数据(七种不同速度)来模拟七种携带负荷以及这两个参数之间的所有组合。通过扭矩、功率和机械功来测量对下肢生物力学的影响。结果表明,生物力学受速度和负荷两者的影响。我们的结果扩展了先前的文献:在大多数先前的工作中,仅研究了所呈现条件的一个子集。此外,我们的模拟方法提供了全面的数据,可用于康复、骨科、医疗护理和体育等许多领域的应用。