Department of Orthopaedic Surgery, Harvard Medical School, Boston, MA, USA.
Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, 330 Brookline Ave, RN119, Boston, MA, 02215, USA.
Ann Biomed Eng. 2023 Oct;51(10):2313-2322. doi: 10.1007/s10439-023-03273-3. Epub 2023 Jun 23.
Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adults (mean = 65 years, SD = 9) lifted a crate weighted to 10% of their body mass in axial rotation, 2-handed sagittal lift, 1-handed sagittal lift, and lateral bending, and simulated a window opening task. EMG measurements of back and abdominal muscles were directly compared to equivalent model-predicted activity for temporal similarity via maximum absolute normalized cross-correlation (MANCC) coefficients and for magnitude differences via root-mean-square errors (RMSE), across all combinations of participants, dynamic tasks, and muscle groups. We found that across most of the tasks the model reasonably predicted temporal behavior of back extensor muscles (median MANCC = 0.92 ± 0.07) but moderate temporal similarity was observed for abdominal muscles (median MANCC = 0.60 ± 0.20). Activation magnitude was comparable to previous modeling studies, and median RMSE was 0.18 ± 0.08 for back extensor muscles. Overall, these results indicate that our thoracolumbar spine model can be used to estimate subject-specific in vivo muscular activations for these dynamic lifting tasks.
肌肉骨骼模型可以独特地估计体内需求和损伤风险。在这项研究中，我们旨在比较五个动态任务中来自特定于个体的胸腰椎脊柱 OpenSim 模型的肌肉激活与肌电图 (EMG) 记录的肌肉活动。具体来说，11 名老年人（平均年龄 = 65 岁，标准差 = 9）在轴向旋转、双手矢状面提起、单手矢状面提起和侧屈时提起一个相当于其体重 10%的箱子，并模拟了一个开窗任务。通过最大绝对归一化互相关 (MANCC) 系数，对背部和腹部肌肉的 EMG 测量值与等效模型预测的活动在时间上的相似性进行直接比较，通过均方根误差 (RMSE) 对幅度差异进行比较，涉及所有参与者、动态任务和肌肉群的所有组合。我们发现，在大多数任务中，模型都合理地预测了背部伸肌的时间行为（中位数 MANCC = 0.92 ± 0.07），但腹部肌肉的时间相似性适中（中位数 MANCC = 0.60 ± 0.20）。激活幅度与之前的建模研究相当，背部伸肌的中位数 RMSE 为 0.18 ± 0.08。总的来说，这些结果表明，我们的胸腰椎脊柱模型可用于估计这些动态举重任务中特定于个体的体内肌肉激活。
