Between-session reliability of subject-specific musculoskeletal models of the spine derived from optoelectronic motion capture data.
Between-session reliability of subject-specific musculoskeletal models of the spine derived from optoelectronic motion capture data.
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DOI：
10.1016/j.jbiomech.2020.110044
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发表时间：
2020-11-09
影响因子：
2.4
通讯作者：
Anderson DE
中科院分区：
文献类型：
--
作者：
Burkhart K;Grindle D;Bouxsein ML;Anderson DE
本研究评估了使用光电运动捕捉数据创建特定于受试者的肌肉骨骼模型的会话间可靠性，并使用它们来估计脊柱负荷。19名年龄在24-74岁之间的健康参与者在两个不同的场合进行了相同的测量。将反光标记放置在解剖区域，包括C7、T1、T4、T5、T8、T9、T12和L1棘突、骨盆、上肢和下肢以及头部。我们创建了具有详细胸腰椎脊柱的全身肌肉骨骼模型，并缩放这些模型以创建针对每个个体和每个会话的特定对象模型。根据标记之间的距离对模型进行缩放，并根据标记估计的测量值调整脊柱曲率。使用这些模型，我们估计了五种不同标准化姿势的椎体压缩载荷：中立站立、45°躯干屈曲、15°躯干伸展、20°向右外侧弯曲和45°向右轴向旋转。组内相关系数（ICC）和测量的标准误分别作为会话间的可靠性和测量误差的措施。脊柱曲率测量显示出极好的可靠性（ICC= 0.79-0.91），身体缩放节段显示出一般至极好的可靠性（ICC = 0.46-0.95）。我们发现，肌肉骨骼模型在估计脊柱负荷方面表现出了很好的会话间可靠性，91%的ICC值> 0.75。该信息是使用运动捕捉数据从特定于受试者的肌肉骨骼模型估计脊柱负荷的必要前提，并且表明标记数据将提供可再现的特定于受试者的模型和脊柱负荷的估计。
This study evaluated the between-session reliability of creating subject-specific musculoskeletal models with optoelectronic motion capture data, and using them to estimate spine loading. Nineteen healthy participants aged 24–74 years underwent the same set of measurements on two separate occasions. Retroreflective markers were placed on anatomical regions, including C7, T1, T4, T5, T8, T9, T12 and L1 spinous processes, pelvis, upper and lower limbs, and head. We created full-body musculoskeletal models with detailed thoracolumbar spines, and scaled these to create subject-specific models for each individual and each session. Models were scaled from distances between markers, and spine curvature was adjusted according to marker-estimated measurements. Using these models, we estimated vertebral compressive loading for five different standardized postures: neutral standing, 45° trunk flexion, 15° trunk extension, 20° lateral bend to the right, and 45° axial rotation to the right. Intraclass correlation coefficients (ICCs) and standard error of measurement were calculated as measures of between-session reliability and measurement error, respectively. Spine curvature measures showed excellent reliability (ICC= 0.79–0.91) and body scaling segments showed fair to excellent reliability (ICC = 0.46–0.95). We found that musculoskeletal models showed mostly excellent between-session reliability to estimate spine loading, with 91% of ICC values > 0.75 for all activities. This information is a necessary precursor for using motion capture data to estimate spine loading from subject-specific musculoskeletal models, and suggests that marker data will deliver reproducible subject-specific models and estimates of spine loading.
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影响因子：
3.7
作者：
Grindle DM;Mousavi SJ;Allaire BT;White AP;Anderson DE
通讯作者：
Anderson DE
影响因子：
2.4
作者：
Peng, Junfeng;Panda, Jules;Wang, Xuguang
通讯作者：
Wang, Xuguang
DOI：
10.1115/1.4030408
发表时间：
2015-08-01
影响因子：
1.7
作者：
Bruno, Alexander G.;Bouxsein, Mary L.;Anderson, Dennis E.
通讯作者：
Anderson, Dennis E.
影响因子：
1.4
作者：
Kainz, Hans;Hoang, Hoa X.;Carty, Christopher P.
通讯作者：
Carty, Christopher P.
影响因子：
--
作者：
Cooper, Kay;Alexander, Lyndsay;Smith, Francis W.
通讯作者：
Smith, Francis W.