A model-based approach for estimation of changes in lumbar segmental kinematics associated with alterations in trunk muscle forces.
A model-based approach for estimation of changes in lumbar segmental kinematics associated with alterations in trunk muscle forces.
复制标题
一种基于模型的方法,用于估计与躯干肌肉力量变化相关的腰椎节段运动学变化。
DOI:
10.1016/j.jbiomech.2017.09.024
复制
发表时间:
2018
影响因子:
2.4
通讯作者:
Bazrgari,Babak
中科院分区:
文献类型:
--
作者:
Shojaei,Iman;Arjmand,Navid;Meakin,JudithR;Bazrgari,Babak
The geometrical information from imaging, if combined with optimization-based methods of neuromuscular assessment, may provide a unique platform for personalized assessment of trunk neuromuscular behavior. Such a method, however, is feasible only if differences in lumbar spine kinematics due to differences in trunk neuromuscular behavior can be captured by the current imaging techniques. A finite element model of the spine within an optimization procedure was used to estimate segmental kinematics of lumbar spine associated with five different hypothetical trunk neuromuscular strategies (TNSs). Each TNS optimized one aspect of lower back biomechanics and was assumed to either represent the TNS of asymptomatic persons or a neuromuscular abnormality. For each TNS, the segmental kinematics of lumbar spine was estimated for a single static trunk flexed posture involving, respectively, 40° and 10° of thoracic and pelvic rotations. Minimum changes in the angular and translational deformations of a motion segment with alterations in TNS ranged from 0° to 0.5° and 0 mm to 0.04 mm, respectively. Maximum changes in the angular and translational deformations of a motion segment with alterations in neuromuscular strategy ranged from 2.4° to 7.5° and 0.11 mm to 0.39 mm, respectively. The differences in kinematics of lumbar segments between each combination of two TNSs in 97% of cases for angular deformation and 55% of cases for translational deformation were within the reported accuracy of current imaging techniques. Combined imaging and computational modeling appears to have potentials for predicting alterations in neuromuscular strategies.