Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke
Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke
复制标题
DOI：
10.1155/2014/321747
复制
发表时间：
2014-01-01
影响因子：
1.5
通讯作者：
Higginson, Jill S.
中科院分区：
文献类型：
--
作者：
Knarr, Brian A.;Reisman, Darcy S.;Higginson, Jill S.
肌肉无力常见于中风后的个体，其特征是最大意志收缩期间力量较低。在评估个人表现和中风后康复反应时，准确量化肌肉无力至关重要。本研究的目的是检查在使用中风后个体的肌肉骨骼模型时，受试者特定的肌肉力量和激活缺陷对预测肌肉协调的影响。通过突发叠加，获得了四名中风后患者在不同步行速度下的瘫痪跖屈肌、背屈肌和股四头肌群的最大发力能力和中枢激活率。为每个受试者创建了两个模型：一个具有通用模型，另一个具有受试者特定的激活和最大等长力参数。纳入受试者特定的肌肉数据导致模型预测的肌肉力量和激活发生变化，这与之前报告的补偿模式一致，并且更接近地匹配足底屈肌和腿筋肌肉的肌电图计时。这是第一项利用受试者特定的肌肉力量和激活数据对中风后个体进行肌肉骨骼模拟的研究。这项研究的结果表明，受试者特定的肌肉力量和激活数据增强了肌肉骨骼模拟准确预测中风后个体肌肉协调的能力。
Muscle weakness is commonly seen in individuals after stroke, characterized by lower forces during a maximal volitional contraction. Accurate quantification of muscle weakness is paramount when evaluating individual performance and response to after stroke rehabilitation. The objective of this studywas to examine the effect of subject-specificmuscle force and activation deficits on predicted muscle coordination when using musculoskeletal models for individuals after stroke. Maximum force generating ability and central activation ratio of the paretic plantar flexors, dorsiflexors, and quadriceps muscle groups were obtained using burst superimposition for four individuals after strokewith a range ofwalking speeds. Twomodelswere created per subject: onewith generic and one with subject-specific activation andmaximumisometric force parameters. The inclusion of subject-specificmuscle data resulted in changes in the model-predicted muscle forces and activations which agree with previously reported compensation patterns and match more closely the timing of electromyography for the plantar flexor and hamstring muscles. This was the first study to create musculoskeletal simulations of individuals after stroke with subject-specific muscle force and activation data. The results of this study suggest that subject-specificmuscle force and activation data enhance the ability of musculoskeletal simulations to accurately predict muscle coordination in individuals after stroke.