Relating Underlying Performance Objectives of Overground Walking to Observable Walking Mechanics using Predictive Musculoskeletal Simulations
Relating Underlying Performance Objectives of Overground Walking to Observable Walking Mechanics using Predictive Musculoskeletal Simulations
复制标题
使用预测性肌肉骨骼模拟将地面步行的基本性能目标与可观察的步行力学联系起来
DOI:
10.1109/icorr55369.2022.9896553
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Fey, Nicholas P.
中科院分区:
文献类型:
--
作者:
Li, Wentao;Fey, Nicholas P.
There exists motor redundancy during human gait that allows individuals to perform the same task in different observable ways (i.e., with varied styles). However, how differences in observable walking mechanics depend on unique and underlying biomechanical objectives is unclear. As an example, these objectives could include metabolic energy consumption, sum of muscle activations, limb mechanical loading, balance and combinations thereof. In this study, we develop predictive neuromuscular simulations to investigate the relationships between these biomechanical objectives and observable mechanics during level walking. We simulated 3D normal walking of five healthy subjects, while optimizing each of the aforementioned objectives-resulting in 25 forward dynamics simulations for analysis. We compared the resulting joint kinematics and moments of different simulations. One of main findings suggests that decreased hip abduction angle is tightly related to when the regulation of dynamic balance (computed as whole-body angular momentum) is included in a movement cost function. We also find that increased joint moments are related to including metabolic cost (i.e., objectives associated with improving the energy economy of movement). Further, the timing of joint kinematics is adjusted for different performance objectives. These findings could guide the development of rehabilitation training and assistive devices that target specific individuals, tasks, and specific styles of movement.
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DOI:
--
发表时间:
2021
期刊:
bioRxiv
影响因子:
--
作者:
Stephen A. Antos;Konrad Paul Kording;K. Gordon
通讯作者:
K. Gordon
影响因子:
2.1
作者:
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DOI:
--
发表时间:
2018
期刊:
Journal of Physiology
影响因子:
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通讯作者:
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DOI:
--
发表时间:
2021
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
作者:
Wentao Li;Nicholas P. Fey
通讯作者:
Nicholas P. Fey
DOI:
10.1109/tnsre.2019.2924536
发表时间:
2019-08-01
影响因子:
4.9
作者:
Serrancoli, Gil;Falisse, Antoine;De Groote, Friedl
通讯作者:
De Groote, Friedl