Suppr超能文献

验证正向模拟预测双侧跖屈肌无力对步态影响的效果。

Validation of forward simulations to predict the effects of bilateral plantarflexor weakness on gait.

机构信息

Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, de Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam UMC, University of Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Meibergdreef 9, Amsterdam, the Netherlands.

Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, de Boelelaan 1117, Amsterdam, the Netherlands; School of Allied Health Sciences, Griffith University, Gold Coast, Australia; Gold Coast Centre for Orthopaedic Research, Engineering and Education (GCORE), Menzies Health Institute Queensland, and Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, Australia.

出版信息

Gait Posture. 2021 Jun;87:33-42. doi: 10.1016/j.gaitpost.2021.04.020. Epub 2021 Apr 18.

Abstract

BACKGROUND

Bilateral plantarflexor muscle weakness is a common impairment in many neuromuscular diseases. However, the way in which severity of plantarflexor weakness affects gait in terms of walking energy cost and speed is not fully understood. Predictive simulations are an attractive alternative to human experiments as simulations allow systematic alterations in muscle weakness. However, simulations of pathological gait have not yet been validated against experimental data, limiting their applicability.

RESEARCH QUESTION

Our first aim was to validate a predictive simulation framework for walking with bilateral plantarflexor weakness by comparing predicted gait against experimental gait data of patients with bilateral plantarflexor weakness. Secondly, we aimed to evaluate how incremental levels of bilateral plantarflexor weakness affect gait.

METHODS

We used a planar musculoskeletal model with 9 degrees of freedom and 9 Hill-type muscle-tendon units per leg. A state-dependent reflex-based controller optimized for a function combining energy cost, muscle activation squared and head acceleration was used to simulate gait. For validation, strength of the plantarflexors was reduced by 80 % and simulated gait compared with experimental data of 16 subjects with bilateral plantarflexor weakness. Subsequently, strength of the plantarflexors was reduced stepwise to evaluate its effect on gait kinematics and kinetics, walking energy cost and speed.

RESULTS

Simulations with 80 % weakness matched well with experimental hip and ankle kinematics and kinetics (R > 0.64), but less for knee kinetics (R < 0.55). With incremental strength reduction, especially beyond a reduction of 60 %, the maximal ankle moment and power decreased. Walking energy cost and speed showed a strong quadratic relation (R>0.82) with plantarflexor strength.

SIGNIFICANCE

Our simulation framework predicted most gait changes due to bilateral plantarflexor weakness, and indicates that pathological gait features emerge especially when bilateral plantarflexor weakness exceeds 60 %. Our framework may support future research into the effect of pathologies or assistive devices on gait.

摘要

背景

双侧跖屈肌无力是许多神经肌肉疾病的常见障碍。然而,跖屈肌无力的严重程度如何影响步态,包括行走能量消耗和速度,目前还不完全清楚。预测模拟是一种替代人体实验的有吸引力的方法,因为模拟允许系统地改变肌肉无力。然而,病理性步态的模拟尚未经过实验数据的验证,限制了其适用性。

研究问题

我们的第一个目标是通过将预测的步态与双侧跖屈肌无力患者的实验步态数据进行比较,来验证用于模拟双侧跖屈肌无力行走的预测性模拟框架。其次,我们旨在评估双侧跖屈肌无力的递增水平如何影响步态。

方法

我们使用了一个具有 9 个自由度和 9 个基于 Hill 型肌肉-肌腱单元的平面运动学模型。使用基于状态的反射控制器来优化结合能量消耗、肌肉激活平方和头部加速度的函数,以模拟步态。为了验证,将跖屈肌的强度降低 80%,并将模拟的步态与 16 名双侧跖屈肌无力患者的实验数据进行比较。随后,逐步降低跖屈肌的强度,以评估其对步态运动学和动力学、行走能量消耗和速度的影响。

结果

80%的肌肉无力模拟与实验髋关节和踝关节运动学和动力学(R > 0.64)非常匹配,但膝关节动力学(R < 0.55)的匹配度较低。随着肌肉力量的逐渐减弱,尤其是在降低 60%以上后,踝关节的最大力矩和功率降低。行走能量消耗和速度与跖屈肌力量呈强二次关系(R > 0.82)。

意义

我们的模拟框架预测了由于双侧跖屈肌无力导致的大多数步态变化,并表明病理性步态特征尤其在双侧跖屈肌无力超过 60%时出现。我们的框架可能支持未来关于病理学或辅助设备对步态影响的研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验