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Adjusting kinematics and kinetics in a feedback-controlled toe walking model

机译:在反馈控制的脚趾行走模型中调整运动学和动力学

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Background In clinical gait assessment, the correct interpretation of gait kinematics and kinetics has a decisive impact on the success of the therapeutic programme. Due to the vast amount of information from which primary anomalies should be identified and separated from secondary compensatory changes, as well as the biomechanical complexity and redundancy of the human locomotion system, this task is considerably challenging and requires the attention of an experienced interdisciplinary team of experts. The ongoing research in the field of biomechanics suggests that mathematical modeling may facilitate this task. This paper explores the possibility of generating a family of toe walking gait patterns by systematically changing selected parameters of a feedback-controlled model. Methods From the selected clinical case of toe walking we identified typical toe walking characteristics and encoded them as a set of gait-oriented control objectives to be achieved in a feedback-controlled walking model. They were defined as fourth order polynomials and imposed via feedback control at the within-step control level. At the between-step control level, stance leg lengthening velocity at the end of the single support phase was adaptively adjusted after each step so as to facilitate gait velocity control. Each time the gait velocity settled at the desired value, selected intra-step gait characteristics were modified by adjusting the polynomials so as to mimic the effect of a typical therapeutical intervention - inhibitory casting. Results By systematically adjusting the set of control parameters we were able to generate a family of gait kinematic and kinetic patterns that exhibit similar principal toe walking characteristics, as they were recorded by means of an instrumented gait analysis system in the selected clinical case of toe walking. We further acknowledge that they to some extent follow similar improvement tendencies as those which one can identify in gait kinematics and kinetics in the selected clinical case after inhibitory casting. Conclusions The proposed walking model that is based on a two-level control strategy has the ability to generate different gait kinematics and kinetics when the set of control parameters that define walking premises change. Such a framework does not have only educational value, but may also prove to have practical implications in pathological gait diagnostics and treatment.
机译:背景技术在临床步态评估中,对步态运动学和动力学的正确解释对治疗方案的成功具有决定性的影响。由于应从大量信息中识别出主要异常并将其与次要补偿性变化区分开来,以及人类运动系统的生物力学复杂性和冗余性,这项任务相当具有挑战性,需要经验丰富的跨学科团队的关注专家。生物力学领域中正在进行的研究表明,数学建模可以促进这一任务。本文探讨了通过系统地更改反馈控制模型的选定参数来生成脚趾行走步态模式族的可能性。方法从选定的脚趾走路临床病例中,我们识别出典型的脚趾走路特征,并将其编码为在反馈控制的步行模型中要实现的一组步态导向控制目标。它们被定义为四阶多项式,并通过步内控制级别的反馈控制进行施加。在步间控制水平上,在每个步骤后自适应地调整单个支撑阶段结束时的站姿腿延长速度,以方便步态速度控制。每次步态速度稳定在所需值时,都会通过调整多项式来修改选定的步内步态特征,以模仿典型的治疗性干预措施-抑制性铸造。结果通过系统地调整控制参数集,我们能够生成一系列表现出相似主要脚趾行走特征的步态运动学和动力学模式,这是通过在选定的脚趾行走临床病例中通过仪器化的步态分析系统进行记录的方式。我们进一步认识到,它们在某种程度上遵循了与在抑制性铸造后所选临床病例中可以在步态运动学和动力学中发现的相似的改善趋势。结论基于两级控制策略的拟议步行模型在定义步行场所的一组控制参数发生变化时具有生成不同步态运动学和动力学的能力。这样的框架不仅具有教育价值,而且可能在病理性步态诊断和治疗中具有实际意义。

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