Neuromechanical force-based control of a powered prosthetic foot.

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
Wearable technologies Pub Date : 2020-10-23 eCollection Date: 2020-01-01 DOI:10.1017/wtc.2020.6
Amirreza Naseri, Martin Grimmer, André Seyfarth, Maziar Ahmad Sharbafi
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引用次数: 0

Abstract

This article presents a novel neuromechanical force-based control strategy called FMCA (force modulated compliant ankle), to control a powered prosthetic foot. FMCA modulates the torque, based on sensory feedback, similar to neuromuscular control approaches. Instead of using a muscle reflex-based approach, FMCA directly exploits the vertical ground reaction force as sensory feedback to modulate the ankle joint impedance. For evaluation, we first demonstrated how FMCA can predict human-like ankle torque for different walking speeds. Second, we implemented the FMCA in a neuromuscular transtibial amputee walking simulation model to validate if the approach can be used to achieve stable walking and to compare the performance to a neuromuscular reflex-based controller that is already used in a powered ankle. Compared to the neuromuscular model-based approach, the FMCA is a simple solution with a sufficient push-off that can provide stable walking. Third, to assess the ability of the FMCA to generate human-like ankle biomechanics during walking at the preferred speed, we implemented this strategy in a powered prosthetic foot and performed experiments with a non-amputee subject. The results confirm that, for this subject, FMCA can be used to mimic the non-amputee reference ankle torque and the reference ankle angle. The findings of this study support the applicability and advantages of a new bioinspired control approach for assisting amputees. Future experiments should investigate the applicability to other walking speeds and the applicability to the target population.

动力假肢足的神经机械力控制
摘要本文提出了一种新的基于神经机械力的控制策略,称为FMCA(力调制柔性踝关节),用于控制动力假肢足。FMCA根据感觉反馈调节扭矩,类似于神经肌肉控制方法。FMCA不使用基于肌肉反射的方法,而是直接利用垂直地面反作用力作为感觉反馈来调节踝关节阻抗。为了评估,我们首先展示了FMCA如何预测不同行走速度下的类人踝关节扭矩。其次,我们在神经肌肉跨胫截肢者步行仿真模型中实现FMCA,以验证该方法是否可用于实现稳定行走,并将其性能与已经用于动力脚踝的基于神经肌肉反射的控制器进行比较。与基于神经肌肉模型的方法相比,FMCA是一种简单的解决方案,具有足够的推力,可以提供稳定的行走。第三,为了评估FMCA在以首选速度行走时产生类似人类踝关节生物力学的能力,我们在动力假肢足上实施了这一策略,并与非截肢者进行了实验。结果证实,对于该受试者,FMCA可以用来模拟非截肢者的参考踝关节扭矩和参考踝关节角度。这项研究的结果支持了一种新的生物启发控制方法在帮助截肢者方面的适用性和优势。未来的实验应该研究其他步行速度的适用性以及对目标人群的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
0.00%
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审稿时长
11 weeks
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