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基于神经机械力的动力假肢足部控制

Neuromechanical force-based control of a powered prosthetic foot.

作者信息

Naseri Amirreza, Grimmer Martin, Seyfarth André, Ahmad Sharbafi Maziar

机构信息

Department of Mechanical Engineering, Tarbiat Modares University, Jalal al-Ahmad, Nasr, Tehran, Iran.

Lauflabor Locomotion Lab, Institute of Sport Science, Centre for Cognitive Science, Technische Universitat Darmstadt, Darmstadt, Germany.

出版信息

Wearable Technol. 2020 Oct 23;1:e6. doi: 10.1017/wtc.2020.6. eCollection 2020.

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.

摘要

本文提出了一种名为FMCA(力调制顺应性踝关节)的基于神经机械力的新型控制策略,用于控制动力假肢足部。FMCA基于感官反馈来调制扭矩,类似于神经肌肉控制方法。FMCA不是采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官反馈来调制踝关节阻抗。为了进行评估,我们首先展示了FMCA如何针对不同步行速度预测类似人类的踝关节扭矩。其次,我们在一个经胫神经肌肉截肢者行走模拟模型中实施了FMCA,以验证该方法是否可用于实现稳定行走,并将其性能与已用于动力踝关节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,具有足够的蹬离力,能够提供稳定行走。第三,为了评估FMCA在以优选速度行走时生成类似人类踝关节生物力学的能力,我们在动力假肢足部中实施了该策略,并对一名非截肢受试者进行了实验。结果证实,对于该受试者,FMCA可用于模拟非截肢者的参考踝关节扭矩和参考踝关节角度。本研究结果支持了一种新的生物启发式控制方法在协助截肢者方面的适用性和优势。未来的实验应研究其在其他步行速度下的适用性以及对目标人群的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7216/11265316/f2551fd1c718/S2631717620000067_fig1.jpg

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