Soft ankle exoskeleton to counteract dropfoot and excessive inversion.

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Neurorobotics Pub Date : 2024-08-21 eCollection Date: 2024-01-01 DOI:10.3389/fnbot.2024.1372763
Xiaochen Zhang, Yi-Xing Liu, Ruoli Wang, Elena M Gutierrez-Farewik
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引用次数: 0

Abstract

Introduction: Wearable exoskeletons are emerging technologies for providing movement assistance and rehabilitation for people with motor disorders. In this study, we focus on the specific gait pathology dropfoot, which is common after a stroke. Dropfoot makes it difficult to achieve foot clearance during swing and heel contact at early stance and often necessitates compensatory movements.

Methods: We developed a soft ankle exoskeleton consisting of actuation and transmission systems to assist two degrees of freedom simultaneously: dorsiflexion and eversion, then performed several proof-of-concept experiments on non-disabled persons. The actuation system consists of two motors worn on a waist belt. The transmission system provides assistive force to the medial and lateral sides of the forefoot via Bowden cables. The coupling design enables variable assistance of dorsiflexion and inversion at the same time, and a force-free controller is proposed to compensate for device resistance. We first evaluated the performance of the exoskeleton in three seated movement tests: assisting dorsiflexion and eversion, controlling plantarflexion, and compensating for device resistance, then during walking tests. In all proof-of-concept experiments, dropfoot tendency was simulated by fastening a weight to the shoe over the lateral forefoot.

Results: In the first two seated tests, errors between the target and the achieved ankle joint angles in two planes were low; errors of <1.5° were achieved in assisting dorsiflexion and/or controlling plantarflexion and of <1.4° in assisting ankle eversion. The force-free controller in test three significantly compensated for the device resistance during ankle joint plantarflexion. In the gait tests, the exoskeleton was able to normalize ankle joint and foot segment kinematics, specifically foot inclination angle and ankle inversion angle at initial contact and ankle angle and clearance height during swing.

Discussion: Our findings support the feasibility of the new ankle exoskeleton design in assisting two degrees of freedom at the ankle simultaneously and show its potential to assist people with dropfoot and excessive inversion.

柔软的踝关节外骨骼可抵御足下垂和过度内翻。
导言:可穿戴外骨骼是为运动障碍患者提供运动辅助和康复治疗的新兴技术。在本研究中,我们重点关注中风后常见的特殊步态病症--足下垂。足下垂使得在早期站立时很难在摆动和脚跟接触时实现足部间隙,往往需要进行代偿运动:方法:我们开发了一种软性踝关节外骨骼,由驱动和传输系统组成,可同时辅助两个自由度的运动:外翻和内翻,然后在非残疾人身上进行了几次概念验证实验。驱动系统由佩戴在腰带上的两个电机组成。传动系统通过鲍登电缆向前脚的内侧和外侧提供辅助力。耦合设计可同时实现背屈和内翻的可变辅助,并提出了一个无力控制器来补偿装置阻力。我们首先在三项坐姿运动测试中评估了外骨骼的性能:辅助外翻和内翻、控制跖屈和补偿装置阻力,然后在步行测试中评估了外骨骼的性能。在所有概念验证实验中,通过在鞋的前脚掌外侧固定重物来模拟垂足趋势:结果:在前两次坐姿测试中,目标踝关节角度与实际踝关节角度在两个平面上的误差较小;讨论:我们的研究结果证明了新型踝关节外骨骼设计同时辅助踝关节两个自由度的可行性,并显示了其辅助足下垂和过度内翻患者的潜力。
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
Frontiers in Neurorobotics
Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
CiteScore
5.20
自引率
6.50%
发文量
250
审稿时长
14 weeks
期刊介绍: Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
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