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A Microcontroller Platform for the Rapid Prototyping of Functional Electrical Stimulation-Based Gait Neuroprostheses

机译:基于功能性电刺激的步态神经假肢的快速原型制作的微控制器平台

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摘要

Functional electrical stimulation (FES) has been used over the last decades as a method to rehabilitate lost motor functions of individuals with spinal cord injury, multiple sclerosis, and post-stroke hemiparesis. Within this field, researchers in need of developing FES-based control solutions for specific disabilities often have to choose between either the acquisition and integration of high-performance industry-level systems, which are rather expensive and hardly portable, or develop custom-made portable solutions, which despite their lower cost, usually require expert-level electronic skills. Here, a flexible low-cost microcontroller-based platform for rapid prototyping of FES neuroprostheses is presented, designed for reduced execution complexity, development time, and production cost. For this reason, the Arduino open-source microcontroller platform was used, together with off-the-shelf components whenever possible. The developed system enables the rapid deployment of portable FES-based gait neuroprostheses, being flexible enough to allow simple open-loop strategies but also more complex closed-loop solutions. The system is based on a modular architecture that allows the development of optimized solutions depending on the desired FES applications, even though the design and testing of the platform were focused toward drop foot correction. The flexibility of the system was demonstrated using two algorithms targeting drop foot condition within different experimental setups. Successful bench testing of the device in healthy subjects demonstrated these neuroprosthesis platform capabilities to correct drop foot.
机译:在过去的几十年中,功能性电刺激(FES)被用作恢复患有脊髓损伤,多发性硬化症和中风后偏瘫的个体丧失运动功能的方法。在这一领域,需要为特殊残疾开发基于FES的控制解决方案的研究人员通常必须在购置和集成昂贵且难以携带的高性能工业级系统之间进行选择,或者开发定制的便携式解决方案尽管成本较低,但通常需要专家级的电子技能。在此,提出了一种用于FES神经假体快速原型制作的灵活,低成本,基于微控制器的平台,旨在降低执行复杂性,开发时间和生产成本。因此,尽可能使用Arduino开源微控制器平台以及现成的组件。开发的系统能够快速部署基于FES的便携式步态神经假肢,具有足够的灵活性以允许简单的开环策略以及更复杂的闭环解决方案。该系统基于模块化体系结构,即使平台的设计和测试都集中在落脚校正上,该系统仍可以根据所需的FES应用程序开发优化的解决方案。使用针对不同实验设置中的落脚条件的两种算法证明了系统的灵活性。在健康受试者中对该设备进行成功的台架测试,证明了这些神经假体平台能够纠正脚下垂。

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