一种新型模块化神经假体,适用于 FES-机器人混合应用和定制辅助。

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Javier Gil-Castillo, Diana Herrera-Valenzuela, Diego Torricelli, Ángel Gil-Agudo, Eloy Opisso, Joan Vidal, Josep M Font-Llagunes, Antonio J Del-Ama, Juan C Moreno
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引用次数: 0

摘要

背景:为了克服功能性电刺激(FES)在应用上的局限性,如疲劳或非线性肌肉反应,人们对神经假体系统与机器人设备的结合进行了评估,结果发现混合系统具有很大的潜力。然而,目前的技术缺乏灵活性,无法适应任何应用、环境或个人的需求。本研究的主要目的是开发一种适用于 FES 与机器人混合应用的新型模块化神经假体系统,以满足这些需求:在这项研究中,我们分析了开发混合 FES 机器人系统的要求,并查阅了有关类似系统的现有文献。在此基础上,我们开发了一种专为混合应用定制的新型模块化神经假体系统。该系统专门用于步态辅助,并根据临床标准设计了一套技术个性化流程。这一过程被用来生成不同的系统配置,以适应四名脊髓损伤或中风患者。使用重复测量方差分析或弗里德曼检验分析了每种系统配置对步态运动学指标的影响:开发出的模块化 NP 系统具有灵活性、可扩展性和个性化的特点。该系统具有出色的连接特性,可与机器人设备有效集成。其三维设计便于作为独立系统或与其他机器人设备组合使用。此外,它还采用了适当的安全协议,符合严格的安全使用要求,并具有适当的电池续航能力、重量和尺寸。根据每位患者的需求进行了不同的技术配置,对运动步态模式的影响与文献中报道的其他设备相当:结论:该系统满足了已确定的技术要求,与文献报道的系统相比取得了进步。此外,该系统还展示了其多功能性和与机器人设备结合形成混合体的能力,能很好地适应步态应用。此外,个性化程序被证明有助于获得适合个人不同需求的各种系统配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new modular neuroprosthesis suitable for hybrid FES-robot applications and tailored assistance.

Background: To overcome the application limitations of functional electrical stimulation (FES), such as fatigue or nonlinear muscle response, the combination of neuroprosthetic systems with robotic devices has been evaluated, resulting in hybrid systems that have promising potential. However, current technology shows a lack of flexibility to adapt to the needs of any application, context or individual. The main objective of this study is the development of a new modular neuroprosthetic system suitable for hybrid FES-robot applications to meet these needs.

Methods: In this study, we conducted an analysis of the requirements for developing hybrid FES-robot systems and reviewed existing literature on similar systems. Building upon these insights, we developed a novel modular neuroprosthetic system tailored for hybrid applications. The system was specifically adapted for gait assistance, and a technological personalization process based on clinical criteria was devised. This process was used to generate different system configurations adjusted to four individuals with spinal cord injury or stroke. The effect of each system configuration on gait kinematic metrics was analyzed by using repeated measures ANOVA or Friedman's test.

Results: A modular NP system has been developed that is distinguished by its flexibility, scalability and personalization capabilities. With excellent connection characteristics, it can be effectively integrated with robotic devices. Its 3D design facilitates fitting both as a stand-alone system and in combination with other robotic devices. In addition, it meets rigorous requirements for safe use by incorporating appropriate safety protocols, and features appropriate battery autonomy, weight and dimensions. Different technological configurations adapted to the needs of each patient were obtained, which demonstrated an impact on the kinematic gait pattern comparable to that of other devices reported in the literature.

Conclusions: The system met the identified technical requirements, showcasing advancements compared to systems reported in the literature. In addition, it demonstrated its versatility and capacity to be combined with robotic devices forming hybrids, adapting well to the gait application. Moreover, the personalization procedure proved to be useful in obtaining various system configurations tailored to the diverse needs of individuals.

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来源期刊
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation 工程技术-工程:生物医学
CiteScore
9.60
自引率
3.90%
发文量
122
审稿时长
24 months
期刊介绍: Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.
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