Instrumented Upper-Body Brace for Computerized Training of Muscle Control

Linda Vataksi, Sean Sanford, Mingxiao Liu, R. Nataraj
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Abstract

- Each year in the United States, over 2,000,000 individuals suffer from neuromuscular disorders that severely impair movement abilities. Physical therapy is the predominant option for rehabilitating motor function for these patients; however, traditional therapies often focus on physical training without greater cognitive engagement or leveraging of motor learning principles. As such, computerized interfaces for rehabilitation, such as virtual reality and robotics, are more promising given their natural approaches to motivate and provide enhanced feedback about performance while re-training motor skills. Our laboratory has prototyped an upper-extremity brace device integrated with a virtual reality environment for isometric training of improved muscle-level control of the upper-body for persons with motor disability. This research platform includes a position-adjustable restrictive upper-extremity brace instrumented with sensors for skin-surface electromyography (EMG, measure muscle activity) to control virtual avatars and vibration motors for haptic guidance cues during training. The core objective of this research is to adapt the current brace design to better include instrumentation elements (EMG sensors, vibration motors) onboard the brace towards an embodiment of this device that is self-contained and with greater commercial potential. Specifically, this project will focus on building the next version of this brace system that allows for custom-placement of affordable (not high-end research-grade) commercial EMG (Myoware) sensors at locations personally fitted to each participant. The Myoware sensors will be embedded onto the current upper-body restrictive brace through modular attachments based on designs developed in SolidWorks as presented in this paper. The SolidWorks design utilizes sliding mechanisms, screws, springs, and clamps to make the modular attachment more user-friendly and position adaptable in three dimensions. Embedding Myoware sensors onto the brace design replaces the need to tape research-grade (Delsys) sensors onto each participant to ensure flush and consistent contact with each participant arm for robust EMG measurements and reliable transfer of haptic feedback. Overall, these improved design implementations will result in a version of this device that is more affordable, easier to use, more customizable to each user, and facilitates greater portability. The potential customers and stakeholders would include not only patients, but also clinical support staff and telehealth companies. This versatile, advanced system for computerized rehabilitation will be valuable to any communities of neuromuscular disorders affecting upper-body function that benefit from motor rehabilitation.
用于肌肉控制计算机训练的器械上肢支架
在美国,每年有超过200万人患有严重损害运动能力的神经肌肉疾病。物理治疗是这些患者运动功能恢复的主要选择;然而,传统的治疗方法往往侧重于身体训练,而没有更多的认知参与或利用运动学习原理。因此,用于康复的计算机化界面,如虚拟现实和机器人技术,更有前途,因为它们在重新训练运动技能的同时,可以自然地激励和提供有关表现的增强反馈。我们的实验室制作了一个上肢支架设备的原型,该设备集成了一个虚拟现实环境,用于运动残疾人士改善上肢肌肉水平控制的等距训练。该研究平台包括一个位置可调的限制性上肢支架,该支架上装有用于皮肤表面肌电图(EMG,测量肌肉活动)的传感器,用于控制虚拟替身和振动马达,以在训练过程中提供触觉指导线索。这项研究的核心目标是调整目前的支架设计,使其更好地包括支架上的仪器元件(肌电传感器、振动电机),从而实现该设备的独立实现,并具有更大的商业潜力。具体来说,该项目将专注于构建该支撑系统的下一个版本,该系统允许在每个参与者个人适合的位置定制放置价格合理(不是高端研究级)的商业肌电(Myoware)传感器。myware传感器将通过基于SolidWorks开发的模块化附件嵌入到当前的上半身限制支架上,如本文所述。SolidWorks设计利用滑动机构、螺钉、弹簧和夹具,使模块化附件更加用户友好,并且在三维空间中位置可适应性强。将myware传感器嵌入支架设计中,取代了将研究级(Delsys)传感器粘贴到每个参与者身上的需要,以确保与每个参与者的手臂保持一致的接触,从而实现稳健的肌电测量和可靠的触觉反馈传递。总的来说,这些改进的设计实现将导致该设备的版本更实惠,更易于使用,更适合每个用户,并促进更大的可移植性。潜在客户和利益相关者不仅包括患者,还包括临床支助人员和远程保健公司。这种多功能的、先进的计算机化康复系统对任何影响上肢功能的神经肌肉疾病社区都是有价值的,这些疾病受益于运动康复。
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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