ARMS UP/Assisted Robotic Movement after Stroke using Brain Power: controlling robotics with EEG

ARMS UP/中风后使用脑力辅助机器人运动：用脑电图控制机器人

• 批准号: 446653-2013
• 负责人: Boyd, Lara
• 金额: $ 5.07万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Health Research Projects
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=575251
• 关键词: ARMS; UP; Assisted; Robotic; Movement

A major limitation after stroke is poor arm function. This severely hampers both recovery from stroke and also is a major contributor to reduced quality of life. Despite increased understanding of how the brain recovers from stroke effective therapies that stimulate return of stroke affected arm function remain elusive. This problem is particularly acute for people with more severe stroke who suffer the worst outcomes and are most disabled. Thus, there is a critical need for new technologies that will facilitate recovery and functional capability after stroke. Research has been performed showing that different intentions may be recorded through the use of non-invasive recording from the brain using electroencephalography (EEG). This enables the detection of when someone is trying to move the arm. Our research team has already demonstrated and built an exoskeleton robotic system that can assist in moving the arm. In this proposal we aim to marry these two technologies to enable an integrated system that allows control of the robotic exoskeleton using thinking as captured by EEG. We have assembled an ideal team to carry out this proposal including experts from neuroscience, adaptive technology engineering and clinicians who will serve as our users. In addition this project is well positioned to lead to further technological developments, be transferable to industry and stimulate job growth for Canadians.

中风后的一个主要限制是手臂功能不佳。这严重阻碍了中风的恢复，也是一个主要的问题 导致生活质量下降。尽管人们对大脑如何从中风中恢复的了解不断增加 刺激中风影响的手臂功能恢复的疗法仍然难以捉摸。这个问题对于人们来说尤其严重 患有更严重的中风的人遭受最坏的结果并且最致残。因此，迫切需要新的 促进中风后恢复和功能能力的技术。 研究表明，通过使用非侵入性录音可以记录不同的意图 使用脑电图（EEG）从大脑中获取。这使得能够检测到有人试图移动手臂。 我们的研究团队已经演示并构建了一个可以帮助移动手臂的外骨骼机器人系统。在 在这个提案中，我们的目标是将这两种技术结合起来，以实现一个集成系统，允许控制机器人 外骨骼使用脑电图捕获的思维。 我们组建了一支理想的团队来执行这一提议，其中包括来自神经科学、自适应技术的专家 将作为我们的用户的工程师和临床医生。此外，该项目处于有利地位，可以进一步促进 技术发展，可转化为工业并刺激加拿大人的就业增长。