A pilot study for self-guided, active robotic training of proprioception of the upper limb in chronic stroke.

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Duncan T Tulimieri, GilHwan Kim, Joanna E Hoh, Fabrizio Sergi, Jennifer A Semrau
{"title":"A pilot study for self-guided, active robotic training of proprioception of the upper limb in chronic stroke.","authors":"Duncan T Tulimieri, GilHwan Kim, Joanna E Hoh, Fabrizio Sergi, Jennifer A Semrau","doi":"10.1186/s12984-025-01660-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Proprioceptive impairments of the upper limb are common after stroke. These impairments are not typically addressed during assessment or rehabilitation. Currently, most robotic paradigms for training of the upper limb have focused solely on improving motor function or have targeted proprioception in individuals with combined use of visual feedback. Our goal was to design a training paradigm that directly targets proprioception of the upper limb, while minimizing reliance on other sensory information to improve sensorimotor function after stroke.</p><p><strong>Methods: </strong>In this pilot study, 5 individuals with stroke and 5 age-matched controls were tested on a single-day proprioceptive training paradigm. Here, participants used a joystick with their less-affected arm to send commands to a KINARM exoskeleton that would passively move their more-affected arm. To complete the passive reaching task, participants relied only on proprioceptive feedback from the more-affected arm and were only given knowledge of results information after each trial. Sensorimotor function of the upper limb was measured pre- and post-training via robotic measures of motor function [Visually Guided Reaching (VGR)] and position sense [Arm Position Matching (APM)]. Sensorimotor function was quantified as a Task Score, which incorporated multiple task-relevant parameters for both VGR and APM. Changes in sensorimotor performance due to training were calculated as the pre- to post-training difference for VGR and APM within the control and stroke groups.</p><p><strong>Results: </strong>We found significant improvements from pre-training to post-training for VGR in individuals with stroke (p < 0.001, CLES = 100) that were not observed in control participants (p = 0.87, CLES = 80). We observed significant changes from pre- to post-training in both VGR (Posture Speed, Reaction Time, Initial Direction Angle, Min-Max Speed Difference, and Movement Time) and APM (Contraction/Expansion Ratio<sub>x</sub> and Shift<sub>y</sub>) parameters.</p><p><strong>Conclusions: </strong>Our novel proprioceptive training paradigm is one of the first to implement a self-guided sensory training protocol. We observed improvements in motor function and proprioception for individuals with stroke. This pilot study demonstrates the feasibility of self-guided proprioceptive training to improve motor and sensory function in individuals with stroke. Future studies aim to examine multi-day training to examine longer-term impacts on upper limb sensorimotor function.</p>","PeriodicalId":16384,"journal":{"name":"Journal of NeuroEngineering and Rehabilitation","volume":"22 1","pages":"130"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12145635/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of NeuroEngineering and Rehabilitation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1186/s12984-025-01660-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Proprioceptive impairments of the upper limb are common after stroke. These impairments are not typically addressed during assessment or rehabilitation. Currently, most robotic paradigms for training of the upper limb have focused solely on improving motor function or have targeted proprioception in individuals with combined use of visual feedback. Our goal was to design a training paradigm that directly targets proprioception of the upper limb, while minimizing reliance on other sensory information to improve sensorimotor function after stroke.

Methods: In this pilot study, 5 individuals with stroke and 5 age-matched controls were tested on a single-day proprioceptive training paradigm. Here, participants used a joystick with their less-affected arm to send commands to a KINARM exoskeleton that would passively move their more-affected arm. To complete the passive reaching task, participants relied only on proprioceptive feedback from the more-affected arm and were only given knowledge of results information after each trial. Sensorimotor function of the upper limb was measured pre- and post-training via robotic measures of motor function [Visually Guided Reaching (VGR)] and position sense [Arm Position Matching (APM)]. Sensorimotor function was quantified as a Task Score, which incorporated multiple task-relevant parameters for both VGR and APM. Changes in sensorimotor performance due to training were calculated as the pre- to post-training difference for VGR and APM within the control and stroke groups.

Results: We found significant improvements from pre-training to post-training for VGR in individuals with stroke (p < 0.001, CLES = 100) that were not observed in control participants (p = 0.87, CLES = 80). We observed significant changes from pre- to post-training in both VGR (Posture Speed, Reaction Time, Initial Direction Angle, Min-Max Speed Difference, and Movement Time) and APM (Contraction/Expansion Ratiox and Shifty) parameters.

Conclusions: Our novel proprioceptive training paradigm is one of the first to implement a self-guided sensory training protocol. We observed improvements in motor function and proprioception for individuals with stroke. This pilot study demonstrates the feasibility of self-guided proprioceptive training to improve motor and sensory function in individuals with stroke. Future studies aim to examine multi-day training to examine longer-term impacts on upper limb sensorimotor function.

慢性中风患者上肢本体感觉自我引导主动机器人训练的初步研究。
背景:中风后上肢本体感觉损伤很常见。这些缺陷通常不会在评估或康复期间得到解决。目前,大多数上肢训练的机器人范例都只专注于改善运动功能或针对个体的本体感觉,并结合使用视觉反馈。我们的目标是设计一种直接针对上肢本体感觉的训练模式,同时最大限度地减少对其他感觉信息的依赖,以改善中风后的感觉运动功能。方法:在这项初步研究中,对5名脑卒中患者和5名年龄匹配的对照组进行了为期一天的本体感觉训练范式测试。在这里,参与者用他们受影响较小的手臂上的操纵杆向KINARM外骨骼发送指令,KINARM外骨骼会被动地移动他们受影响较大的手臂。为了完成被动伸手任务,参与者只依赖于受影响更大的手臂的本体感受反馈,并且只在每次试验后才知道结果信息。通过机器人运动功能测量[视觉引导到达(VGR)]和位置感觉[手臂位置匹配(APM)]来测量训练前后上肢的感觉运动功能。感觉运动功能被量化为任务评分,该评分包含了VGR和APM的多个任务相关参数。训练引起的感觉运动表现变化计算为对照组和卒中组VGR和APM训练前后的差异。结果:我们发现脑卒中患者(px和Shifty)参数的VGR从训练前到训练后有显著改善。结论:我们的新本体感觉训练模式是第一个实现自我引导的感觉训练方案之一。我们观察到中风患者运动功能和本体感觉的改善。本初步研究证明了自我引导本体感觉训练改善脑卒中患者运动和感觉功能的可行性。未来的研究旨在研究多日训练对上肢感觉运动功能的长期影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信