• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

模式切换性能的转移:从训练到上肢假肢使用。

Transfer of mode switching performance: from training to upper-limb prosthesis use.

机构信息

Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

出版信息

J Neuroeng Rehabil. 2021 May 22;18(1):85. doi: 10.1186/s12984-021-00878-4.

DOI:10.1186/s12984-021-00878-4
PMID:34022945
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8141154/
Abstract

BACKGROUND

Current myoelectric prostheses are multi-articulated and offer multiple modes. Switching between modes is often done through pre-defined myosignals, so-called triggers, of which the training hardly is studied. We evaluated if switching skills trained without using a prosthesis transfer to actual prosthesis use and whether the available feedback during training influences this transfer. Furthermore we examined which clinically relevant performance measures and which myosignal features were adapted during training.

METHODS

Two experimental groups and one control group participated in a five day pre-test-post-test design study. Both experimental groups used their myosignals to perform a task. One group performed a serious game without seeing their myosignals, the second group was presented their myosignal on a screen. The control group played the serious game using the touchpad of the laptop. Each training session lasted 15 min. The pre- and post-test were identical for all groups and consisted of performing a task with an actual prosthesis, where switches had to be produced to change grip mode to relocate clothespins. Both clinically relevant performance measures and myosignal features were analysed.

RESULTS

10 participants trained using the serious game, 10 participants trained with the visual myosignal and 8 the control task. All participants were unimpaired. Both experimental groups showed significant transfer of skill from training to prosthesis use, the control group did not. The degree of transfer did not differ between the two training groups. Clinically relevant measure 'accuracy' and feature of the myosignals 'variation in phasing' changed during training.

CONCLUSIONS

Training switching skills appeared to be successful. The skills trained in the game transferred to performance in a functional task. Learning switching skills is independent of the type of feedback used during training. Outcome measures hardly changed during training and further research is needed to explain this. It should be noted that five training sessions did not result in a level of performance needed for actual prosthesis use. Trial registration The study was approved by the local ethics committee (ECB 2014.02.28_1) and was included in the Dutch trial registry (NTR5876).

摘要

背景

目前的肌电假肢是多关节的,并提供多种模式。模式之间的切换通常通过预定义的肌电信号(所谓的触发器)完成,而对这些触发器的训练几乎没有研究。我们评估了在不使用假肢的情况下进行的切换技能训练是否会转移到实际的假肢使用中,以及训练过程中的可用反馈是否会影响这种转移。此外,我们还检查了在训练过程中适应了哪些与临床相关的性能测量和肌电信号特征。

方法

两个实验组和一个对照组参加了一个为期五天的预测试-后测试设计研究。两个实验组都使用自己的肌电信号来完成任务。一组在不看自己肌电信号的情况下玩严肃游戏,另一组则在屏幕上显示自己的肌电信号。对照组使用笔记本电脑的触摸板玩严肃游戏。每个训练课程持续 15 分钟。所有组的预测试和后测试都是相同的,包括使用实际假肢完成一项任务,在任务中必须进行切换以改变握持模式来重新定位衣夹。分析了与临床相关的性能测量和肌电信号特征。

结果

10 名参与者使用严肃游戏进行训练,10 名参与者使用视觉肌电信号进行训练,8 名参与者使用对照组任务进行训练。所有参与者均未受损。两个实验组都显示出从训练到假肢使用的技能转移有显著效果,对照组则没有。两个训练组之间的转移程度没有差异。与临床相关的测量指标“准确性”和肌电信号特征“相位变化的变化”在训练过程中发生了变化。

结论

训练切换技能似乎是成功的。在游戏中训练的技能转移到了功能任务的表现中。切换技能的学习与训练过程中使用的反馈类型无关。在训练过程中,结果测量几乎没有变化,需要进一步研究来解释这一点。需要注意的是,五次训练课程并没有达到实际使用假肢所需的性能水平。

试验注册

该研究得到了当地伦理委员会的批准(ECB 2014.02.28_1),并被纳入荷兰试验注册处(NTR5876)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/8f403e9d7d75/12984_2021_878_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/865274c99df1/12984_2021_878_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/14c82eeae3d2/12984_2021_878_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/59d52ee6703e/12984_2021_878_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/953bfb05b89d/12984_2021_878_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/151cc28f3ce9/12984_2021_878_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/dd926b4c700e/12984_2021_878_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/8f403e9d7d75/12984_2021_878_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/865274c99df1/12984_2021_878_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/14c82eeae3d2/12984_2021_878_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/59d52ee6703e/12984_2021_878_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/953bfb05b89d/12984_2021_878_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/151cc28f3ce9/12984_2021_878_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/dd926b4c700e/12984_2021_878_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4017/8141154/8f403e9d7d75/12984_2021_878_Fig7_HTML.jpg

相似文献

1
Transfer of mode switching performance: from training to upper-limb prosthesis use.模式切换性能的转移:从训练到上肢假肢使用。
J Neuroeng Rehabil. 2021 May 22;18(1):85. doi: 10.1186/s12984-021-00878-4.
2
Training prosthesis users to switch between modes of a multi-articulating prosthetic hand.培训假肢使用者在多关节假肢的不同模式之间切换。
Disabil Rehabil. 2024 Jan;46(1):187-198. doi: 10.1080/09638288.2022.2157055. Epub 2022 Dec 21.
3
Performance among different types of myocontrolled tasks is not related.不同类型的肌控任务之间的表现没有关联。
Hum Mov Sci. 2020 Apr;70:102592. doi: 10.1016/j.humov.2020.102592. Epub 2020 Feb 22.
4
Learning an EMG Controlled Game: Task-Specific Adaptations and Transfer.学习肌电图控制的游戏:特定任务的适应性与迁移。
PLoS One. 2016 Aug 24;11(8):e0160817. doi: 10.1371/journal.pone.0160817. eCollection 2016.
5
Virtual Training of the Myosignal.肌电信号的虚拟训练
PLoS One. 2015 Sep 9;10(9):e0137161. doi: 10.1371/journal.pone.0137161. eCollection 2015.
6
Task-Oriented Gaming for Transfer to Prosthesis Use.面向任务的游戏以促进假肢使用的转移。
IEEE Trans Neural Syst Rehabil Eng. 2016 Dec;24(12):1384-1394. doi: 10.1109/TNSRE.2015.2502424. Epub 2015 Nov 23.
7
Assessing effectiveness of serious game training designed to assist in upper limb prosthesis rehabilitation.评估旨在辅助上肢假肢康复的严肃游戏训练的有效性。
Front Rehabil Sci. 2024 Jan 29;5:1353077. doi: 10.3389/fresc.2024.1353077. eCollection 2024.
8
Delaying feedback during pre-device training facilitates the retention of novel myoelectric skills: a laboratory and home-based study.在设备前训练期间延迟反馈有助于新型肌电技能的保留:一项实验室和家庭研究。
J Neural Eng. 2023 May 9;20(3). doi: 10.1088/1741-2552/acc4ea.
9
Influence of mirror therapy and motor imagery on intermanual transfer effects in upper-limb prosthesis training of healthy participants: A randomized pre-posttest study.镜像疗法和运动想象对健康受试者上肢假肢训练中双手间转移效果的影响:一项随机前后测试研究。
PLoS One. 2018 Oct 9;13(10):e0204839. doi: 10.1371/journal.pone.0204839. eCollection 2018.
10
User training for machine learning controlled upper limb prostheses: a serious game approach.机器学习控制上肢假肢的用户培训:一种严肃游戏方法。
J Neuroeng Rehabil. 2021 Feb 12;18(1):32. doi: 10.1186/s12984-021-00831-5.

引用本文的文献

1
Assessing effectiveness of serious game training designed to assist in upper limb prosthesis rehabilitation.评估旨在辅助上肢假肢康复的严肃游戏训练的有效性。
Front Rehabil Sci. 2024 Jan 29;5:1353077. doi: 10.3389/fresc.2024.1353077. eCollection 2024.
2
Evidencing the effectiveness of upper limb prostheses: a multi-stakeholder perspective on study requirements.上肢假肢有效性的证据:多利益相关方对研究要求的看法。
Front Health Serv. 2023 Dec 21;3:1213752. doi: 10.3389/frhs.2023.1213752. eCollection 2023.
3
Limb Amputations in Cancer: Modern Perspectives, Outcomes, and Alternatives.

本文引用的文献

1
Outcomes and Perception of a Conventional and Alternative Myoelectric Control Strategy: A Study of Experienced and New Multiarticulating Hand Users.传统与替代肌电控制策略的结果与认知:对有经验和新的多关节手部使用者的研究
J Prosthet Orthot. 2015 Apr;27(2):53-62. doi: 10.1097/jpo.0000000000000055.
2
Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?在评估机器学习控制的假肢时,是否应该限制健全参与者的手部活动?
IEEE Trans Neural Syst Rehabil Eng. 2020 Sep;28(9):1977-1983. doi: 10.1109/TNSRE.2020.3007803. Epub 2020 Jul 7.
3
Users' and therapists' perceptions of myoelectric multi-function upper limb prostheses with conventional and pattern recognition control.
癌症患者的肢体截肢:现代观点、结果和替代方案。
Curr Oncol Rep. 2023 Dec;25(12):1457-1465. doi: 10.1007/s11912-023-01475-5. Epub 2023 Nov 24.
用户和治疗师对具有传统和模式识别控制的肌电多功能上肢假肢的看法。
PLoS One. 2019 Aug 29;14(8):e0220899. doi: 10.1371/journal.pone.0220899. eCollection 2019.
4
The Effect of Feedback During Training Sessions on Learning Pattern-Recognition-Based Prosthesis Control.训练过程中反馈对基于模式识别的义肢控制学习的影响。
IEEE Trans Neural Syst Rehabil Eng. 2019 Oct;27(10):2087-2096. doi: 10.1109/TNSRE.2019.2929917. Epub 2019 Aug 20.
5
Mobile, Game-Based Training for Myoelectric Prosthesis Control.基于游戏的移动肌电假肢控制训练
Front Bioeng Biotechnol. 2018 Jul 11;6:94. doi: 10.3389/fbioe.2018.00094. eCollection 2018.
6
Evaluation of Myoelectric Control Learning Using Multi-Session Game-Based Training.基于多会话游戏的肌电控制学习评估。
IEEE Trans Neural Syst Rehabil Eng. 2018 Sep;26(9):1680-1689. doi: 10.1109/TNSRE.2018.2855561. Epub 2018 Jul 12.
7
Transfer of a learned coordination function: Specific, individual and generalizable.习得的协调功能的转移:特定的、个体的且可推广的。
Hum Mov Sci. 2018 Jun;59:66-80. doi: 10.1016/j.humov.2018.03.019. Epub 2018 Apr 2.
8
A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis.多自由度经桡动脉假肢的模式识别控制与直接控制的比较
IEEE J Transl Eng Health Med. 2016 Nov 22;4:2100508. doi: 10.1109/JTEHM.2016.2616123. eCollection 2016.
9
Game-Based Rehabilitation for Myoelectric Prosthesis Control.基于游戏的肌电假肢控制康复训练
JMIR Serious Games. 2017 Feb 9;5(1):e3. doi: 10.2196/games.6026.
10
Learning an EMG Controlled Game: Task-Specific Adaptations and Transfer.学习肌电图控制的游戏:特定任务的适应性与迁移。
PLoS One. 2016 Aug 24;11(8):e0160817. doi: 10.1371/journal.pone.0160817. eCollection 2016.