代尔夫特神经肌肉控制实验室:用于识别神经肌肉控制的触觉机器人

E. de Vlugt, A. Schouten, F. V. D. van der Helm
{"title":"代尔夫特神经肌肉控制实验室:用于识别神经肌肉控制的触觉机器人","authors":"E. de Vlugt, A. Schouten, F. V. D. van der Helm","doi":"10.1109/ICORR.2007.4428555","DOIUrl":null,"url":null,"abstract":"Motoneurons in the spinal cord activate the muscles and, as being the 'final common pathway', receive input from sensory afferents (muscle spindles, Golgi tendon organs) and input from higher brain centers. Afferent feedback plays an important role during human motor control and is an adaptive regulator assisting different types of movement and loading conditions. The integration of peripheral feedback and supraspinal input from the brain is topic of ongoing and future research, both in the normal situation and in pathological cases. Movement disorders like spasticity are often attributed to a disbalance between peripheral feedback and supraspinal commands. This laboratory paper gives an overview of the research performed on human movement control and system identification, as carried out by the Delft Laboratory for Neuromuscular Control (NMC). The merits and limitations of current methods are discussed and the future lines of research are sketched. At the end, possible clinical applications are described. It is concluded that system identification techniques are a very useful tool to gain insight into the (patho)physiology of the human movement system. Clinical application of identification techniques is in it's early stage and is a very promising field of multidisciplinary research.","PeriodicalId":197465,"journal":{"name":"2007 IEEE 10th International Conference on Rehabilitation Robotics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Delft Laboratory for Neuromuscular Control: Haptic Robots for the Identification of Neuro-Muscular Control\",\"authors\":\"E. de Vlugt, A. Schouten, F. V. D. van der Helm\",\"doi\":\"10.1109/ICORR.2007.4428555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motoneurons in the spinal cord activate the muscles and, as being the 'final common pathway', receive input from sensory afferents (muscle spindles, Golgi tendon organs) and input from higher brain centers. Afferent feedback plays an important role during human motor control and is an adaptive regulator assisting different types of movement and loading conditions. The integration of peripheral feedback and supraspinal input from the brain is topic of ongoing and future research, both in the normal situation and in pathological cases. Movement disorders like spasticity are often attributed to a disbalance between peripheral feedback and supraspinal commands. This laboratory paper gives an overview of the research performed on human movement control and system identification, as carried out by the Delft Laboratory for Neuromuscular Control (NMC). The merits and limitations of current methods are discussed and the future lines of research are sketched. At the end, possible clinical applications are described. It is concluded that system identification techniques are a very useful tool to gain insight into the (patho)physiology of the human movement system. Clinical application of identification techniques is in it's early stage and is a very promising field of multidisciplinary research.\",\"PeriodicalId\":197465,\"journal\":{\"name\":\"2007 IEEE 10th International Conference on Rehabilitation Robotics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 10th International Conference on Rehabilitation Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICORR.2007.4428555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 10th International Conference on Rehabilitation Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORR.2007.4428555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

脊髓中的运动神经元激活肌肉,作为“最后的共同通道”,接收来自感觉传入(肌肉纺锤体、高尔基肌腱器官)和来自高级脑中心的输入。传入反馈在人体运动控制中起着重要的作用,是一种辅助不同类型运动和负载条件的自适应调节器。无论是在正常情况下还是在病理情况下,来自大脑的外周反馈和棘上输入的整合都是正在进行和未来研究的主题。像痉挛这样的运动障碍通常归因于外周反馈和脊柱上指令之间的不平衡。本文概述了代尔夫特神经肌肉控制实验室(NMC)在人体运动控制和系统识别方面所做的研究。讨论了现有方法的优点和局限性,并对未来的研究方向进行了概述。最后,描述了可能的临床应用。结论是,系统识别技术是深入了解人体运动系统(病理)生理学的一个非常有用的工具。识别技术的临床应用尚处于起步阶段,是一个极具发展前景的多学科研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Delft Laboratory for Neuromuscular Control: Haptic Robots for the Identification of Neuro-Muscular Control
Motoneurons in the spinal cord activate the muscles and, as being the 'final common pathway', receive input from sensory afferents (muscle spindles, Golgi tendon organs) and input from higher brain centers. Afferent feedback plays an important role during human motor control and is an adaptive regulator assisting different types of movement and loading conditions. The integration of peripheral feedback and supraspinal input from the brain is topic of ongoing and future research, both in the normal situation and in pathological cases. Movement disorders like spasticity are often attributed to a disbalance between peripheral feedback and supraspinal commands. This laboratory paper gives an overview of the research performed on human movement control and system identification, as carried out by the Delft Laboratory for Neuromuscular Control (NMC). The merits and limitations of current methods are discussed and the future lines of research are sketched. At the end, possible clinical applications are described. It is concluded that system identification techniques are a very useful tool to gain insight into the (patho)physiology of the human movement system. Clinical application of identification techniques is in it's early stage and is a very promising field of multidisciplinary research.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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