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
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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。
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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.
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