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人体-机器界面:旧主题的新视角。

The body-machine interface: a new perspective on an old theme.

作者信息

Casadio Maura, Ranganathan Rajiv, Mussa-Ivaldi Ferdinando A

机构信息

Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Illinois 60611, USA.

出版信息

J Mot Behav. 2012;44(6):419-33. doi: 10.1080/00222895.2012.700968.

DOI:10.1080/00222895.2012.700968
PMID:23237465
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3534847/
Abstract

Body-machine interfaces establish a way to interact with a variety of devices, allowing their users to extend the limits of their performance. Recent advances in this field, ranging from computer interfaces to bionic limbs, have had important consequences for people with movement disorders. The authors provide an overview of the basic concepts underlying the body-machine interface with special emphasis on their use for rehabilitation and for operating assistive devices. They outline the steps involved in building such an interface and highlight the critical role of body-machine interfaces in addressing theoretical issues in motor control as well as their utility in movement rehabilitation.

摘要

人体-机器接口建立了一种与各种设备交互的方式,使用户能够突破自身能力的局限。该领域的最新进展,从计算机接口到仿生肢体,对患有运动障碍的人产生了重要影响。作者概述了人体-机器接口的基本概念,特别强调了其在康复和操作辅助设备方面的应用。他们概述了构建此类接口所涉及的步骤,并强调了人体-机器接口在解决运动控制理论问题方面的关键作用及其在运动康复中的效用。

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2
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J Neurophysiol. 2011 Jan;105(1):454-73. doi: 10.1152/jn.00247.2010. Epub 2010 Oct 27.
3
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IEEE Int Conf Rehabil Robot. 2023 Sep;2023:1-6. doi: 10.1109/ICORR58425.2023.10304745.
4
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IEEE Trans Biomed Eng. 2023 Jul;70(7):2149-2159. doi: 10.1109/TBME.2023.3237081. Epub 2023 Jun 19.
5
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6
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J Neuroeng Rehabil. 2020 May 11;17(1):61. doi: 10.1186/s12984-020-00681-7.
7
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PLoS One. 2020 Apr 14;15(4):e0223810. doi: 10.1371/journal.pone.0223810. eCollection 2020.
8
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Sci Rep. 2019 Dec 24;9(1):19814. doi: 10.1038/s41598-019-56319-9.
9
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10
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Exp Brain Res. 2019 Aug;237(8):2075-2086. doi: 10.1007/s00221-019-05564-5. Epub 2019 Jun 7.
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Exp Brain Res. 2010 Dec;207(3-4):233-47. doi: 10.1007/s00221-010-2427-8. Epub 2010 Oct 24.
4
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Proc Natl Acad Sci U S A. 2010 Aug 10;107(32):14413-8. doi: 10.1073/pnas.1006746107. Epub 2010 Jul 26.
5
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.脑机接口的临床应用:现状与未来展望
IEEE Rev Biomed Eng. 2009;2:187-199. doi: 10.1109/RBME.2009.2035356.
6
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Clin Neurophysiol. 2010 Jul;121(7):1109-20. doi: 10.1016/j.clinph.2010.01.030. Epub 2010 Mar 26.
7
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8
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9
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