• 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

使脑机接口性能与太空应用相匹配。

Matching brain-machine interface performance to space applications.

作者信息

Citi Luca, Tonet Oliver, Marinelli Martina

机构信息

School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ Colchester, UK.

出版信息

Int Rev Neurobiol. 2009;86:199-212. doi: 10.1016/S0074-7742(09)86015-7.

DOI:10.1016/S0074-7742(09)86015-7
PMID:19608001
Abstract

A brain-machine interface (BMI) is a particular class of human-machine interface (HMI). BMIs have so far been studied mostly as a communication means for people who have little or no voluntary control of muscle activity. For able-bodied users, such as astronauts, a BMI would only be practical if conceived as an augmenting interface. A method is presented for pointing out effective combinations of HMIs and applications of robotics and automation to space. Latency and throughput are selected as performance measures for a hybrid bionic system (HBS), that is, the combination of a user, a device, and a HMI. We classify and briefly describe HMIs and space applications and then compare the performance of classes of interfaces with the requirements of classes of applications, both in terms of latency and throughput. Regions of overlap correspond to effective combinations. Devices requiring simpler control, such as a rover, a robotic camera, or environmental controls are suitable to be driven by means of BMI technology. Free flyers and other devices with six degrees of freedom can be controlled, but only at low-interactivity levels. More demanding applications require conventional interfaces, although they could be controlled by BMIs once the same levels of performance as currently recorded in animal experiments are attained. Robotic arms and manipulators could be the next frontier for noninvasive BMIs. Integrating smart controllers in HBSs could improve interactivity and boost the use of BMI technology in space applications.

摘要

脑机接口(BMI)是人机接口(HMI)的一种特殊类型。到目前为止,BMI主要被研究作为那些对肌肉活动几乎没有或完全没有自主控制能力的人的一种通信手段。对于身体健全的用户,如宇航员,BMI只有被设想为一种增强型接口才具有实用性。本文提出了一种方法,用于指出HMI与机器人技术及自动化在太空应用中的有效组合。延迟和吞吐量被选为混合仿生系统(HBS)的性能指标,HBS即用户、设备和HMI的组合。我们对HMI和太空应用进行分类并简要描述,然后从延迟和吞吐量两方面比较接口类别与应用类别的性能要求。重叠区域对应有效组合。需要更简单控制的设备,如漫游车、机器人相机或环境控制设备,适合通过BMI技术驱动。自由飞行器和其他具有六个自由度的设备可以被控制,但只能在低交互水平下。要求更高的应用需要传统接口,不过一旦达到与目前动物实验记录相同的性能水平,它们也可以由BMI控制。机械臂和操纵器可能是非侵入性BMI的下一个前沿领域。在HBS中集成智能控制器可以提高交互性,并促进BMI技术在太空应用中的使用。

相似文献

1
Matching brain-machine interface performance to space applications.使脑机接口性能与太空应用相匹配。
Int Rev Neurobiol. 2009;86:199-212. doi: 10.1016/S0074-7742(09)86015-7.
2
Defining brain-machine interface applications by matching interface performance with device requirements.通过使接口性能与设备要求相匹配来定义脑机接口应用。
J Neurosci Methods. 2008 Jan 15;167(1):91-104. doi: 10.1016/j.jneumeth.2007.03.015. Epub 2007 Mar 31.
3
Validation of brain-machine interfaces during parabolic flight.抛物线飞行期间脑机接口的验证
Int Rev Neurobiol. 2009;86:189-97. doi: 10.1016/S0074-7742(09)86014-5.
4
Brain-machine interfaces for space applications-research, technological development, and opportunities.用于太空应用的脑机接口——研究、技术发展及机遇
Int Rev Neurobiol. 2009;86:213-23. doi: 10.1016/S0074-7742(09)86016-9.
5
The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.非侵入式柏林脑机接口:在未经训练的受试者中快速获得有效性能。
Neuroimage. 2007 Aug 15;37(2):539-50. doi: 10.1016/j.neuroimage.2007.01.051. Epub 2007 Mar 1.
6
On the use of brain-computer interfaces outside scientific laboratories toward an application in domotic environments.关于脑机接口在科学实验室之外的使用及其在智能家居环境中的应用。
Int Rev Neurobiol. 2009;86:133-46. doi: 10.1016/S0074-7742(09)86010-8.
7
Developments in brain-machine interfaces from the perspective of robotics.从机器人技术角度看脑机接口的发展
Hum Mov Sci. 2009 Apr;28(2):191-203. doi: 10.1016/j.humov.2008.12.001. Epub 2009 Feb 23.
8
Flexibility and practicality graz brain-computer interface approach.灵活性和实用性兼具的脑机接口方法。
Int Rev Neurobiol. 2009;86:119-31. doi: 10.1016/S0074-7742(09)86009-1.
9
Evaluation of a graphic interface to control a robotic grasping arm: a multicenter study.用于控制机器人抓取臂的图形界面评估:一项多中心研究。
Arch Phys Med Rehabil. 2009 Oct;90(10):1740-8. doi: 10.1016/j.apmr.2009.05.009.
10
A review on directional information in neural signals for brain-machine interfaces.脑机接口中神经信号方向信息综述。
J Physiol Paris. 2009 Sep-Dec;103(3-5):244-54. doi: 10.1016/j.jphysparis.2009.08.007. Epub 2009 Aug 7.

引用本文的文献

1
Hearing Beyond the Normal Enabled by Therapeutic Devices: The Role of the Recipient and the Hearing Profession.治疗设备实现的超正常听力:接受者及听力专业人员的作用。
Neuroethics. 2013;6(3):607-616. doi: 10.1007/s12152-011-9120-x. Epub 2011 Jun 1.