• 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

2005年脑机接口会议——信号与记录方法研讨会

BCI Meeting 2005--workshop on signals and recording methods.

作者信息

Wolpaw Jonathan R, Loeb Gerald E, Allison Brendan Z, Donchin Emanuel, do Nascimento Omar Feix, Heetderks William J, Nijboer Femke, Shain William G, Turner James N

机构信息

Wadsworth Center, Albany, NY 12201-0509, USA.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):138-41. doi: 10.1109/TNSRE.2006.875583.

DOI:10.1109/TNSRE.2006.875583
PMID:16792279
Abstract

This paper describes the highlights of presentations and discussions during the Third International BCI Meeting in a workshop that evaluated potential brain-computer interface (BCI) signals and currently available recording methods. It defined the main potential user populations and their needs, addressed the relative advantages and disadvantages of noninvasive and implanted (i.e., invasive) methodologies, considered ethical issues, and focused on the challenges involved in translating BCI systems from the laboratory to widespread clinical use. The workshop stressed the critical importance of developing useful applications that establish the practical value of BCI technology.

摘要

本文介绍了第三届国际脑机接口会议期间一个研讨会的演讲和讨论要点,该研讨会评估了潜在的脑机接口(BCI)信号及当前可用的记录方法。它明确了主要的潜在用户群体及其需求,探讨了非侵入性和植入式(即侵入性)方法的相对优缺点,考虑了伦理问题,并聚焦于将BCI系统从实验室转化为广泛临床应用所涉及的挑战。该研讨会强调了开发有用应用以确立BCI技术实用价值的至关重要性。

相似文献

1
BCI Meeting 2005--workshop on signals and recording methods.2005年脑机接口会议——信号与记录方法研讨会
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):138-41. doi: 10.1109/TNSRE.2006.875583.
2
BCI Meeting 2005--workshop on BCI signal processing: feature extraction and translation.2005年脑机接口会议——脑机接口信号处理研讨会:特征提取与转换
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):135-8. doi: 10.1109/TNSRE.2006.875637.
3
BCI meeting 2005--workshop on technology: hardware and software.2005年脑机接口会议——技术研讨会:硬件与软件
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):128-31. doi: 10.1109/TNSRE.2006.875584.
4
BCI Meeting 2005--workshop on clinical issues and applications.2005年脑机接口会议——临床问题与应用研讨会
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):131-4. doi: 10.1109/tnsre.2006.875585.
5
Brain interface research for asynchronous control applications.用于异步控制应用的脑机接口研究。
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):160-4. doi: 10.1109/TNSRE.2006.875526.
6
The BCI competition. III: Validating alternative approaches to actual BCI problems.脑机接口竞赛。III:验证解决实际脑机接口问题的替代方法。
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):153-9. doi: 10.1109/TNSRE.2006.875642.
7
[Neural engineering and neural prostheses].[神经工程与神经假体]
Zhongguo Yi Liao Qi Xie Za Zhi. 2006 Mar;30(2):79-82.
8
BCI2000: a general-purpose brain-computer interface (BCI) system.BCI2000:一种通用的脑机接口(BCI)系统。
IEEE Trans Biomed Eng. 2004 Jun;51(6):1034-43. doi: 10.1109/TBME.2004.827072.
9
A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.基于脑电信号的脑机接口中信号处理算法的综述。
J Neural Eng. 2007 Jun;4(2):R32-57. doi: 10.1088/1741-2560/4/2/R03. Epub 2007 Mar 27.
10
Optimizing the P300-based brain-computer interface: current status, limitations and future directions.基于 P300 的脑机接口的优化:现状、局限性和未来方向。
J Neural Eng. 2011 Apr;8(2):025003. doi: 10.1088/1741-2560/8/2/025003. Epub 2011 Mar 24.

引用本文的文献

1
Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study.基于X平台十年数据的公众对脑机接口的认知:混合方法研究
JMIR Form Res. 2025 Jun 25;9:e60859. doi: 10.2196/60859.
2
[Visual object detection system based on augmented reality and steady-state visual evoked potential].基于增强现实与稳态视觉诱发电位的视觉目标检测系统
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Aug 25;41(4):684-691. doi: 10.7507/1001-5515.202403041.
3
Cross-Modal Transfer Learning From EEG to Functional Near-Infrared Spectroscopy for Classification Task in Brain-Computer Interface System.
脑机接口系统中用于分类任务的从脑电图到功能近红外光谱的跨模态迁移学习
Front Psychol. 2022 Apr 7;13:833007. doi: 10.3389/fpsyg.2022.833007. eCollection 2022.
4
An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals.一种用于支持闭锁综合征个体个体自主性的 FPGA 嵌入式脑机接口系统。
Sensors (Basel). 2022 Jan 1;22(1):318. doi: 10.3390/s22010318.
5
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review.基于脑电图的脑机接口的现状、挑战及可能的解决方案:综述
Front Neurorobot. 2020 Jun 3;14:25. doi: 10.3389/fnbot.2020.00025. eCollection 2020.
6
Clinician awareness of brain computer interfaces: a Canadian national survey.临床医生对脑机接口的认知:一项加拿大全国性调查。
J Neuroeng Rehabil. 2020 Jan 6;17(1):2. doi: 10.1186/s12984-019-0624-7.
7
Ethical aspects of brain computer interfaces: a scoping review.脑机接口的伦理问题:一项范围综述。
BMC Med Ethics. 2017 Nov 9;18(1):60. doi: 10.1186/s12910-017-0220-y.
8
Combining multiple features for error detection and its application in brain-computer interface.结合多种特征进行错误检测及其在脑机接口中的应用。
Biomed Eng Online. 2016 Feb 4;15:17. doi: 10.1186/s12938-016-0134-9.
9
Human facial neural activities and gesture recognition for machine-interfacing applications.用于机器交互应用的人类面部神经活动和手势识别。
Int J Nanomedicine. 2011;6:3461-72. doi: 10.2147/IJN.S26619. Epub 2011 Dec 16.
10
A brain-computer interface based on bilateral transcranial Doppler ultrasound.基于双侧经颅多普勒超声的脑机接口。
PLoS One. 2011;6(9):e24170. doi: 10.1371/journal.pone.0024170. Epub 2011 Sep 7.