• 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

单个刺激位置对应两个输入:基于稳态视觉诱发电位 (SSVEP) 的组合脑机接口。

Single stimulus location for two inputs: A combined brain-computer interface based on Steady-State Visual Evoked Potential (SSVEP).

机构信息

Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.

Department of Psychology and Special Education, Hangzhou Normal University, Hangzhou, China.

出版信息

Eur J Neurosci. 2021 Feb;53(3):861-875. doi: 10.1111/ejn.15030. Epub 2020 Nov 16.

DOI:10.1111/ejn.15030
PMID:33128787
Abstract

Brain-computer interfaces (BCI) help severely paralyzed people communicate with the outside world. One type of BCI depends on eye movements and has high information transfer (ITR) but is tiring for users and not applicable to people with eye dyskinesia. Conversely, independent BCIs enable attention shifts across visual stimuli without eye movement, but at the cost of a lower ITR. Steady-state visual evoked potential (SSVEP) is an oscillatory brain response and typically used as BCI signal sources because of high signal-to-noise ratio (SNR). Considering the effect of attentional modulation on the SSVEP, we proposed the novel concept of one-to-two BCI to optimize existing problems, wherein the target and other stimuli shared the same location. Specifically, two spatially overlapping stimuli were displayed in the center-of-view field, as in the independent BCI, and participants were required to divide their attention between the right and left visual fields, as in the dependent BCI. Using three different design schemes in two experiments, we aimed to provide a new framework for BCI design by exploring the feasibility of a combined BCI that can realize a single stimulus location for two inputs. The results strongly demonstrated that, even when the targets and distractors overlapped spatially, the former evoked stronger SSVEP responses. Notably, the BCI scheme based on the object-based attention could achieve a recognition rate as high as 83.2% and an ITR of 12.5 bits per minute. The feasibility of a one-to-two BCI design, which simplified the keyboard layout, reduced the attention shift, and relieved user fatigue, was established.

摘要

脑-机接口(BCI)帮助严重瘫痪的人与外界交流。一种 BCI 依赖于眼球运动,具有较高的信息传输率(ITR),但用户容易疲劳,且不适用眼球运动障碍的人。相反,独立的 BCI 允许在不进行眼球运动的情况下将注意力转移到视觉刺激上,但代价是较低的 ITR。稳态视觉诱发电位(SSVEP)是一种振荡脑响应,通常用作 BCI 信号源,因为其信噪比(SNR)较高。考虑到注意力调节对 SSVEP 的影响,我们提出了一种新颖的一对一到二 BCI 概念,以优化现有问题,其中目标和其他刺激共享相同的位置。具体来说,两个空间上重叠的刺激显示在中心视野区域,就像在独立 BCI 中一样,参与者被要求在左右视野之间分配注意力,就像在依赖 BCI 中一样。通过在两个实验中使用三种不同的设计方案,我们旨在通过探索组合 BCI 的可行性来为 BCI 设计提供一个新的框架,该组合 BCI 可以实现单个刺激位置的两个输入。结果强烈表明,即使目标和分心物在空间上重叠,前者也会引起更强的 SSVEP 反应。值得注意的是,基于对象注意力的 BCI 方案可以实现高达 83.2%的识别率和 12.5 位/分钟的 ITR。建立了一种简化键盘布局、减少注意力转移和减轻用户疲劳的一对一到二 BCI 设计的可行性。

相似文献

1
Single stimulus location for two inputs: A combined brain-computer interface based on Steady-State Visual Evoked Potential (SSVEP).单个刺激位置对应两个输入:基于稳态视觉诱发电位 (SSVEP) 的组合脑机接口。
Eur J Neurosci. 2021 Feb;53(3):861-875. doi: 10.1111/ejn.15030. Epub 2020 Nov 16.
2
The effect of stimulus number on the recognition accuracy and information transfer rate of SSVEP-BCI in augmented reality.刺激数量对增强现实中稳态视觉诱发电位脑机接口识别准确率和信息传输率的影响
J Neural Eng. 2022 May 13;19(3). doi: 10.1088/1741-2552/ac6ae5.
3
A sub-region combination scheme for spatial coding in a high-frequency SSVEP-based BCI.一种基于高频 SSVEP 的脑-机接口中的空间编码的子区域组合方案。
J Neural Eng. 2023 Jul 27;20(4). doi: 10.1088/1741-2552/ace8bd.
4
A Hybrid Speller Design Using Eye Tracking and SSVEP Brain-Computer Interface.基于眼动追踪和 SSVEP 脑-机接口的混合拼写器设计。
Sensors (Basel). 2020 Feb 7;20(3):891. doi: 10.3390/s20030891.
5
Training the spatially-coded SSVEP BCI on the fly.在飞行中对空间编码 SSVEP BCI 进行训练。
J Neurosci Methods. 2022 Aug 1;378:109652. doi: 10.1016/j.jneumeth.2022.109652. Epub 2022 Jun 15.
6
An amplitude-modulated visual stimulation for reducing eye fatigue in SSVEP-based brain-computer interfaces.一种用于减少基于 SSVEP 的脑机接口中眼疲劳的调制幅度视觉刺激。
Clin Neurophysiol. 2014 Jul;125(7):1380-91. doi: 10.1016/j.clinph.2013.11.016. Epub 2013 Dec 1.
7
A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG.基于高频 SSVEP 和 sEMG 的高速混合脑机接口系统。
IEEE J Biomed Health Inform. 2023 Dec;27(12):5688-5698. doi: 10.1109/JBHI.2023.3321722. Epub 2023 Dec 5.
8
Optimizing spatial properties of a new checkerboard-like visual stimulus for user-friendly SSVEP-based BCIs.优化新型棋盘状视觉刺激的空间特性,以实现用户友好的基于 SSVEP 的脑机接口。
J Neural Eng. 2021 Oct 5;18(5). doi: 10.1088/1741-2552/ac284a.
9
The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface.视觉噪声在稳态运动视觉诱发电位脑-机接口中影响心理负荷和疲劳的作用。
Sensors (Basel). 2017 Aug 14;17(8):1873. doi: 10.3390/s17081873.
10
Brain-computer interfaces using capacitive measurement of visual or auditory steady-state responses.基于视觉或听觉稳态响应的电容测量的脑-机接口。
J Neural Eng. 2013 Apr;10(2):024001. doi: 10.1088/1741-2560/10/2/024001. Epub 2013 Feb 28.