Brain Computer Interface ( BCI) is the system that can realize the control and communication between human brain and computer or other electronic equipment by using bioelectric signal of human brain, the recognition of bioelectric signal of human brain is the core of the BCI.

Brain computer interface based on event related potentials during imitated natural reading is a fully new mode. The critical part of the new solution is an interface called virtual keyboard which provides stimuli for user ′ s characters input.

给出了基于模拟阅读事件相关电位的脑-计算机接口这种全新模式的方案，该方案的关键部分是虚拟键盘的界面，它提供了用户利用脑电信号输入字符所需的刺激。

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The technology, often called a brain computer interface, was conceived to enable people with paralysis and other disabilities to interact with computers or control robotic arms, all by simply thinking about such actions.

这种通常被称为脑机接口的技术，原来的构想是为了让瘫痪或有其他残疾的人，只需要用脑子想一些动作，就能操作计算机、或控制机械臂。

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One of factors that influences brain computer interface ( BCI's) with high information transfer rates is selection of appropriate signal processing methods to extract the user's messages and commands from electroencephalograph ( EEG).

选择合适的信号处理方法从脑电信号中提取用户的信息和命令，是改进脑计算机接口通讯速率的方法之一。

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One of the key issues in a brain computer interface is to single-trial estimate the visual evoked potentials which embedded in ongoing spontaneous Electroencephalogram ( EEG) background.

从被淹没在数十微伏的自发脑电背景中单次提取微伏级的视觉诱发电位，是脑-计算机接口的核心问题之一。

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The Magneto-Encephalo-Graphy ( MEG) can be used as an input signal for Brain Computer Interface ( BCI), which contains the pattern information of the hand movement direction.

脑磁信号（MEG）作为一种新的脑机接口（BCI）输入信号，含有手运动方向的模式信息。

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Brain computer interface does not dependent on peripheral nerve and muscle tissue, and build direct communication and control channel between human brain and electronic devices such as computers.

脑机接口是不依赖于肌肉组织和外周神经在人脑与计算机等电子设备间建立的直接交流和控制通道。

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The steady state visual evoked potential ( SSVEP) is widely used in brain computer interface and frequency tagging research.

稳态视觉诱发电位（SSVEP）被广泛用于脑-机接口和脑电的稳态标记频率检测中。

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We won the third place in the Third International Brain Computer Interface Competition, which also proved the effect of the methods.

并且取得了第三届国际脑机接口竞赛第三名的好成绩，也证明了该方法的有效性。

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In the growing field of brain computer interface, extraction features of EEG signals are of great importance.

在日益兴起的脑机接口领域，脑电信号的特征提取非常重要。

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Brain computer interface design of wavelet-entropy extracting mental tasks

小波熵提取脑意识任务特征的脑机接口设计

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SVM with Posteriori Probabilistic Output Applied in Multi-class Brain Computer Interface

支持向量机后验概率方法在多任务脑机接口中的应用

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Pattern classification of brain computer interface based on support vector machine and selection of model parameters

基于支持向量机的脑&机接口模式分类和模型参数研究

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Progress on event related potential from sensory stimulation for brain computer interface

用于脑机接口的感觉刺激事件相关电位研究进展

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Design of EEG Based Brain Computer Interface

基于EEG的脑&机接口设计

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The research advances on the brain computer interface

脑&机接口的研究进展

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Brain Computer Interface Design Based on Mental Task EEG

基于脑意识任务的脑机接口设计

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Electroencephalogram Classification and Brain Computer Interface Research Based on Motor Imagery

基于运动想象的脑电信号分类与脑机接口技术研究

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Mental task classification for brain computer interface application

脑机接口应用中的思维任务分类

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Study on Brain Computer Interface Based on Cognitive Task

基于认知任务的脑机接口方法研究

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The researches goal of the Brain-Machine Interfaces ( BMIs) design is to restore the injured motor and perception function for the people who suffer from various neurological disorders.

脑.机界面（Brain-Machine Interfaces，BMIs）研究的目标是能够治疗神经系统疾病的患者，使他们受损的运动和感知功能得以恢复。

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