脑机接口

通过实验证明了，这套系统可以方便的实现离线的基于视觉刺激的脑机接口实验，以及在其他设备辅助下完成在线的脑机接口实验。

With a series of experiments , it is proved that using the system can realize an off-line BCI based on visual stimulus easily , and on-line BCIs with other apparatuses'help are possible .

本论文提出一种利用稳态视觉诱发电位（Steady-statevisualevokedpotential，SSVEP）构造脑机接口的新方法。

A new method for BCI construction is proposed in the dissertation : using steady-state visual evoked potential ( SSVEP ) .

利用双计算机和ActiveOne生理信号测量系统建立了一个基于视觉诱发电位的脑机接口实验系统。

A VEP based BCI experimental system was set up using two computers and the Active One biopotential measurement system .

一种基于DSP的脑机接口硬件系统设计

DSP-based Hardware Design for Brain-computer Interface

脑机接口（BraincomputerInterface，BCI）是神经工程学研究中比较热门的课题之一。

BCI ( Brain computer interface ) is more popular in the neural engineering research one of the topics .

当前绝大部分脑机接口是建立在脑电信号（EEG）基础上的。

Most of the existing brain-computer interface technologies are based on electroencephalogram ( EEG ) signals .

基于集成支持向量机的P300脑机接口信号识别算法研究

A P300 BCI Signal Detection Algorithm Based on Ensemble of SVM

基于CMP的脑机接口并行算法的设计与实现

Design and Implementation of BCI Parallel Algorithm on CMP

基于P300电位的脑机接口系统中参数优化问题的研究

The Study of Parameter Optimization in P300-based Brain Computer Interface

基于mu节律的脑机接口系统是一种完全不依赖于外界刺激实现的脑机交互系统，也是一种较有希望得到广泛应用的系统。

The mu rhythm-based BCI , which belongs to independent BCI , is the system with potential applications .

脑机接口（Brain-computerinterface，BCI）是近年来发展的一门新兴的、多学科交叉的人机接口技术。

BCI ( Brain-Computer Interface , BCI ) is a new and interdisciplinary human-machine interface technology developed recently .

脑机接口（Brain-computerinterface）技术旨在大脑和外部环境间建立一种新型的不依赖于外周神经的信息传输方式。

Technology of Brain-Computer Interface aims to find and construct a novel information interaction approach not depending on peripheral nervous system .

脑机接口（brain-computerinterface，BCI）是近十年发展起来的一种新颖的人机接口方式。

Brain-computer interface ( BCI ) is a novel kind of human computer interface being explored since last decade .

脑机接口（Brain-ComputerInterfaces，orBCI）技术可以帮助残疾人向电脑发送指令。

Brain-computer interface , or BCI , technology could help people with disabilities send s to machines .

基于P300的脑机接口系统研究

Study on the P300-based brain computer interface

脑机接口（BraincomputerInterface，以下简称BCI）研究的是在大脑与外部设备之间建立新的通信通道，进行信息传递。

BCI ( Brain Computer Interface ) focuses on the study of the establishment of a communication channel between human brain and external devices through which information exchange takes place .

脑机接口（Brain-machineinterface，BMI）是不依赖于常规的脊髓/外周神经肌肉系统在脑与外部设备间创建的直接连接通路。

Brain-machine interface ( BMI ) provides a directly communication channel between the brain and man-made devices independent of peripheral nervous system .

提出一种使用生长、分级的自组织映射（growinghierarchicalself-organizingmap，GHSOM）模型进行基于EEG信号的意识任务分类来实现脑机接口技术的方法。

The growing hierarchical self-organizing map ( GHSOM ) model was proposed to apply to performing mental tasks classification in EEG for Brain-Computer Interface .

脑机接口（BCI）是在人脑和外界之间建立不依赖于常规大脑信息输出通路的一种通讯系统。

A brain-computer interface ( BCI ) is a direct communication channel between the human brain and the external world .

基于P300的脑机接口，重要的问题就是将与视觉刺激反应相关联的脑电信号进行提取和分类。

Associated to this BCI paradigm , there is the problem of classifying electroencephalogram signals related to responses to some visual stimulation .

研究结果显示仿真输出信号的alpha频带功率谱有与实际脑机接口实验一致的事件相关去同步化和同步化现象；

The results indicate that the alpha frequency band spectrum of output shows event-related desynchronization and synchronization ( ERD and ERS ), which is consistent with the brain computer interface experiment .

脑机接口（BCI）系统中存在着各种干扰，工频（50Hz）是其中最重要的干扰之一；

Mains power supply ( 50Hz ) is one of the most significant disturbances in Brain-computer interface ( BCI ) systems .

在诸多的脑机接口模式中，基于稳态视觉诱发电位的BCI系统能提供更高的分类准确率和更快的信息传输率。

Among all BCI modalities , BCIs based on the steady state visual evoked potential ( SSVEP ) can provide higher accuracy and a faster information transfer rate .

稳态视觉电位（SSVEP）是脑机接口技术中一种重要的研究方法。

Steady State Visual Evoked Potential ( SSVEP ) is an important methodology used in brain-computer interface .

脑机接口（Braincomputerinterface，BCI）是连接大脑和计算机或其它电子设备的通信系统，其特点是能够使人在完全不依赖肌肉和外围神经的情况下实现人脑与外界的通信与交流。

Brain-computer Interface ( BCI ) is a communication system that connects brain and computer or other electric equipment . The character of BCI is that it can make a person communicate with the outside world without depending on peripheral nerves and muscle 's normal output channels .

本文研究数字信号处理器（DSP）在基于稳态视觉诱发电位的脑机接口系统中的应用，同时详细介绍了系统的构成及各部分的设计与实现方法，并展示了初步的实验结果。

An application of Digital Signal Processor ( DSP ) in Brain Computer Interface System based on Steady State Visual Evoked Potential ( SSVEP ) is presented in this paper . System design and implementation are described in detail , and results of preliminary test are provided .

JoseMillan：“脑机接口系统使得身体有残疾的人可以与外界进行交流，控制一台设备。”

JOSE MILLAN : " The brain-machine interface is a system that allows disabled people , people suffering from physical disabilities to communicate with world and also to control devices . "

布朗大学开发了名为“脑门（braingate）”的脑机接口，凯茜是参与其临床实验的两名四肢瘫痪的患者之一。

Cathy was one of two tetraplegic patients taking part in a clinical trial of the BrainGate brain-computer interface developed at Brown .

脑机接口（BCI）是一种全新的人机接口方式，它不依赖于脑的正常输出通道（外周神经与肌肉系统），而是直接从大脑获取与外界通讯的信息。

Brain-computer interface ( BCI ) is a brand-new interface between the human brain and the computer . BCIs give their users communication and control channels that do not depend on the brain 's normal output channels of peripheral nerves and muscles , but accepts commands encoded in neurophysiological signals .

JoseMillan：“脑机接口能够为残疾人带来的实际用途可以分为两类：交流，控制实际设备和虚拟设备。其中一个例子就是轮椅。”他表示，他的研究团队设立了两个目标。

JOSE MILLAN : " The practical possibilities that brain-machine interfaces offer to disabled people can be grouped in two categories : Communication , and controlling physical devices and virtual devices . One example is this wheelchair . " He says his team has set two goals .