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脑机接口

Brain Computer Interfaces
课程网址: http://videolectures.net/mlss06au_muller_bci/  
主讲教师: Klaus Robert Müller
开课单位: 柏林理工大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
脑机接口(Brain - Computer interface, BCI)旨在利用大脑信号进行物体控制、拼写、游戏等。本教程将首先简要概述当前的BCI研究活动,并提供侵入性和非侵入性BCI系统的最新发展细节。在第二部分——从生理学家的角度——提供了必要的神经/神经物理背景,并讨论了医学应用。第三部分——现在从机器学习和信号处理的角度——展示了可用数据的丰富、复杂和困难,这是一个真正巨大的挑战。实时地对多变量噪声污染严重的数据流进行处理和分类。本教程的主要重点是特征提取/选择和预处理,其中包括CSP和ICA方法等技术。最后,我更详细地报告了基于脑电图信号的柏林脑机(BBCI)接口,并带观众从测量信号,预处理和滤波,分类到各自的应用。BCI通信是在临床环境和游戏中讨论的。
课程简介: Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This tutorial will first provide a brief overview of the current BCI research activities and provide details in recent developments on both invasive and non-invasive BCI systems. In a second part -- taking a physiologist point of view -- the necessary neurological/neurophysical background is provided and medical applications are discussed. The third part -- now from a machine learning and signal processing perspective -- shows the wealth, the complexity and the difficulties of the data available, a truely enormous challenge. In real-time a multi-variate very noise contaminated data stream is to be processed and classified. Main emphasis of this part of the tutorial is placed on feature extraction/selection and preprocessing which includes among other techniques CSP and also ICA methods. Finally, I report in more detail about the Berlin Brain Computer (BBCI) Interface that is based on EEG signals and take the audience all the way from the measured signal, the preprocessing and filtering, the classification to the respective application. BCI communication is discussed in a clincial setting and for gaming.
关 键 词: 脑机接口; 研究活动; 临床环境
课程来源: 视频讲座网
数据采集: 2022-11-23:chenjy
最后编审: 2022-11-23:chenjy
阅读次数: 44