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脑机接口:神经电活动在线判别算法

Towards Brain Computer Interfacing: Algorithms for on-line Differentiation of Neuroelectric Activities
课程网址: http://videolectures.net/nips09_muller_tbc/  
主讲教师: Klaus Robert Müller
开课单位: 柏林工业大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
脑机接口(BCI)旨在利用脑信号控制物体、拼写、游戏等。本演讲将首先从机器学习和信号处理的角度简要介绍脑机接口。特别是,它显示了可用数据的丰富性、复杂性和困难性,这是一个真正巨大的挑战:实时处理多变量、噪声污染非常严重的数据流,并实时准确区分神经电活动。 最后,我更详细地报告了基于EEG信号的柏林脑机(BBCI)接口,该接口从测量信号、预处理和滤波、分类到各自的应用,一直带着观众。脑机接口作为一种新的人机交流渠道,在临床环境和游戏中进行了讨论。
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 talk will first provide a brief overview of Brain Computer Interface from a machine learning and signal processing perspective. In particular it shows the wealth, the complexity and the difficulties of the data available, a truly enormous challenge: In real-time a multi-variate very strongly noise contaminated data stream is to be processed and neuroelectric activities are to be accurately differentiated in real time. 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. Â BCI as a new channel for man-machine communication is discussed in a clinical setting and for gaming.
关 键 词: 脑机接口; 机器学习; 人机交流
课程来源: 视频讲座网
数据采集: 2023-07-23:chenjy
最后编审: 2023-07-23:chenjy
阅读次数: 12