脑机接口应用中反馈调节的心理表象:使用无创EEG和NIRS信号Feedback-Regulated Mental Imagery in BCI Applications: Using Non-Invasive EEG and NIRS Signals |
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课程网址: | http://videolectures.net/bbci09_neuper_frmi/ |
主讲教师: | Christa Neuper |
开课单位: | 格拉茨大学 |
开课时间: | 2009-08-10 |
课程语种: | 英语 |
中文简介: | 大脑计算机接口(BCI)开发的一个重要问题是检测与特定意图或思维过程有关的大脑信号变化。例如,精神运动图像调节感觉运动性大脑活动,并且检测到的变化可用于操作计算机控制的设备。该技术的临床应用包括恢复运动,例如在严重瘫痪的个体中借助神经假体控制抓握。基于运动图像的BCI训练可能进一步可用作辅助治疗工具,以促进中风后的功能恢复。迄今为止,大多数BCI系统都依赖于EEG记录。但是,近红外光谱(NIRS)由于其无创性,便携性,较短的制备时间和相对较低的成本,最近引起了BCI研究人员的关注。在本演讲中,我将简要介绍用于BCI开发的NIRS技术,并提供有关如何通过实时NIRS反馈来调节运动图像中特征性血流动力学响应的数据。基于最近的结果,我将最终讨论同时进行NIRS和EEG录音如何结合两种方法的优势。 p> |
课程简介: | An important issue of brain-computer interface (BCI) development is to detect changes in brain signals that are related to specific intentions or thought processes. For example, mental motor imagery modulates the sensorimotor brain activity, and the detected changes can be used to operate a computer-controlled device. Clinical applications of this technology include the restoration of movement, such as control of grasping with the help of a neuroprosthesis, in severely paralyzed individuals. The motor imagery based BCI training may further be useful as a complementary therapeutic tool to facilitate functional recovery after stroke. To date, the majority of BCI systems rely on EEG recordings. However, near-infrared spectroscopy (NIRS) has recently attracted attention of BCI researchers due to its noninvasiveness, portability, short preparation time, and relatively low cost. In this talk I will shortly introduce the NIRS technique for BCI development and present data on how characteristic hemodynamic responses during motor imagery can be modulated by real-time NIRS feedback. Based on recent results I will finally discuss how simultaneous NIRS and EEG recordings might combine advantages of both approaches. |
关 键 词: | 大脑计算机接口; BCI; NIRS技术 |
课程来源: | 视频讲座网 |
数据采集: | 2021-01-28:nkq |
最后编审: | 2021-01-28:nkq |
阅读次数: | 51 |