握力握速和FMRI环境下的任务状态对脑活动的影响

发布时间：2018-01-07 13:02

本文关键词：握力握速和FMRI环境下的任务状态对脑活动的影响　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

更多相关文章： 动态脑网络 ELM FMRI 光纤传感器

【摘要】：目前的脑机接口研究主要是集中在多领域多技术多模式的融合中进行的复杂研究,既有BCI的多种运动大小速率的研究,也有FMRI环境下的任务状态对脑活动的影响,虽然很多在研工作已经走出了实验室,甚至进行了产业化发展,然而,很多工作并不精细。本文探讨了握力握速和FMRI环境下的任务状态对脑活动的影响,得到了良好的结论,这对于未来脑电和FMRI的融合技术形成重大意义。论文的主要内容如下:主要在以下几个方面展开研究,并取得了一定的成果:(1)基于脑机接口研究握力及想象对脑电活动的调制机理,通过右手实际握力和想象握速的三种任务状态进一步证实握速及想象的脑电活动是可以区分的,且握力值的大小也会对脑电值产生影响。通过CSP特征提取、SVM分类和脑网络分析方法识别握速运动及想象是有效的,尤其是SVM分类最高可达SVM分类最高可达92%,握力及想象对运动对侧脑区产生重要影响,将对脑电精细控制产生重要影响。(2)基于脑机接口研究握速及想象对脑电活动的调制机理,通过左右手实际握速和想象握速的三种任务状态进一步证实握速及想象的脑电活动是可以区分的,且握速值的大小也会对脑电值产生影响。通过CSP特征提取、SVM分类和脑网络分析方法识别握速运动及想象是有效的,尤其是SVM分类最高可达93%,握速及想象对运动对侧脑区产生重要影响,该研究的思路和方法可望做后续的相关研究(3)综合前人的研究基础,综述了 FMRI对脑活动的调制研究,明确了 FMRI可以提供更直接和更精确的测量大脑活动的快速变化,从而有助于BCI的发展,更提出了用于研究功能核磁共振环境下的脑区激活分布和脑网络连接的握力球。
[Abstract]:The current BCI research is mainly focused on the multi-domain multi-technology and multi-mode fusion of the complex research, there are a variety of BCI research on the size and speed of motion. There is also the impact of task status on brain activity in the FMRI environment, although a lot of research work has been out of the laboratory, even industrial development, however. A lot of work is not elaborate. This paper discusses the impact of grip grip speed and task state in FMRI environment on brain activity, and draws a good conclusion. This is of great significance for the future of EEG and FMRI fusion technology. The main contents of this paper are as follows: mainly in the following aspects of research. Some achievements were obtained: (1) based on brain-computer interface, the modulation mechanism of grip force and imagination to EEG activity was studied. Through the right hand actual grip strength and imaginary grip speed of the three task states further confirmed that grip speed and imaginary EEG activity can be distinguished and the size of grip force value will also affect the EEG value. CSP feature extraction. SVM classification and brain network analysis are effective in identifying grip motion and imagination, especially in SVM classification up to 92% SVM classification. Grip strength and imagination have an important effect on the contralateral brain area, which will have an important effect on the fine control of EEG.) based on the brain-computer interface, the modulation mechanism of grip speed and imagination to EEG activity is studied. Through the left and right hand grip speed and imagination grip speed of the three mission states further confirmed that grip speed and imaginary EEG activity can be distinguished. And the size of the holding speed will also affect the EEG value. It is effective to identify the grip motion and imagination by CSP feature extraction and brain network analysis. In particular, the SVM classification can be up to 93 percent, grip speed and imagination have an important impact on the contralateral motor brain area. In this paper, the modulation of brain activity by FMRI is reviewed. It is clear that FMRI can provide more direct and accurate measurement of the rapid changes of brain activity, thus contributing to the development of BCI. Furthermore, a gripping ball was proposed to study the distribution of brain activation and the connections of brain networks under functional nuclear magnetic resonance (fMRI).
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP181;R318

【参考文献】