论文标题
利用基于脑电图的大脑连接性研究脑部计算机界面中的大脑动力学
Using EEG-based brain connectivity for the study of brain dynamics in brain-computer interfaces
论文作者
论文摘要
大脑连通性的分析旨在了解功能网络进入大脑的出现。该信息可用于脑收缩器界面（BCI）的脑电图（EEG）信号分析和分类。这些系统为有运动障碍的人提供了替代的沟通和控制渠道。在本文中，提出了在BCI环境中使用大脑连接性作为一种工具的四种策略，以更深入地了解大脑机制，并主要目的是开发针对步态神经界定的方案与不同的神经技术和不同神经技术和外骨骼结合的方案。该计划将允许改善当前方案和/或设计新的控制策略以及康复方法。
The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer interface (BCI). These systems provide an alternative channel of communication and control to people with motor impairments. In this article, four strategies for using the brain connectivity in a BCI environment as a tool to obtain a deeper understanding of the cerebral mechanisms are proposed, with the principal aim of developing a scheme oriented to neuro-rehabilitation of gait in combination with different neurotechnologies and exoskeletons. This scheme would allow improving current schemes and/or to design new control strategies, as well as rehabilitation approaches.
