脑信号分析算法与侵入式脑机接口的关系研究

Zhiyang Tian
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引用次数: 0

摘要

在现代科学技术的创新和发展中,对人脑功能的认识越来越深入,并与其他先进的技术理论相融合。其中,最具代表性的研究领域是脑机接口。根据实践积累的经验,当人在计划进行某种行为时,大脑会产生相应的生理信号,而正是由于这些生理信号能够反映人的意图,并利用神经系统控制肌肉来实现人的意图。在研究相关技术时,研究人员希望开发出一种能够直接获取人脑生理信号并将其转化为控制信号进行直接外部控制的系统。这个系统被称为脑机接口系统。本文在了解脑机接口系统发展现状的基础上,根据系统功能和总体结构对系统的应用性能进行了全面验证,并利用Matlab软件对被测者的脑电信号进行了分析,最终取得了较好的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the relationship between brain signal analysis algorithm and invasive brain computer interface
In the innovation and development of modern science and technology, the cognition of human brain function is getting deeper and deeper, and it is integrated with other advanced technology theories. Among them, the most representative research field is brain-computer interface. According to the accumulated experience of practice, when people are planning to carry out a certain behavior, the brain will produce the corresponding physiological signals, and it is because of these physiological signals can reflect people's intention, and use the nervous system to control the muscle to achieve the human intention. When researching related technologies, researchers want to develop a system that can directly obtain the physiological signals of the human brain and convert them into control signals for direct external control. This system is called the brain-computer interface system. In this paper, based on the understanding of the development status of braincomputer interface system, the application performance of the system is comprehensively verified according to the system function and overall structure, and the EEG signal of the detected is analyzed by using Matlab software, and finally achieved a good accuracy.
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