Research on the relationship between brain signal analysis algorithm and invasive brain computer interface

Zhiyang Tian

doi:10.1117/12.2670405

1 June 2023 Research on the relationship between brain signal analysis algorithm and invasive brain computer interface

Zhiyang Tian

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126251W (2023) https://doi.org/10.1117/12.2670405
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

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.

Citation Download Citation

Zhiyang Tian "Research on the relationship between brain signal analysis algorithm and invasive brain computer interface", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126251W (1 June 2023); https://doi.org/10.1117/12.2670405

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