Brain-computer interface communication system based on asymmetric visual evoked potential

Abstract

The invention discloses a brain-computer interface communication system based on asymmetric visual evoked potential. The system comprises a liquid crystal display, an electroencephalogram electrode, an electroencephalogram amplifier and a computer processing platform, wherein the liquid crystal display is used for displaying a stimulation interface; the electroencephalogram electrode is used for collecting an electroencephalogram biological signal; the electroencephalogram amplifier is used for amplifying the signal through the electroencephalogram amplifier and inputting the amplified signal into a computer after carrying out filtering; the computer processing platform is used for designing and executing commanding codes based on a peripheral view asymmetric visual stimulation according to induction characteristics of the asymmetric VEP (Visual Evoked Potential), and finally, the electroencephalogram signal is decoded and converted into a BCI (Brain-Computer Interface) instruction to be output. Compared with a traditional visual BCI system, the brain-computer interface communication system based on asymmetric visual evoked potential can reduce the visual feeling of fatigue of a subject, meanwhile, the information transmission efficiency of the BCI system is improved, a perfect brain-computer interface system can be obtained through further researches, and considerable social benefits and economic benefits can be possibly caused.

Description

technical field [0001] The invention belongs to the technical field of computer-based biological communication, in particular to a brain-computer interface communication protocol system based on asymmetric visual evoked potential. Background technique [0002] Brain-Computer Interface (BCI) is a system that directly converts central nervous system activity into artificial output, which can replace, repair, enhance, supplement or improve the normal output of the central nervous system, thereby improving the central nervous system and The interaction between internal and external environments. By collecting and analyzing the EEG signals of subjects under different stimuli, certain engineering techniques are used to establish communication and control channels between the human brain and computers or other electronic devices. BCI technology realizes a new way of information interaction and control, which can provide a way for the disabled, especially those with impaired basic ...

AI Technical Summary

Problems solved by technology

[0004] However, the stimuli of the traditional visual brain-computer interface all appear in the central visual field of the subject, which is easy to cause visual fatigue and occupies most of the visual information input channels of the subject, so it is not conducive to the user's long-term operation and Multitasking

At the same time, the traditional visual BCI uses symmetrical stimulation to induce EEG, which makes the EEG features easily affected by common mode noise, which is not conducive to the extraction of feature signals.

Images