Steady-state motor-evoked potential brain-computer interface method based on isoluminous color enhancement

Abstract

A steady-state motor-evoked potential brain-computer interface method based on equal-brightness color enhancement, using the equal-brightness color checkerboard stimulation paradigm, using a sinusoidal method to realize the contraction-expansion movement of the checkerboard, and collecting user gaze stimuli through EEG acquisition equipment The EEG signal generated during patterning is amplified, filtered and A / D converted, and the processed EEG signal is input to the computer, and the collected EEG signal is extracted and classified by using typical correlation analysis. , the invention integrates visual information such as color, brightness, shape, motion, etc., reduces the user's visual fatigue, improves the EEG signal-to-noise ratio, and has a higher accuracy rate for gazing target recognition, and has the characteristics of low flicker and low adaptability , which can improve the interactive performance of the brain-computer interface.

Description

Technical field [0001] The invention relates to the technical field of medical information intelligent processing, in particular to a steady-state motor evoked potential brain-computer interface method based on iso-brightness color enhancement. Background technique [0002] Brain-computer interface technology (BCI) commonly used methods include motor imagery (MI), P300 event-related potential, transient visual evoked potential (tVEP), steady-state visual evoked potential (SSVEP), etc. In contrast, the number of electrodes required for steady-state visual evoked potential is less, users do not need long-term training, and the recognition accuracy is higher. However, SSVEP-based brain-computer interfaces often use stimulation methods such as light flickering or graphic flipping, which easily cause visual fatigue of users and reduce brain response, which limits its further application. In recent years, some scholars have proposed a brain-computer interface paradigm based on motion ...

AI Technical Summary

Problems solved by technology

However, the pattern in the central area of ​​the Newton ring destroys the property that the Newton ring maintains a constant brightness during the movement, reduces the spectral peak signal-to-noise ratio, and is not conducive to reducing the visual fatigue of the user.

[0003] Considering the limitations of SSVEP and SSMVEP, and the perception function of equal brightness of the human eye, that is, the two colors will fuse at the point of equal brightness, and the perception of flicker by the human eye will be minimized, the present invention designs a color checkerboard with equal brightness Stimulation paradigm, there is no publication of relevant literature that combines the two technologies of motor visual evoked potential and color stimulation

Images