Stable state visual sense induced EEG signal processing method

Abstract

The invention discloses a stable state visual sense induced EEG signal processing method comprising the following steps: 1, using an acquisition system to collect EEG signals of a subject under different visual sense frequency stimulation; 2, processing the EEG signals; 3, using a filter bank to filter the pre-processed EEG signals; 4, using a likelihood ratio calculating method to calculate the likelihood ratio between the filtered EEG signals and different visual sense stimulation frequencies, thus obtaining a likelihood ratio group; 5, finding the visual sense stimulation frequency corresponding to the biggest likelihood ratio from the likelihood ratio group, and finishing EEG signal identification. The stable state visual sense induced EEG signal processing method simultaneously uses the filter bank and the likelihood ratio calculation method so as to solve the problems that existing technology is less in identification object number, thus increasing identification object numbers, and improving EEG signal identification accuracy.

Description

technical field [0001] The invention belongs to the field of information technology, and further relates to a method for processing steady-state visually induced EEG signals using a Brain-Computer Interface (BCI) system in the field of life science technology. Through the processing of steady-state visually induced EEG signals, the present invention is finally used for the control of EEG products with steady-state visually induced brain-computer interfaces, such as spelling words, controlling wheelchairs, and controlling robots. Background technique [0002] Steady-state visual evoking is a biofeedback of the brain's visual cortex to flickering stimuli in the visual center. Studies have proved that the flickering stimulus in the visual center can enhance the neural activity of the neuron group in the visual cortex in a specific pattern, thereby regulating the amplitude of the specific frequency component of the EEG signal, and the frequency response is between the frequency ...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the visual stimulation time is relatively long, which will not only cause visual fatigue to the subjects and affect the accuracy of recognition, but also is not suitable for real-time detection.

The disadvantage of this method is that the user's control screen only has four stimulation targets of up, down, left, and right, which means that four different control commands can be realized. However, in practical applications, the four control commands are relatively few, and it is difficult to meet people's requirements.

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