A Boolean decision-based brain-computer interface method for motor imagery that can resist individual differences

Abstract

The invention relates to a motor imagery Boolean decision-making brain-computer interface method that can resist individual differences. Its technical characteristics are: collecting EEG data through double-action motor imagery EEG experiments, and extracting significant steady-state discrimination of double-action motor imagery EEG data Feature quantity, obtain the positive and negative sign of the difference between the feature quantity of the double action and use it as a decision-making comparison; when performing brain-computer interface control, select the double-action sequence for implementing motor imagination according to the decision-making comparison, and collect EEG to extract the feature quantity to obtain the difference The positive and negative signs are used as Boolean variables, and control commands are sent to the dual-instruction control equipment according to the Boolean variables. The invention has reasonable design, high decision-making accuracy, and the advantages of resisting individual differences. It not only improves the reliability of the brain-computer interface dual-instruction system based on motor imagery, but also has the characteristics of small amount of calculation, fast and effective. The field of brain-computer interface decision-making based on motor imagery has important application value.

Description

technical field [0001] The invention belongs to the technical field of brain-computer interface, in particular to a Boolean decision-making brain-computer interface method for motor imagery that can resist individual differences. Background technique [0002] Brain-computer interface (BCI) is a system that detects electrophysiological signals in the central nervous system and processes the signals as artificial output. Its control signals come directly from the central nervous system and are converted into external control signals. communication and control. Motor imagery is a special working state of the brain, which can cause the excitation of motor nerve centers, but does not involve any real movements. For people who have lost motor ability, it provides the possibility of regaining motor ability. The current BCI technology is mainly divided into active BCI technology and passive BCI technology. Passive BCI technology such as SSVEP technology has high decision-making ac...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a motor imagery Boolean decision-making brain-computer interface method that can resist individual differences, which can effectively solve the problem of brain-computer interface decision-making accuracy

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