Hybrid brain-computer interface method based on steady state motion visual evoked potential and default stimulation response

Abstract

The invention discloses a hybrid brain-computer interface method based on steady state motion visual evoked potential and default stimulation response. The method includes the steps that 1, a testee wears an electrode cap, a reference electrode, a ground electrode and a testing electrode on the electrode cap make contact with the head of the testee, and the vision and the computer screen are in the eye level through visual inspection; 2, a steady state motion visual evoked potential and default stimulation response mixed normal form program is compiled through MATLAB in advance, the testee selects a stimulation target to stare according to a target prompt, and electroencephalogram signals acquired by the electrode cap are stored in a computer; 3, steady state motion visual evoked potential features and default stimulation response features are subjected to feature extraction respectively, and then the stimulation target is subjected to classified recognition; 4, the computer screen displays the stimulation target recognition result, and visual feedback is conducted on the testee; 5, the steps are repeated, and the next round is conducted till the program is ended. According to the hybrid brain-computer interface method, two types of feature recognition information is adopted, and the method has the advantages that operation is simple, less training time is needed, and less electrodes are needed.

Description

technical field [0001] The present invention relates to the field of Brain-Computer Interface (Brain-Computer Interface, BCI) technology, in particular to a hybrid brain-computer interface based on steady-state motor visual evoked potential (steady-state motor visual evoked potential) and default stimulus response (default stimulus response). machine interface method. Background technique [0002] Brain Computer Interface (BCI) is to establish a direct communication and control channel between the human brain and computers or other electronic devices. Through this channel, people can express ideas or manipulate devices directly through the brain, while It does not require the assistance of speech or movement, which is undoubtedly a boon for many disabled people and even more serious neuronecrosis patients, providing them with the possibility to communicate with the outside world. Brain-computer interface technology was formed in the 1970s. It is an interdisciplinary technol...

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Problems solved by technology

Different commands can be obtained by changing the stimulation frequency of the movement, but due to the low-pass filtering effect of the brain, the system can only use the low-frequency region below 30Hz, and due to the limitation of the refresh rate of the display screen and the stimulation of a certain frequency For problems such as poor response amplitude, it can be used for steady-state motor visual evoked potential-the stimulation frequency of the BCI system is not much

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