Design method of motor imagery training man-machine interactive system based on electrooculogram and electroencephalogram

Abstract

The invention discloses a design method of a motor imagery training man-machine interactive system based on electrooculogram and electroencephalogram. The invention provides the method aiming at dyskinesia paints, and being capable of realizing timely and effective recognition and feedback on the brain motor imagery state. According to the method, in the imagination process for the upper limb movement of the brain, a signal collecting device acquires electroencephalogram and electrooculogram signal change data of the human body completing the specific upper limb movement, the electroencephalogram and electrooculogram signal change data is stored into a personalized database to be taken as an information source, then feature extraction is carried out on the electroencephalogram signals and the electrooculogram signals, the two types of features are fused by utilizing the criterion based on an information fusion scheme, the fused features are taken as the new motor imagery features, then the new motor imagery features are identified, and thus the identification on the motor imagery state of the human body completing the specific movement is realized.

Description

technical field [0001] The invention belongs to the field of bioelectrical signal processing and relates to the current rehabilitation medical treatment. When the human body completes a specific action, the system fuses the electroencephalogram signal and the electrooculogram signal to perform pattern recognition, and at the same time feeds back the recognition result to the user to assist the user to complete the upper limb The motor imagery training of the invention specifically relates to a design method of a human-computer interaction system for motor imagery training based on eye electricity and brain electricity. Background technique [0002] The human-computer interaction system records the EEG signal of the user's motor imagery by the acquisition system, and then transmits it to the signal processing system to obtain the signal feature vector and perform pattern recognition. Finally, the pattern recognition result is sent to the neurofeedback device. The neurofeedback...

AI Technical Summary

Problems solved by technology

However, human eyes sometimes move unconsciously. At this time, the brain does not perform motor imagination. The electrooculogram signal at this time cannot assist in the recognition of EEG signals, but will mislead the recognition of EEG signals.

[0005] The method of fusing the effective information contained in the EEG signal and the EEG signal can eliminate the misleading caused by the unconscious EEG signal, improve the recognition accuracy of the EEG signal, and conduct pattern recognition on the EEG signal of different individuals in a timely and accurate manner. At present, the construction method of this type of algorithm still needs further research and exploration.

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