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A method of improving brain electrical arousal based on implementing a boundary avoidance task model

A technology of task model and arousal degree, which is applied in pattern recognition in signals, mechanical mode conversion, electrical digital data processing, etc., can solve the problems of unreachable control accuracy and low EEG arousal degree, and achieve obvious carrying characteristics of EEG , high degree of participation, and high average recognition accuracy of EEG

Active Publication Date: 2021-02-02
YANSHAN UNIV
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Problems solved by technology

However, the function of the simple feedback-free "motor imagery" paradigm varied considerably between subjects, with some potential users having too low EEG arousal to achieve feasible control precision, which to some extent limits its application

Method used

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  • A method of improving brain electrical arousal based on implementing a boundary avoidance task model
  • A method of improving brain electrical arousal based on implementing a boundary avoidance task model
  • A method of improving brain electrical arousal based on implementing a boundary avoidance task model

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Embodiment Construction

[0038] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0039] A method of improving brain electrical arousal based on the implementation of the boundary avoidance task model of the present invention, its overall flow chart is as follows figure 1 As shown, the method includes the following steps:

[0040] Step 1. Establish a boundary avoidance task model:

[0041] Conceptualize the moving cup scene as a boundary avoidance task model, as figure 2 Shown: Simplify the cup into an arc, simplify the water in the cup into a ball with a smaller mass, the radius of the arc is much larger than the radius of the ball, the arc and the ball form a dynamic complex system, called the boundary avoidance task model, and use this model to simulate the task of actually moving the cup. Among them, the water cup is limited to move in a straight line along the horizontal direction. When the water cup is subjected to a certain force in the ho...

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Abstract

The present invention provides a method for improving EEG arousal based on implementing boundary avoidance tasks. By establishing a dynamic and complex model of "water cup-ball", implementing visually guided boundary avoidance tasks in a virtual environment, collecting the subjects' progress in completing the boundary To avoid the EEG signal during the task, the EEG classification accuracy is used as an index to measure the high or low degree of EEG arousal, the EEG data is divided into a test set and a training set, and the CSP algorithm is used to optimize the characteristics of the training data and test data , and then use the optimized training data to train the classifier to obtain a classification model, and finally use the test data to verify the classification performance of the model to obtain the classification accuracy. Utilizing the method proposed by the present invention, the subject's participation is high, the EEG carrying characteristics are more obvious, and the subject's EEG average recognition accuracy is higher than that of the motor imagination task under the condition of fewer training trials, and, in a small sample In this case, the EEG recognition effect is still high.

Description

technical field [0001] The invention relates to the field of biological signal processing, in particular to a method for improving brain electrical arousal based on implementing a boundary avoidance task model. Background technique [0002] Electroencephalogram is a graph obtained by amplifying the spontaneous biopotential of the brain from the scalp through sophisticated electronic instruments. It is the spontaneous and rhythmic electrical activity of brain cell groups recorded by electrodes. The evaluation of brain activity is of great significance, and it is an important clinical tool for studying the functional state of the brain, and for the diagnosis and detection of neurological diseases. In EEG research, a key step is to design a reasonable experimental paradigm to improve the arousal of EEG. [0003] In cognitive neurorehabilitation, the "motor imagery" paradigm is often used to improve the cognitive dysfunction of stroke patients. In the process of motor imagery, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06K9/00G06K9/62A61B5/369
CPCG06F3/015G06F2203/011A61B5/369G06F2218/02G06F2218/08G06F2218/12G06F18/2411
Inventor 付荣荣于宝王世伟
Owner YANSHAN UNIV
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