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Method for improving electroencephalogram awakening degree based on implementation of 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 problems such as low arousal degree of EEG and failure to achieve control accuracy, and achieve high participation and brain power. The effect of obvious electrical carrying characteristics and high average recognition accuracy of EEG

Active Publication Date: 2020-05-15
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

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  • Method for improving electroencephalogram awakening degree based on implementation of boundary avoidance task model
  • Method for improving electroencephalogram awakening degree based on implementation of boundary avoidance task model
  • Method for improving electroencephalogram awakening degree based on implementation of 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 invention provides a method for improving the electroencephalogram awakening degree based on implementation of a boundary avoidance task. The method comprises the following steps: establishing a'cup-ball 'dynamic complex model; a boundary avoidance task with visual guidance is implemented in a virtual environment. Collecting electroencephalogram signals of the subject in the process of completing the boundary avoidance task; the electroencephalogram classification precision is used as an index for measuring the high or low electroencephalogram awakening degree; electroencephalogram data isdivided into a test set and a training set, a CSP algorithm is used for carrying out feature optimization on the training data and the test data, the optimized training data is used for training a classifier, a classification model is obtained, finally, the test data is used for verifying the classification performance of the model, and the classification precision is obtained. By utilizing the method provided by the invention, the participation degree of the testee is high, the electroencephalogram carrying characteristic is more obvious, the average electroencephalogram recognition precision of the testee is higher than that of a motor imagery task under the condition of fewer training tests, and the electroencephalogram recognition effect is still higher under the condition of a smallsample.

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 Applications(China)
IPC IPC(8): G06F3/01G06K9/00G06K9/62A61B5/0476
CPCG06F3/015G06F2203/011A61B5/369G06F2218/02G06F2218/08G06F2218/12G06F18/2411
Inventor 付荣荣于宝王世伟
Owner YANSHAN UNIV
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