Brain electric and eye electric signal decision fusion method for identifying control intention

A technology that integrates electro-ophthalmic signals and decision-making. It is used in vehicle rescue, transportation and packaging, and electrical and digital data processing. It can solve the problems of wrong identification of control intentions, poor reliability, and low identification accuracy, and improve accuracy. and robustness effects

Inactive Publication Date: 2012-06-27
HANGZHOU DIANZI UNIV
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Problems solved by technology

If motor imagery multi-pattern recognition is only based on electrooculogram signals, eye movements that are not related to motor awareness may also lead to the generation of some motor imagery pattern recognition results, resulting in misidentification of control intentions
[0005] To sum up, the EEG and EOG signals triggered by the same motor imagery process reflect the person's control intention from different aspects, but there is a method for identifying the control intention of the assistive device user based on a single EEG or EOG for motor imagery multi-pattern recognition. The problem of low accuracy rate and poor reliability

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  • Brain electric and eye electric signal decision fusion method for identifying control intention
  • Brain electric and eye electric signal decision fusion method for identifying control intention
  • Brain electric and eye electric signal decision fusion method for identifying control intention

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Embodiment Construction

[0068] The method of the present invention will be further described below according to the accompanying drawings.

[0069] A decision-making fusion method of EEG and EEG signals for recognition of control intentions of users of rehabilitation aids. The method is to place the scalp pick-up electrodes in the EEG pick-up sensors on the 10-20 leads of the International Electroencephalography Society standard. As determined by the system, the C corresponding to the top of the head and the sensorimotor area of ​​the brain 3 、C Z and C 4 position, to collect three channels of EEG signals from users of rehabilitation aids; place the pick-up electrode of an electro-oculogram pickup sensor outside the outer corner of the left eye of the user with assistive devices, and collect one horizontal electro-oculogram signal; the reference electrode is placed on the left The earlobe position, the ground electrode is placed at the earlobe position of the right ear. Three-channel EEG signal EE...

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Abstract

The invention relates to a brain electric and eye electric signal decision fusion method for identifying control intention, comprising the following steps: extracting relative wavelet packet energy of pre-processed EEG (electroencephalogram) as motor imagery feature and taking typical variable of pre-processed EOG (electrooculogram)as motor imagery feature; applying the constructed state classifier based on the motor imagery feature of the EEG to obtain state classification result; and applying the constructed motor imagery multi-class classifier based on the motor imagery feature of the EOG to obtain motor imagery classification result; finally, and using the state classification result obtained by the EEG and the motor imagery classification result obtained by the EOG to perform decision fusion so as to obtain identification result of the control intention represented by the motor imagery. The method of the invention can effectively solve interference for identification result of the control intention caused by eye movement irrelevant to the control intention and improve accuracy of the motor imagery identification and reliability of the control intention information.

Description

technical field [0001] The invention belongs to the field of bioelectrical signal processing, and relates to a processing method for electroencephalogram and electrooculogram signals, in particular to a method for decision fusion of electroencephalogram and electrooculogram signals for control intention recognition. . Background technique [0002] Severely disabled people with severe loss or decline of limb motor function due to disease, accident or aging cannot use traditional human-machine interfaces such as joysticks and touch screens to use rehabilitation aids such as electric wheelchairs and prostheses. The intelligent man-machine interface for natural and harmonious human-computer interaction realizes the control of rehabilitation aids, expands the range of activities, and improves the quality of life. In order for rehabilitation aids to serve human beings intelligently, their human-machine interface system must be able to accurately perceive various control intention...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00A61F2/72A61F4/00A61G5/10
Inventor 孙曜罗志增
Owner HANGZHOU DIANZI UNIV
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