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Motor imagery Boolean decision-making brain-computer interface method capable of resisting individual differences

A technology of motor imagery and brain-computer interface, which is applied in vehicle rescue, patient chairs or special transportation tools, medical transportation, etc., to achieve a wide range of applications, a small amount of calculation, and the effect of improving reliability

Active Publication Date: 2020-11-27
INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a motor imagery Boolean decision-making brain-computer interface method that can resist individual differences, which can effectively solve the problem of brain-computer interface decision-making accuracy

Method used

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  • Motor imagery Boolean decision-making brain-computer interface method capable of resisting individual differences
  • Motor imagery Boolean decision-making brain-computer interface method capable of resisting individual differences
  • Motor imagery Boolean decision-making brain-computer interface method capable of resisting individual differences

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Embodiment Construction

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] The design concept of the present invention comprises two parts: (1) extract the significant steady-state distinguishing feature quantity of the double-action motor imagery EEG data through experiments, and obtain the positive and negative sign of the difference between the feature quantity of the double-action, as a decision-making comparison; (2) ) when performing brain-computer interface control, enables the user to select the double-action sequence for implementing motor imagery according to the decision-making comparison, collects EEG to extract feature quantities to obtain the sign of the difference, that is, a Boolean variable, and gives instructions to the machine based on this variable.

[0030] Based on the above design ideas, the present invention provides a motor imagery Boolean decision-making brain-computer interface method that can resist...

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Abstract

The invention relates to a motor imagery Boolean decision-making brain-computer interface method capable of resisting individual differences. The method is technically characterized by comprising thefollowing steps: collecting electroencephalogram data through a double-action motor imagery electroencephalogram experiment, extracting a significant steady-state distinguishing characteristic quantity of the double-action motor imagery electroencephalogram data, obtaining a sign of the difference of the characteristic quantity of double actions, and taking the sign as a decision contrast; when brain-computer interface control is carried out, a double-action sequence for implementing motor imagery is selected according to decision contrast, electroencephalogram extraction characteristic quantity is collected to obtain a difference value sign as a Boolean variable, and a control command is sent to double-instruction control equipment according to the Boolean variable. The method is reasonable in design and high in decision accuracy, has the advantage of individual difference resistance, not only improves the reliability of the brain-computer interface double-instruction system based onthe motor imagery, but also has the characteristics of small calculation amount, quickness and effectiveness, and has important application value in the field of brain-computer interface decision based on the motor imagery.

Description

technical field [0001] The invention belongs to the technical field of brain-computer interface, in particular to a motor imagery Boolean decision-making brain-computer interface method that can resist individual differences. Background technique [0002] Brain-Computer Interface (BCI) is a system that detects the electrophysiological signals of the central nervous system and processes the signals as an artificial output. Its control signal comes directly from the central nervous system and converts it into an external control signal. way of communication and control. Motor imagery is a special brain working state, which can cause the excitement of the motor nerve center, but does not involve any real action. For people who have lost their motor ability, this provides the possibility of regaining their motor ability. The current BCI technology is mainly divided into active BCI technology and passive BCI technology. Passive BCI technology such as SSVEP technology has high d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/62A61B5/0476A61B5/0484A61G5/10
CPCG06F3/015A61B5/7203A61B5/7225A61B5/725A61G5/1051A61G2203/18G06F18/24
Inventor 李婷徐圣普赵星蒲江波罗维
Owner INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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