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BCI (Brain-Computer Interface) system based on selective feeling

A brain-computer interface and selective technology, applied in the field of bioinformatics, can solve the problems of difficulty in communication and control between the brain and the external environment, low BCI decoding rate, etc., and achieve the effect of improving the recognition rate, increasing the decoding rate, and expanding the scope of application

Inactive Publication Date: 2014-06-18
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] A challenging problem in the field of brain-computer interface is "BCI Illiteracy" (BCI blindness). Studies have found that roughly 20%-30% of people have a relatively low BCI decoding rate, so that the brain communicates with the external environment through BCI. very difficult to control

Method used

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  • BCI (Brain-Computer Interface) system based on selective feeling
  • BCI (Brain-Computer Interface) system based on selective feeling
  • BCI (Brain-Computer Interface) system based on selective feeling

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Embodiment Construction

[0031] The preferred technical solutions of the present invention will be further described below in conjunction with the accompanying drawings.

[0032] Such as figure 1 with figure 2As shown, the brain-computer interface system includes a display, a vibration stimulator, an EEG cap, information collection equipment, and information processing equipment. The information collection equipment adopts Neuroscan64. The subject sat on the chair after wearing the EEG cap as required, and the monitor was about 1 meter away from the subject's eyes. The sampling frequency of the EEG signal in the brain-computer interface system is set to 250Hz, and a 50Hz notch filter is set to remove power frequency interference. In the experimental process, the screen was all red at the beginning of each test, and a white cross appeared at the same time. After 1 second, the vibration stimulator applied vibration stimulation to the left and right wrists at the same time. The frequency of the sine ...

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Abstract

The invention provides a BCI (Brain-Computer Interface) system based on selective feeling. The BCI system comprises a vibrating module, wherein the vibrating module is used for providing a vibration simulation signal so as to generate a selective feeling signal; an electroencephalogram signal comprises an imagination movement signal and a selective feeling signal; a signal processing module is used for recognizing the imagination movement intention and / or selective feeling intention of a user and generating a brain-computer control signal. According to the BCI system based on the selective feeling, left-hand imagination movement and right-hand selective feeling BCI, a left-hand selective feeling and right-hand imagination movement BCI or a left-hand selective feeling and right-hand selecting BCI is additionally arranged, so that the recognition rate of the electroencephalogram signal of the user is improved, the decoding rate is improved, the brain of the user is capable of performing communication and control together with an external environment by virtue of the BCI; by virtue of combining respective advantages of different types of BCIs, a hybrid BCI is created, and the application range of the BCI is expanded.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to a brain-computer interface system. Background technique [0002] Currently, diseases that damage the brain and neuromuscular pathways due to lesions or accidents are incurable with existing medical conditions. For example, there are about 6 million patients with cerebral palsy in China, and children under the age of 12 account for about 1.8 million. These patients lose the ability to control their limbs and take care of themselves. Brain-Computer Interface (Brain-Computer Interface, BCI) provides the technical basis for manufacturing medical devices that treat and improve the diseases of these patients. Electroencephalogram, EEG) to decode people's intentions, thus realizing the direct communication and control between the brain and the external environment. The feature extraction and recognition of the patient's intention is identified, and then the recognition ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
Inventor 朱向阳姚林盛鑫军孟建军
Owner SHANGHAI JIAO TONG UNIV
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