Hybrid brain-computer interface method based on ssvep and osp

A computer interface, PO4 technology, applied in the field of brain-computer interface, can solve the problems of limited display screen refresh frequency and response amplitude, low target frequency, etc., to achieve the effect of fewer electrodes, parameter optimization of paradigm, and simple operation

Active Publication Date: 2017-11-28
深圳睿瀚医疗科技有限公司
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Problems solved by technology

Moreover, limited by the refresh rate of the display screen and the response amplitude, there are fewer target frequencies that can be used for SSVEP identification.

Method used

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  • Hybrid brain-computer interface method based on ssvep and osp
  • Hybrid brain-computer interface method based on ssvep and osp
  • Hybrid brain-computer interface method based on ssvep and osp

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Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] The hybrid brain-computer interface method based on SSVEP and OSP includes the following steps:

[0037] Step 1, refer to figure 1 , the subject wears the electrode cap and sits directly in front of the computer. The distance between the subject's head and the computer screen is 60-80 cm. All electrodes are placed according to the "international 10 / 20 standard lead system". The placement method is as follows: figure 2 As shown, the recording electrode is located in the occipital region of the brain, including O1, Oz, O2, POz, PO4, and PO8. The reference electrode is located in the earlobe of the left ear, and the ground electrode is Fpz. Inject conductive paste into the recording electrode, reference electrode, and ground electrode, and Make sure it is in good contact with the scalp;

[0038] Step 2, play the SSVEP-OSP mixed paradigm in front of the subject...

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Abstract

Based on the hybrid brain-computer interface method of SSVEP and OSP, the subject wears the electrode cap, and plays the SSVEP-OSP hybrid paradigm in front of the subject through the computer screen. The EEG signal generated when the subject stares at the stimulus target is amplified, filtered, and converted from analog to digital by the EEG acquisition instrument, and then the digitized EEG data is input into the computer, and then the EEG signal feature extraction based on canonical correlation analysis is adopted. The method realizes the extraction and classification recognition of SSVEP features, uses the support vector machine and naive Bayesian analysis to realize the extraction and recognition of OSP features, displays the recognition results on the screen to feed back to the subjects, and then performs the next recognition, the present invention It can significantly improve the information transmission rate of the SSVEP-based brain-computer interface method, and has the advantages of simple operation, fewer electrodes and more targets.

Description

technical field [0001] The present invention relates to the technical field of Brain-Computer Interface (Brain-Computer Interface, BCI), in particular to a hybrid Brain-Computer Interface method based on SSVEP and OSP. Background technique [0002] Brain Computer Interface (BCI) is a communication system that directly converts brain activity signals into command or control signals. Using brain-computer interface technology, neuromuscular pathways can be bypassed, and brain activity signals can be directly converted into instructions or control signals to control external devices, which provides the possibility for people who have lost the ability to communicate with the outside world due to disabilities to communicate with the outside world sex. Therefore, the research on the brain-computer interface is a hot spot in the research of rehabilitation medicine in recent years. On the other hand, brain-computer interface technology has also shown important potential application...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
Inventor 王晶武颖莹郭晓辉徐光华
Owner 深圳睿瀚医疗科技有限公司
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