Brain-computer interface speller by utilization of dynamic stop strategy

A computer interface and strategy technology, applied in the field of brain-computer interface, can solve the problems of affecting the system information transmission rate, unsatisfactory research results, unable to meet the application of real life communication, etc., and achieve the effect of overcoming the low information transmission rate

Inactive Publication Date: 2016-04-27
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the increasing maturity of feature extraction and pattern recognition algorithms, the research on BCI-Speller is more detailed. The information transmission rate is one of the important indicators for evaluating the performance of BCI-Speller system. However, the current research results of BCI-Speller are not ideal. , still can not meet the application of real life communication
The main reason is that in the system design, for the BCI-Speller with fixed instruction set and instruction output mode after a fixed number of visual stimuli, the system speed and correct rate will restrict each other, thus affecting the information transmission rate of the system

Method used

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  • Brain-computer interface speller by utilization of dynamic stop strategy
  • Brain-computer interface speller by utilization of dynamic stop strategy
  • Brain-computer interface speller by utilization of dynamic stop strategy

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Embodiment 1

[0031] A brain-computer interface spelling system under a dynamic stopping strategy, see figure 1 (a), figure 1 (b) and figure 2 , the brain-computer interface spelling system includes: a P300 visual stimulation device 1 , an EEG acquisition system 2 (including EEG electrodes and EEG amplifiers, etc.), and a computer 3 .

[0032] Embodiments of the present invention use the EEG digital acquisition system produced by Neuroscan Corporation (i.e. figure 1 (a) The EEG acquisition system 2) collects EEG, collecting six channels (Fz, Cz, Pz, Oz, P7, P8, see figure 1 (b) EEG data.

[0033] see figure 2 , the user sits quietly on a chair about 1m away from the screen, watching the flickering of the stimulus paradigm on the computer screen (i.e. figure 1 (a) The P300 visual stimulation device 1). During this process, the flashing stimulus corresponding to the target character that the user wants to spell will occur, and the EEG will also produce corresponding changes: EEG signa...

Embodiment 2

[0036] Combined with the following specific mathematical formulas, image 3 , Figure 4 , example The scheme in embodiment 1 is described in detail, see below for details:

[0037] 1. Design of stimulus module

[0038] The P300 induced paradigm of the brain-computer interface spelling system designed in the embodiment of the present invention is written on the Matlab platform, and the stimulus paradigm is as follows: figure 2 shown. The first is the offline model training process. The screen first prompts the user to focus on the target character, and then 6 rows and 6 columns flicker randomly without repetition. After traversing once, it is called a round of flickering, and one round of flickering is called an experiment. Trials (trail), 10 trails complete the flashing process of a character, which is called an experimental group (session).

[0039] The duration of each flicker is 75ms, and the flicker interval is 100ms. The timing of the stimulation paradigm is as follo...

Embodiment 3

[0081] Combine below Figure 5 The scheme in embodiment 1 and 2 is carried out feasibility verification, see the following description for details:

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Abstract

The present invention discloses a brain-computer interface speller by utilization of a dynamic stop strategy. The brain-computer interface speller comprises a P300 visual stimulation device, an EEG acquisition system and a computer. The P300 visual stimulation device is used for generating flicker stimulation on target characters, which a user wants to spell, in a flicker stimulation mode. The EEG acquisition system is used for detecting EEG signals and performing amplification and filtering processing. The computer is used for receiving the processed EEG signals transmitted by the EEG acquisition system, extracting visual evoked P300 potential characteristic signals from the processed EEG signals, and determining whether to output the target characters according to the visual evoked P300 potential characteristic signals and threshold values of the dynamic stop strategy on the basis of the Bayes rule. The defect of low information transmission rate of a traditional static flicker stimulation mode is overcome, the brain-computer interface speller is more practical, key technology guarantee is expected to provide for a novel BCI-Speller, and foundation is laid for rapid wide-range application of the brain-computer interface.

Description

technical field [0001] The invention relates to the field of brain-computer interface, in particular to a brain-computer interface spelling system under a dynamic stopping strategy. Background technique [0002] The definition of BCI given by the first Brain-Computer Interface (BCI) International Conference is: "BCI is a communication control system that does not depend on the normal output channels of the brain's peripheral nerves and muscles." The current research results Among them, it mainly collects and analyzes human EEG signals in different states, and then uses certain engineering techniques to establish a direct communication and control channel between the human brain and computers or other electronic devices, thereby realizing a new Advanced information exchange and control technology, that is, you can express your will or manipulate external devices directly through brain power control without language or body movements. For this reason, BCI technology has also ...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06F3/023
CPCG06F3/015G06F3/0233
Inventor 明东王仲朋陈龙郭仡赵雅薇许敏鹏綦宏志周鹏杨佳佳何峰张力新
Owner TIANJIN UNIV
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