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A brain-computer interface method for audio-visual dual-channel competition mechanism based on p300

A dual-channel, machine-interface technology, applied in the field of brain-computer interface, can solve the problems of insufficient BCI in audio-visual competition, and achieve the effect of perfect design

Active Publication Date: 2022-08-02
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the research on BCI of audio-visual competition is still insufficient, and the influence effect of competition effect exists in various fields, so it is necessary to propose an innovative experimental paradigm and conduct in-depth research in this direction

Method used

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  • A brain-computer interface method for audio-visual dual-channel competition mechanism based on p300
  • A brain-computer interface method for audio-visual dual-channel competition mechanism based on p300
  • A brain-computer interface method for audio-visual dual-channel competition mechanism based on p300

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Embodiment 1

[0031] The embodiment of the present invention designs a brain-computer interface (BCI) paradigm based on the visual and auditory competition conditions of the P300 signal in the ERP. P300 was first discovered by Sotton in 1965. It belongs to a type of Event-Related Potential (ERP) in EEG. It is called P300 because it is a positive potential that appears in the head 300ms after the evoked stimulus. It reflects the change of human cognitive state. If a different visual or auditory stimulus is added to a repetitive stimulus sequence, the stimulus is called a biased stimulus, and the brain is evoked to respond. The proposed scheme combines the main sensory channels of human beings with sight and hearing, repeats stimulation according to the oddball paradigm, and designs a stimulation paradigm to induce visual and auditory evoked potentials. Through analysis and comparison, it explores the visual and auditory human cognitive process.

[0032] The design process is as follows: aft...

Embodiment 2

[0034] figure 1 It is a schematic diagram of the experimental flow of the present invention. The design includes EEG electrode site selection, reference electrode placement, MATLAB-based Psychtoolbox visual and auditory stimulation output system and Neuroscan EEG acquisition system. The subjects sat in front of the display screen presenting visual stimuli, watched the letter / picture change on the computer screen, and simultaneously output audio stimuli to both ears with headphones. Silently count the number of visual or auditory biased stimuli. When counting biased stimuli, the cognitive processes of the brain are reflected in the electrical signals of the cerebral cortex, resulting in event-related potentials. The Neuroscan EEG acquisition system is used to collect the experimental EEG, and then perform data preprocessing, feature extraction and analysis, compare the difference of event-related potentials under the experimental parameters and the position difference in the ...

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Abstract

The invention discloses a brain-computer interface method based on a P300 audio-visual dual-channel competition mechanism. It is the same monosyllabic letter, and it is output in two channels of in-ear headphones. The sound stimulus is set so that it has the same semantics as the visual stimulus, and the visual and auditory stimuli have the same time; the second paradigm is set as the audiovisual independent paradigm, and the auditory stimulus is still The same monosyllabic letters as in the first paradigm, but the visual stimuli are six geometric figures with different shapes and colors, and these figures have no correlation with the letters of the auditory stimuli; set different stimulus time intervals, stimulus lengths, stimuli The sequence and attention modulation mode are presented; EEG signals are collected through the 64-lead EEG electrode cap, and the EEG signals of the subjects under different tasks are compared to analyze the quantitative and localization of the competitive relationship between visual and auditory perception.

Description

technical field [0001] The invention relates to the field of brain-computer interface, in particular to a brain-computer interface method based on a P300 audio-visual dual-channel competition mechanism. Background technique [0002] Brain-Computer Interface (BCI) is a new type of interaction. Brain-computer interface obtains information not from limbs or neuromuscular but directly from the neuroelectric signals accompanying human brain activity, establishing a human and Peripheral nerve-independent output pathways between surroundings. Brain-computer interfaces are classified into different categories according to the type of signals they rely on, among which the event-related potential-based BCI system (ERP-BCI) is considered to be relatively efficient and stable. [0003] Event-related potential (ERP) is closely related to the brain's processing of specific events. Its amplitude information is contained in the background EEG with relatively large amplitude, which is usua...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/378A61B5/38A61B5/12A61B3/10G06F3/01G06K9/00
CPCG06F3/015A61B5/125A61B3/10A61B5/378A61B5/38G06F2218/12
Inventor 陈露安兴伟明东杨远骋周向通柯余峰刘爽
Owner TIANJIN UNIV
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