Multi-frequency time sequence combined steady-stage visual evoked potential brain-computer interface method

A steady-state visual evoked, multi-frequency technology, applied in the field of neuroengineering, can solve the problems of less target presentation, non-specific detection results, and less frequency of steady-state visual evoked potentials, so as to improve the information transmission rate, improve Specific, highly specific effects

Inactive Publication Date: 2010-11-17
XI AN JIAOTONG UNIV
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Compared with other types of brain-computer interfaces, the brain-computer interface based on the steady-state visual evoked potential has the characteristics of simple operation, high information transmission rate, no need for training, and strong signals can be induced by all subjects, so it has become a The most practical type of all brain-computer interfaces. In traditional BCI applications based on steady-state visual evoked potentials, a computer screen is usually used as a stimulus source so that stimulus presentation, signal analysis, and target feedback can be performed simultaneously. , and the stimulation frequency has a one-to-one correspondence with the presentation target. Due to the influence of the inherent vert

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-frequency time sequence combined steady-stage visual evoked potential brain-computer interface method
  • Multi-frequency time sequence combined steady-stage visual evoked potential brain-computer interface method
  • Multi-frequency time sequence combined steady-stage visual evoked potential brain-computer interface method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0022] A steady-state visually evoked potential brain-computer interface method of multi-frequency time-series combination, comprising the following steps:

[0023] The first step, refer to figure 1 , place the measurement electrode A at the position Oz of the occipital region of the subject's head D, place the reference electrode B at the position of the earlobe on one side of the subject's head D, and place the ground electrode at the position Fpz of the forehead of the subject's head D C, the output terminal of the measuring electrode A is connected to the first input terminal E1 of the EEG amplifier E, the output terminal of the reference electrode B is connected to the second input terminal E2 of the EEG amplifier E, and the output terminal of the ground electrode C is connected to the EEG The third input terminal E3 of the amplifier E, the output termi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-frequency time sequence combined steady-stage visual evoked potential brain-computer interface method. The method comprises the following steps of: putting a measurement electrode on the head of a subject and connecting the measurement electrode with an electroencephalogram amplifier, a computer and a computer screen; and forming n different representation targets by using n stimulus frequencies, wherein n is an integer more than 1; and realizing the representation of the visual targets and the visual feedback of the subject by using the computer screen. The method improves the information transmission rate of the brain-computer interface by constructing a plurality of representation targets from a few stimulus frequencies, has the advantages of multiple representation targets and high specificity of the detection result, can realize communication between the disabled having normal mind but suffering from paralysis of the neuromuscular system and an external apparatus, and is suitable for a normal person on occasions that the limbs are inconvenient to control.

Description

technical field [0001] The invention relates to the technical field of neural engineering, in particular to a steady-state visual evoked potential brain-computer interface method of multi-frequency time series combination. Background technique [0002] Brain-computer interface is the abbreviation of human brain-computer interface. It refers to a technology that allows the human brain to communicate directly with the computer without relying on the normal output pathway of the brain. The brain-computer interface analyzes the EEG of the human brain in real time. Signals, to a certain extent, interpret people's thinking and translate them into control instructions to realize the control of external equipment. Consciousness controls the movement of intelligent wheelchairs; it can also be used in occasions where normal people are inconvenient to control their limbs, such as astronauts' mind-controlled spacewalks, etc. Brain-computer interface is an emerging technology intersectin...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F3/01
Inventor 徐光华谢俊张锋张庆游启邦程晓文
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap