A kind of electroencephalogram signal classification method, device, equipment and medium

An EEG signal and classification method technology, applied in the field of data processing, can solve problems such as poor classification accuracy of EEG signals, and achieve the effect of improving the accuracy

Active Publication Date: 2021-09-24
XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI +1
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of this application is to provide an EEG signal classification method, device, equipment and medium for solving the problem of poor classification accuracy of EEG signals in the prior art

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
  • A kind of electroencephalogram signal classification method, device, equipment and medium
  • A kind of electroencephalogram signal classification method, device, equipment and medium
  • A kind of electroencephalogram signal classification method, device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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 present application provides a method for classifying EEG signals, the method comprising: obtaining an EEG signal sequence to be identified; inputting the EEG signal sequence to be identified into an EEG signal classification model to obtain the EEG signal sequence to be identified EEG classification information, the EEG classification information includes motor imagery EEG signals and steady-state visual evoked potential EEG signals.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a method, device, device and medium for classifying electroencephalogram signals. Background technique [0002] Brain-computer interface (BCI) technology is a direct connection path established between human brain or animal brain (or brain cell culture) and external equipment. Brain-computer interface is a multidisciplinary research field, the core disciplines involve cognitive science, neural engineering, automatic control, etc. Specifically, the brain-computer interface technology is divided into three steps: (1) EEG acquisition, collecting the user’s EEG signals through the EEG acquisition equipment, using a computer to analyze the EEG signals, and classifying the EEG signals; (2) ) Instruction conversion, converting the classified EEG signals into machine control instructions through the computer; (3) Instruction transmission, sending the converted instruc...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 韩璎闫天翼刘思宇张德雨赵明艳陈端端陈奕如秦文硕吴景龙
Owner XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
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