System and method for removing ocular artifact from electroencephalogram signal

A technology of EEG signals and artifacts, applied in the field of bioinformatics, can solve problems such as low generalization ability and fixed requirements for the number of EEG channels, and achieve high recognition effect

Active Publication Date: 2019-10-22
XIAN UNIV OF POSTS & TELECOMM
View PDF11 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention proposes a system and method for removing eye artifacts in EEG signals to overcome the need for additional EEG channels as a reference in the prior art, fixed requirements for the number of EEG channels, and low generalization ability technical issues

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
  • System and method for removing ocular artifact from electroencephalogram signal
  • System and method for removing ocular artifact from electroencephalogram signal
  • System and method for removing ocular artifact from electroencephalogram signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The following is attached figure 1 The present invention will be described in detail.

[0036] Data brief introduction:

[0037] The EEG data comes from DEAP, a multi-modal data set for emotional analysis, which includes EEG signals and other peripheral physiological signals collected when 32 subjects watched 40 one-minute music videos. There are 48 channels, of which channels 1-32 are EEG signals, and channels 33-36 are EEG signals. The data used in this experiment are the signals of the first 36 channels.

[0038] see figure 1 , a system for automatically removing eye artifacts in EEG signals provided by the present invention includes a signal interception module, an eye artifact identification module and an eye artifact removal module connected in sequence, and the original EEG signal is passed through the signal interception module After processing, it is simultaneously sent to the eye artifact recognition module and the eye artifact removal module, and the eye ...

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 relates to a system and method for removing an ocular artifact from an electroencephalogram signal. The provided system includes a signal interception module, an ocular artifact recognition module and an ocular artifact removal module. A segment of an original electroencephalogram signal of a subject is processed by the signal interception module and sent to the ocular artifact recognition module and the ocular artifact removal module at the same time. If the segment of the electroencephalogram signal contains the ocular artifact, the ocular artifact recognized by the ocular artifact recognition module is sent as a reference signal to the ocular artifact removal module; otherwise, the reference signal based on a recursive least square adaptive filter is set to zero. Finally,the adaptive filtering technology of the ocular artifact removal module is used for achieving the on-line removal of the ocular artifact. According to the system and the method, the ocular artifact can be removed online, a large amount of useful information in the original electroencephalogram signal is retained, there is no requirement for the number of channels of the input electroencephalogram,the root mean square error of the signal is reduced further, less time is consumed, and the system is more suitable for real-time BCI scenes.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to the collection and preprocessing technology of EEG signals, and in particular to a system and method for removing eye artifacts in EEG signals. Background technique [0002] EEG is the most widely used non-invasive brain imaging technique in real-time brain-computer interface, and it has been intensively studied in the fields of clinical medicine, affective computing, etc. due to its good temporal resolution, ease of use, and relatively low price. However, since the EEG is a multi-channel, random signal with non-stationary characteristics, it is very weak (usually only on the order of microvolts), and is extremely vulnerable to physiological factors such as blinking, eye movement, heartbeat, muscle activity, and sweating. pollution. Especially the electrical interference related to eye movement and blinking (also known as eye artifact), which will change the elect...

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 Applications(China)
IPC IPC(8): A61B5/0476
CPCA61B5/7203A61B5/725A61B5/316A61B5/369
Inventor 梁琛田萌王文浪范琳王忠民
Owner XIAN UNIV OF POSTS & TELECOMM
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