Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An Online Artifact Removal Method for Synchronous EEG-FMRI

An artifact and signal technology, applied in the field of brain signal processing, to achieve the effect of meeting the requirements of signal-to-noise ratio, small delay, and reduced equipment requirements

Active Publication Date: 2021-05-14
SOUTH CHINA UNIV OF TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventions mentioned above have failed to perform synchronous real-time denoising through the signal denoising algorithm and have achieved satisfactory results.

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
  • An Online Artifact Removal Method for Synchronous EEG-FMRI

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described below in conjunction with specific examples.

[0038] The synchronous EEG-fMRI online artifact removal method provided in this embodiment can be applied to fMRI and EEG hybrid brain-computer interface platforms, including the following steps:

[0039] 1) Design the program framework, the program includes two parts: the signal collected by the recording amplifier and the denoising process of the signal.

[0040] 2) The signal acquisition thread first creates a separate thread for each amplifier channel that needs to be denoised, and is responsible for the parallel processing of each channel signal.

[0041] 3) Perform high-pass filtering on the collected EEG signals to filter out temperature drift and pulse artifacts, design the filter to obtain parameters, and then export the filter parameters to the file of the program framework for use.

[0042] 4) Upsampling the filtered signal in step 3) and synchronizing the EEG sign...

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 an online artifact removal method for synchronous EEG-fMRI, comprising the steps of: 1) high-pass filtering the EEG signal; 2) upsampling the filtered signal, and marking the EEG signal and MRI equipment Synchronize; 3) Obtain a signal S with residual artifacts r ; 4) signal S r There are residual gradient artifacts in , and the gradient artifact template denoising and PCA denoising are constructed to obtain the gradient artifact-removed signal S c ;5) signal S c 6) K-means clustering of ECG according to different periods; 7) Reintegrate each EEG signal into m-segment EEG signals in time order, and the m-segment EEG signals Perform OBS processing; 8) Reconstruct the EEG signal according to the time sequence of the original signal to obtain the EEG signal after removing the ECG artifact. The invention can collect electroencephalogram signals while scanning and collecting fMRI images, remove artifacts in real time through a denoising algorithm, and obtain electroencephalogram signals with a high signal-to-noise ratio.

Description

technical field [0001] The invention relates to the technical field of brain signal processing, in particular to an online method for removing artifacts of synchronous EEG-fMRI. Background technique [0002] With the development of brain science research, the combination of electroencephalogram signal (EEG) and functional magnetic resonance imaging (fMRI) has attracted extensive attention and research. EEG signals have the characteristics of low spatial resolution and high temporal resolution, while functional magnetic resonance imaging has the characteristics of low temporal resolution and high spatial resolution. Research on the pathogenesis of functional and psychiatric disorders as well as cognition is very important. [0003] In the experiment of synchronous EEG-fMRI acquisition of EEG signals, since the EEG signal (EEG signal) is acquired in the MRI scanning environment, three kinds of artifacts will be introduced in such an experimental environment: [0004] 1. Puls...

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): A61B5/369A61B5/055A61B5/00
CPCA61B5/7203A61B5/725A61B5/369
Inventor 于承鑫俞祝良顾正晖李远清
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com