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

Method of removing nuclear magnetic artifacts in EEG signal based on automatic ICA

A technology of nuclear magnetic and artifacts, which is applied in the field of removing nuclear magnetic artifacts in EEG signals based on automatic ICA, can solve problems such as missing components, affecting processing speed, and affecting experimental quality, so as to avoid inconvenience and reduce information loss. Effect

Active Publication Date: 2017-06-20
广州光达创新科技有限公司
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this way, manual selection of artifact components not only affects the processing speed, but also restricts the application of ICA denoising. Some components that are useful to the former cause the features that need to be extracted later are not obvious, thus affecting the quality of the experiment

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
  • Method of removing nuclear magnetic artifacts in EEG signal based on automatic ICA
  • Method of removing nuclear magnetic artifacts in EEG signal based on automatic ICA
  • Method of removing nuclear magnetic artifacts in EEG signal based on automatic ICA

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0026] This embodiment provides a method for removing NMR artifacts in EEG signals based on automatic ICA, the flow chart of the method is as follows figure 1 shown, including the following steps:

[0027] 1) Perform basic denoising processing on the EEG signal containing nuclear magnetic artifacts, and obtain the EEG signal X'(t) with most of the nuclear magnetic artifacts removed;

[0028] Wherein, the specific process of the basic denoising process is: determine the nuclear magnetic fundamental wave frequency f according to the repetition time TR of the nuclear magnetic scanner and the number of layers of a whole brain scan b , select N signal channels to be processed, the EEG signal X(t)=[x 1 (t),x 2 (t),...,x N (t)] T After AAS processing, the EEG signal X'(t) with most NMR artifacts removed is obtained, where N represents the channel, t represents the time, and T represents the transposition of the matrix.

[0029] 2) Separating the independent components of the sig...

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 method for removing nuclear magnetic artifacts in an EEG signal based on automatic ICA. The method comprises the following steps that 1, basic denosing processing is conducted on the EEG signal comprising the nuclear magnetic artifacts, and an EEG signal X' (t) of which most of nuclear magnetic artifacts are removed is obtained; 2, independent element separation is conducted on the EEG signal X' (t), remaining elements of the nuclear magnetic artifacts in the EEG signal X' (t) are automatically identified, and other elements keep unchanged; 3, efficient low-frequency elements in remaining elements of the nuclear magnetic artifacts in the step 2 are extracted and reserved; 4, the efficient low-frequency elements in remaining elements of the nuclear magnetic artifacts obtained in the step 3 and other elements reserved in the step 3 are together reconstructed through ICA inverse transformation, and a denosed EEG signal is obtained. On the basis of the ICA, according to frequency distribution characteristics of nuclear magnetic noise and periodic characteristics of nuclear magnetic noise related to repetitive time parameters of nuclear magnetic scanning, the elements of the nuclear magnetic artifacts are automatically selected and the useful information is reserved.

Description

technical field [0001] The invention relates to the research field of EEG-fMRI mixed EEG signals, in particular to a method for removing nuclear magnetic artifacts in EEG signals based on automatic ICA. Background technique [0002] The study of EEG signals has always been the focus in the field of biomedicine and brain nerve information research, and it is also the most basic way for humans to observe the working mechanism of the brain and explore the mysteries of the brain. EEG signals have a time resolution of milliseconds, and the neural activity of the brain is recorded as changes in scalp potential. Functional magnetic resonance technology allows people to more intuitively see the internal structure of the brain and its blood oxygen activity through neuroimaging. The high spatial resolution of fMRI and the high temporal resolution of EEG signals make their combination more significant and advantageous. [0003] However, the combination of the two methods is also subj...

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): A61B5/0476A61B5/00
CPCA61B5/7203A61B5/7235A61B5/316A61B5/369
Inventor 孙岩丹俞祝良顾正晖
Owner 广州光达创新科技有限公司
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