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

A method for extracting EEG signals in a magnetic resonance environment

A technology of EEG signals and magnetic resonance, applied in the field of neural information, to improve effectiveness and robustness, reduce magnetic resonance gradient noise, and improve usability and quality

Active Publication Date: 2019-07-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limitations of the method, there is no recognized method for extracting EEG signals in the MRI environment that has been widely used. Therefore, in practical applications, the method should be designed according to the signal characteristics, that is, prior knowledge. How to obtain Prior knowledge is yet another problem, and this is where the difficulty in developing such methods lies

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 method for extracting EEG signals in a magnetic resonance environment
  • A method for extracting EEG signals in a magnetic resonance environment
  • A method for extracting EEG signals in a magnetic resonance environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] Such as figure 1 As shown, a method for extracting EEG signals in a magnetic resonance environment includes the following steps:

[0024] A. Before turning on the MRI equipment, first use a 64-lead EEG measurement device to record an EEG signal to obtain a two-dimensional signal (number of leads × time sample point); figure 2 Show O 2 The 1.6-second long EEG signal data of the electrode is in the microvolt level; image 3 It shows the power spectrum characteristics of the signal, there are obvious EEG alpha waves, and there are corresponding 50Hz power frequency interference and frequency multiplication interference. Then turn on the magnetic resonance equipment, continuously and synchronously record the EEG signals, and obtain the two-dimensional EEG signals in the magnetic resonance environment;...

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 belongs to the technical field of neural information, relates to a method for extracting EEG signals, and specifically provides an extraction method for EEG signals in a magnetic resonance environment, which is used to improve the efficiency and accuracy of extracting weak EEG signals while retaining wide-band EEG signals. Electrical information, so that it can be widely used in clinical and scientific research; the invention first records the EEG signals without magnetic resonance interference, and then records the EEG signals in the magnetic resonance environment, and then uses two-stage adaptive noise cancellation to remove the magnetic resonance signals in turn. Gradient noise and power frequency interference, and finally a smoothing filter is used to remove high-frequency noise to obtain high-quality EEG signals. The invention can effectively remove magnetic resonance gradient noise, power frequency interference, and high-frequency noise of instruments, extract high-quality EEG signals, and greatly improve signal extraction efficiency and precision.

Description

technical field [0001] The invention belongs to the technical field of nerve information, and relates to a method for extracting electroencephalogram signals, in particular to a method for extracting electroencephalogram signals in a magnetic resonance environment. Background technique [0002] Spontaneous EEG is the spontaneous bioelectrical activity of brain cell populations that is non-invasively recorded at the scalp using sophisticated electronic equipment. ), susceptible to noise interference. At present, the analysis of spontaneous EEG is more focused on the power spectrum analysis of different frequency bands. In recent years, in order to make up for the spatial resolution of spontaneous EEG signals, EEG-MR signal synchronous recording equipment is used to simultaneously collect EEG signals and MRI signals. The MR signals are fused with each other to obtain more accurate measurements. [0003] However, in the EEG-MRI synchronous recording, the magnetic field of th...

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): A61B5/0476A61B5/055
CPCA61B5/055A61B5/7203A61B5/7221A61B5/7225A61B5/369
Inventor 李凌于邦雷杨平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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