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Method for removing magnetic resonance gradient noise in electroencephalograph signal

A gradient noise and EEG signal technology, applied in the field of bioinformatics, can solve problems such as inaccuracy and inconvenient installation, and achieve the effects of improving real-time performance, avoiding modification, and reducing technical requirements

Inactive Publication Date: 2010-06-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] advantage shortcoming mean noise subtraction Relatively simple, using the principal components Analytical method, processing is more convenient Constructed templates vary by clock The step effect is not precise enough Hardware Clock Synchronization Method Noise removal effect is better MRI equipment needs to be Modification, installation is extremely inconvenient

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  • Method for removing magnetic resonance gradient noise in electroencephalograph signal
  • Method for removing magnetic resonance gradient noise in electroencephalograph signal
  • Method for removing magnetic resonance gradient noise in electroencephalograph signal

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Embodiment Construction

[0030] Below in conjunction with the accompanying drawings, the present invention is simulated and verified.

[0031] First construct V with trigonometric functions (sin) Bx , V By , V Bz (See figure 2 ). Random numbers are used to randomly select 3 numbers a', b', c', according to the formula V B =a'V Bx +b'V By +c'V Bz , build V B (See image 3 ). Build V with a random function 0 +V EEG (See Figure 4 ). According to the formula V=V B +V 0 +V EEG , to construct the brain electrode signal V (see Figure 5 ).

[0032] Since V B >>V 0 +V EEG , using the approximation to get V≈V B =aV Bx +bV By +cV Bz To establish a system of equations, the method of randomly selecting 300 points and repeating 3 times can be solved to obtain a, b, c, and V Bx , V By , V Bz and a,b,c can reconstruct V B (See Figure 6 ).

[0033] Noise removal result V-V B with V constructed with a random function 0 +V EEG comparison (see Figure 7 ), see the difference between...

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Abstract

The invention provides a method for removing magnetic resonance gradient noise in an electroencephalograph signal, and belongs to the technical field of biological information. In the method, on the premise that electroencephalograph testing and functional magnetic resonance testing are carried out synchronously, three mutually perpendicular coils are adopted to measure signal components VBx, VBy and VBz on the electroencephalograph position while the electroencephalograph signal V is measured; a linear equation set that V' equals to aVBx' plus bVBy' and cVBz' is constructed by using a group of measured data V' of the electroencephalograph signal V and three groups of measured data VBx', VBy' and VBz' of the signal components VBx, VBy and VBz of the magnetic resonance gradient noise so as to obtain coefficients a, b and c; a magnetic resonance gradient noise signal that VB equals to aVBx plus VBy and VBz is synthesized by using the coefficients a, b and c and the signal components VBx, VBy and VBz of the magnetic resonance gradient noise; and finally, the signal VB of magnetic resonance gradient signal is reduced from the electroencephalograph signal V to acquire the magnetic resonance gradient noise removed electroencephalograph signal. The method has the characteristics of clock synchronization and real-time calculation, does not require hardware reforming on magnetic resonance equipment, and can be applied to research and diagnosis on human brain and diseases related to human brain.

Description

technical field [0001] The invention belongs to the technical field of biological information, relates to a method for removing brain electric noise, and is mainly applied to the research and diagnosis of human brain functions and diseases related to the human brain. Background technique [0002] In order to obtain the respective advantages of EEG and fMRI (higher temporal resolution of EEG, but lower spatial resolution; higher spatial resolution of MRI, but lower temporal resolution), many studies currently use synchronous measurement of brain Electrical (EEG) and functional magnetic resonance (fMRI) data. However, when measuring EEG and MRI synchronously, the MRI equipment will bring great interference noise to the EEG signal. Interference noise includes: gradient field noise caused by periodic changes in the magnetic field of magnetic resonance itself, motion-related noise caused by micro-motion of the human body, and related noise generated by blood flow. Among these i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055A61B5/0476
Inventor 陈华富许强
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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