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An Online Denoising Method of Brain Signals in MRI Environment

A nuclear magnetic resonance and brain signal technology, applied in the field of brain signal processing, can solve problems such as gradient noise, reduce equipment requirements, meet the needs of signal-to-noise ratio, and achieve the effect of high signal-to-noise ratio

Active Publication Date: 2020-06-19
GUANGZHOU GUANGDA INNOVATION TECH CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 2) Gradient noise
None of the above-mentioned inventions can achieve satisfactory results by performing online denoising through signal denoising algorithms.

Method used

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with specific examples.

[0030] The online brain signal denoising method provided in this embodiment under the MRI environment can be applied to the fMRI and EEG hybrid brain-computer interface platform, which includes the following steps:

[0031] 1) Design the program framework, the program contains two main threads, one thread is responsible for recording the signal collected by the amplifier, and the other thread is responsible for signal processing; and a separate thread must be created for each amplifier channel that needs to be denoised, responsible for each Parallel processing of channel signals.

[0032] 2) 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.

[0033] 3) Upsampling the filtered signal in step 2) a...

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Abstract

The invention discloses a brain signal online denoising method in a nuclear magnetic resonance environment. The method comprises the steps of 1) conducting high-pass filtering on collected brain electrical signals; 2) conducting up-sampling on the filtered signals and synchronizing the brain electrical signals with markers sent by a fMRI device; 3) constructing a sliding window to construct a noise template Atau for preliminary denoising; 4) slicing a signal Sh mixed with noise into a slice with a length of T*w points, fitting the noise template with slice date through least squares to obtainfitting parameters ytau, and subtracting ytau*Atau from the Sh to obtain a signal Sr with residual artifacts; 5) conducting PCA on the signal Sr, sorting each component according to degree of relevance, taking the largest m components as an optimal base betaj(j=1,2,...,m) of gradient noise, fitting the optimal base with the Sr through the least squares to obtain fitting parameter aj(j=1,2,...,m),subtracting N from the Sr, and conducting denoising through the construction of a gradient noise template and denoising through the PCA to eventually eliminate the gradient noise. The brain signal online denoising method in the nuclear magnetic resonance environment has the advantages that real-time denoising can be conducted on the signals to meet demands of data processing speed of an online experiment.

Description

technical field [0001] The invention relates to the technical field of brain signal processing, in particular to an online brain signal denoising method under an MRI environment. Background technique [0002] At present, EEG signals have been widely used in medical diagnosis, cognitive research, psychological research and brain function research, but the human brain has a very complex structure, and people knew little about the brain before. To a certain extent, it helps people understand the brain, but people cannot provide effective information on the internal structure of the brain. In order to further study the brain, magnetic resonance imaging technology began to be applied to brain research. EEG signals have the characteristics of low spatial resolution and high temporal resolution, while magnetic resonance imaging has the characteristics of low temporal resolution and high spatial resolution, because temporal and spatial information are of great importance to the stu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/055
CPCA61B5/055
Inventor 孙佳敏俞祝良于承鑫
Owner GUANGZHOU GUANGDA INNOVATION TECH CO LTD
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