Brain signal analysis method based on graph signal processing
An analysis method and signal processing technology, applied in medical science, diagnosis, instrumentation, etc., can solve problems such as changes in different regions of the brain, and achieve reasonable design effects
Pending Publication Date: 2022-07-29
NANKAI UNIV +1
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[0004] In the research of functional near-infrared signal analysis, many researchers extract the mean, variance, kurtosis and other characteristics of the signal for analysis, and do not consider the changes between different regions of the brain
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[0052] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
[0053] A brain signal analysis method based on graph signal processing, such as figure 1 shown, including the following steps:
[0054] Step 1. Establish a measurement paradigm based on functional near-infrared. The specific process of the measurement paradigm is as follows:
[0055] (1) The measuring personnel stand for 30 seconds.
[0056] (2) The measuring personnel walk for 35 seconds according to the daily walking speed.
[0057] (3) The surveyor stops and stands in place for 10 seconds.
[0058] ⑷ The measuring personnel rest for 2 minutes.
[0059] Step 2. The measurement personnel wear the functional near-infrared probe to ensure that the functional near-infrared probe is close to the brain area to be measured. According to the measurement paradigm of step 1, the brain signals of the measurement personnel during the gait task are ...
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The invention relates to a brain signal analysis method based on graph signal processing. The method is technically characterized by comprising the following steps: establishing a measurement normal form based on functional near-infrared; a measurer wears a functional near-infrared probe and measures and collects brain signals of the measurer during gait tasks; the measured brain signals are preprocessed; calculating a phase lag coefficient between channel signals, and establishing a connectivity matrix; constructing a brain map according to the connectivity matrix and the vertex positions; according to the brain image, image features describing the brain region and brain region changes are extracted; according to the method, brain signals during gait tasks are measured through functional near-infrared, the preprocessed signals are converted into brain maps according to correlation coefficients and vertex positions between near-infrared channels, the brain maps are subjected to frequency spectrum disassembling and calculation to obtain map features between the regions, and therefore changes between the different regions are effectively described, and the accuracy of the gait tasks is improved. The system and the method can be widely applied to the fields of sleep quality monitoring, brain abnormity monitoring, brain-computer interfaces and the like.
Description
technical field [0001] The invention belongs to the technical field of signal detection and analysis, and relates to brain signal detection and analysis, in particular to a brain signal analysis method based on image signal processing. Background technique [0002] In recent years, brain imaging technology has developed rapidly, and more and more researchers have paid attention to it. Commonly used brain imaging techniques include EEG, functional MRI and positron emission tomography, etc. However, functional MRI and positron emission tomography have the problem of poor resistance to movement interference, and it is difficult to record changes in the brain when people perform motor tasks. EEG has the problems of complicated preparation process and low spatial resolution. [0003] At present, functional near-infrared technology is increasingly applied to brain analysis and research. Functional near-infrared has a simple preparation process, high spatial resolution, strong an...
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IPC IPC(8): A61B5/00A61B5/1455G06K9/00
CPCA61B5/0075A61B5/4064A61B5/7203A61B5/7207A61B5/7225A61B5/725A61B5/4809A61B5/4812A61B5/4815A61B5/14553G06F2218/02
Inventor 于宁波巫嘉陵于洋韩建达朱志中王金卢杰威
Owner NANKAI UNIV