Near-infrared Brain Function Signal Processing Method Based on Total Least Squares Method

A least square method and signal processing technology, which is applied in medical science, using spectrum diagnosis, diagnosis, etc., can solve the problem of low precision of signal detection and extraction, and achieve the effect of suppressing error interference

Active Publication Date: 2020-07-24
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of low accuracy in the detection and extraction of near-infrared brain function response signals in the gray matter layer of the brain in the prior art, thereby proposing a near-infrared brain function signal processing method based on the total least squares method

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  • Near-infrared Brain Function Signal Processing Method Based on Total Least Squares Method
  • Near-infrared Brain Function Signal Processing Method Based on Total Least Squares Method
  • Near-infrared Brain Function Signal Processing Method Based on Total Least Squares Method

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specific Embodiment approach 1

[0029] Specific implementation mode one: combine figure 1 , figure 2 Describe this embodiment, the near-infrared brain function signal processing method based on the total least squares method of this embodiment, specifically is realized according to the following steps:

[0030] Step 1: Place a near-infrared probe composed of a five-wavelength light source S and a detector D on the surface of the scalp of the brain tissue to be tested. The linear distance between the light source S and the detector D is R, and the near-infrared light emitted by the light source S is The wavelengths are λ 1 , lambda 2 , lambda 3 , lambda 4 and lambda 5 , the detector D is used to obtain the diffuse reflection light intensity in the quiet state of the brain and the diffuse reflection light intensity in the brain-induced excitation state, so as to obtain the optical density of five different wavelengths of near-infrared light at the same distance R from the detector D Time signal of varia...

specific Embodiment approach 2

[0049] Specific embodiment two: the difference between this embodiment and specific embodiment one is: 5mm≤R≤40mm in the first step;

[0050] Among them, R represents the linear distance between the light source S and the detector D.

[0051] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0052] Embodiment 3: This embodiment is different from Embodiment 1 to Embodiment 2 in that: the R is 5mm.

[0053] Other steps and parameters are the same as one of the specific implementation modes 1 to 2.

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Abstract

The invention discloses a total least square method-based near-infrared brain function signal processing method, relates to a near-infrared brain function signal processing method and aims at solving the problem of low detection and extraction accuracy on a near-infrared brain function activity response signal in an ectocinerea layer in the prior art. The total least square method-based near-infrared brain function signal processing method comprises the processes of (1) obtaining time signals of optical density variations of near-infrared light with five different wavelengths under the same distance R from a detector D; (2) constructing an equation set through the time signals, obtained in the step (1), of the optical density variations of the near-infrared light with five different wavelengths under the same distance R from the detector D by adopting a corrected lambert-beer law; (3) rewriting the equation set in the step (2) as the matrix form in the specification; (4) carrying out singular value decomposition on an augmented matrix B in the step (3); and (5) obtaining a total least square solution of an oxyhemoglobin concentration change time signal of the detector and a reduced hemoglobin concentration change time signal of the detector. The total least square method-based near-infrared brain function signal processing method is applied to the field of signal extraction.

Description

technical field [0001] The invention relates to a signal extraction method, in particular to a near-infrared brain function signal processing method. Background technique [0002] The continuous wave near-infrared spectroscopy technology can provide information on changes in blood oxygen in the cerebral cortex during brain functional activities by detecting the changes in the concentration of reduced hemoglobin and oxyhemoglobin in the cerebral cortex, so that it can be used for the detection of brain functional activity responses. Compared with brain function detection methods such as positron emission tomography, functional magnetic resonance imaging, and EEG detection, near-infrared spectroscopy has the advantages of non-invasiveness, easy implementation, and good safety. [0003] When using near-infrared spectroscopy to detect brain functional activities, it is necessary to use the amended Lambert-Beer's law to process the time-series signal of the optical density change...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00
CPCA61B5/0075A61B5/7235
Inventor 刘昕刘丹张岩王启松孙金玮
Owner HARBIN INST OF TECH
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