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A Near Infrared Brain Function Signal Processing Method Based on Differential Path Factor Estimation

A differential path and signal processing technology, applied in medical science, using spectrum diagnosis, diagnosis, etc., can solve the problems of measurement error interference, low measurement and extraction accuracy of near-infrared brain function activity response signal measurement, etc. The effect of high quality inspection

Active Publication Date: 2021-05-07
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the large difference between the reference value of the differential path factor used in amending Lambert-Beer's law and the real differential path factor of the actual measurement object in the prior art. At the same time, the optical density variation collected by the light source detector There is also measurement error interference in the time series signals, which leads to the problem of low accuracy in the measurement and extraction of continuous wave near-infrared brain function response signals, so a near-infrared brain function signal processing method based on differential path factor estimation is proposed

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  • A Near Infrared Brain Function Signal Processing Method Based on Differential Path Factor Estimation
  • A Near Infrared Brain Function Signal Processing Method Based on Differential Path Factor Estimation
  • A Near Infrared Brain Function Signal Processing Method Based on Differential Path Factor Estimation

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specific Embodiment approach 1

[0068] Embodiment 1: Combining figure 1 , figure 2 This embodiment will be described. The method for processing near-infrared brain function signals based on differential path factor estimation in this embodiment is specifically implemented according to the following steps:

[0069] Step 1: Place a near-infrared probe composed of a five-wavelength light source S and a detector D on the scalp surface of the brain tissue to be tested. The straight-line distance between the five-wavelength light source S and the detector D is R, and the five-wavelength light source S emits The wavelengths of near-infrared light are λ 1 , λ 2 , λ 3 , λ 4 and λ 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-evoked 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 ...

specific Embodiment approach 2

[0125] Embodiment 2: This embodiment differs from Embodiment 1 in that: in step 10, the optimal estimated value of the differential path factor at each wavelength obtained in step 9 is used to construct the following equation system to obtain oxyhemoglobin Concentration change time signal and reduced hemoglobin concentration change time signal;

[0126] The specific equation system can be expressed as follows:

[0127]

[0128] where ε HHb (λ 1 ) is the wavelength of the near-infrared light emitted by the light source S is λ 1 The reduced hemoglobin extinction coefficient at ; ε HHb (λ 2 ) is the wavelength of the near-infrared light emitted by the light source S is λ 2 The reduced hemoglobin extinction coefficient at ; ε HHb (λ 3 ) is the wavelength of the near-infrared light emitted by the light source S is λ 3 The reduced hemoglobin extinction coefficient at ; ε HHb (λ 4 ) is the wavelength of the near-infrared light emitted by the light source S is λ 4 The re...

specific Embodiment approach 3

[0130] Embodiment 3: This embodiment is different from one of Embodiments 1 to 2 in that: in step 13, the corresponding element of the third column in the matrix V obtained in step 12 is used to obtain the Overall least squares solution of the time signal of oxyhemoglobin concentration change and the time signal of reduced hemoglobin concentration change at detector D; respectively expressed as:

[0131]

[0132]

[0133] Among them, Δ[HbO 2 ] TLS (t) is the overall least-squares solution of the oxyhemoglobin concentration change time signal at detector D; Δ[HHb] TLS (t) is the overall least squares solution of the reduced hemoglobin concentration change time signal at detector D.

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Abstract

A near-infrared brain function signal processing method based on differential path factor estimation, the invention relates to a near-infrared brain function signal processing method. The purpose of the present invention is to solve the large difference between the reference value of the differential path factor used in amending Lambert-Beer's law and the real differential path factor of the actual measurement object in the prior art. At the same time, the optical density variation collected by the light source detector There are also measurement error interferences in the time series signals, which lead to the problem of low accuracy in the measurement and extraction of continuous wave near-infrared brain function response signals. Obtain the time signal of the optical density variation of near-infrared light of different wavelengths at the same distance from the detector; use the modified Lambert-Beer's law to construct an equation for the signal; rewrite the equation system into a matrix form; perform singular value decomposition on the augmented matrix ; Obtain the total least squares solution of the time signal of the concentration change of oxygenated hemoglobin and reduced hemoglobin at the detector. The invention is used in the field of brain function signals.

Description

technical field [0001] The invention relates to a near-infrared brain function signal processing method. Background technique [0002] Continuous wave near-infrared spectroscopy can detect changes in the concentration of oxyhemoglobin and reduced hemoglobin in brain tissue, and provide information on changes in blood oxygen in brain tissue during the process of brain function activity, which can be used for brain function activity detection. Compared with traditional brain function detection methods such as functional magnetic resonance imaging and positron emission tomography, the brain function detection method based on near-infrared spectroscopy has many advantages such as low cost, easy implementation, non-invasiveness, and good safety. [0003] When the continuous wave near-infrared spectroscopy detection technology is used to measure brain functional activity, it is necessary to use the modified Lambert Beer's law to perform signal processing on the time-series signals...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/1455
CPCA61B5/0042A61B5/0075A61B5/14546A61B5/14553A61B5/7203A61B5/7235
Inventor 刘昕张瞫张岩刘丹孙金玮
Owner HARBIN INST OF TECH
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