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Brain function signal extracting method based on empirical mode decomposition optimization algorithm of multi-range measurement method

A technology of empirical mode decomposition and optimization algorithm, which can be used in diagnostic recording/measurement, medical science, sensors, etc., and can solve problems such as difficult detection

Inactive Publication Date: 2012-07-04
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 using near-infrared spectroscopy technology to detect the change of oxyhemoglobin concentration in the process of brain function activity when the non-uniformity of brain tissue is serious. 2 ] and reduced hemoglobin concentration change Δ[HHb] is difficult to detect

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  • Brain function signal extracting method based on empirical mode decomposition optimization algorithm of multi-range measurement method
  • Brain function signal extracting method based on empirical mode decomposition optimization algorithm of multi-range measurement method
  • Brain function signal extracting method based on empirical mode decomposition optimization algorithm of multi-range measurement method

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specific Embodiment approach 1

[0031] Specific implementation mode one: the following combination figure 1 Describe this embodiment, the method of this embodiment includes the following steps:

[0032] Step 1. Place a near-infrared probe consisting of a dual-wavelength light source S and detectors D1 and D2 on the surface of the scalp of the brain tissue to be measured, wherein the linear distance between the dual-wavelength light source S and the detector D1 is r 1 , 5mm≤r 1 ≤10mm, used for the hemodynamic changes of the sensitive outer brain tissue; the linear distance between the dual-wavelength light source S and the detector D2 is r 2 , 30mm≤r 2 ≤45mm, can be sensitive to the hemodynamic changes of the cerebral cortex, and record the diffuse reflection light intensity in the quiet state of the brain and the diffuse reflection light intensity of the brain in the evoked excitation through the detector to obtain two different wavelengths λ 1 and lambda 2 Time series of optical density changes at time:...

specific Embodiment approach 2

[0055] Embodiment 2. The difference between this embodiment and Embodiment 1 is that the two wavelengths emitted by the dual-wavelength light source described in step 1 are λ 1 =760nm,λ 2 = 850nm.

specific Embodiment approach 3

[0056] Embodiment 3. The difference between this embodiment and Embodiment 1 is that the distance between the light source S and the detector D1 in step 1 is 10 mm, and the distance between the light source S and the detector D2 is 40 mm.

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Abstract

A brain function signal extracting method based on an empirical mode decomposition optimization algorithm of a multi-range measurement method relates to a brain functional signal extracting method and resolves the problem that when heterogeneity of brain tissues is severe, oxyhemoglobin concentration change delta (HbO2) and reduced hemoglobin concentration change delta (HHb) are difficult to be detected in a brain function activity detecting process in the prior art. The brain function signal extracting method includes recording diffusion reflection light intensity when the brain of a human body is in a quiet state and excitation is induced by the aid of a detector, and obtaining time sequence of light density variation quantity when wavelength lambda 1 and wavelength lambda 2 are different; obtaining delta (HbO2)N(k) and delta (HHb)N(k) which are measured by r1 obtained by the corrected Lambert-Beer's law, and delta (HbO2)F(k) and delta (HHb)F(k) which are measured by r2 obtained by the corrected Lambert-Beer's law; calculating a brain functional signal expression according to all obtained parameters; and solving a brain function signal e(k). The brain function signal extracting method is applicable to the medical field.

Description

technical field [0001] The invention relates to a signal extraction method, in particular to a brain function signal extraction method based on an empirical mode decomposition optimization algorithm of a multi-distance measurement method. Background technique [0002] Near-infrared spectroscopy can provide information on blood oxygen metabolism in the cerebral cortex during brain functional activities—the change in oxyhemoglobin concentration Δ[HbO 2 ] and reduced hemoglobin concentration change Δ[HHb], which can be used to detect brain function activity. However, the detection of brain function activities when induced by near-infrared spectroscopy technology will be affected by the physiological activities of the human body, such as heart beating, breathing, low-frequency oscillations, and ultra-low-frequency oscillations, which are called physiological interference. This physiological interference not only occurs in outer brain tissues such as scalp, skull, and cerebrospi...

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Application Information

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IPC IPC(8): A61B5/00A61B5/1455
Inventor 张岩孙金玮刘昕刘丹彼得·罗弗
Owner HARBIN INST OF TECH
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