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Near-infrared brain function signal processing method based on differential pathlength factor estimation

A differential path and signal processing technology, applied in medical science, telemetry patient monitoring, sensors, etc., can solve the problems of measurement error interference, near-infrared brain function activity response signal measurement and extraction accuracy, etc.

Active Publication Date: 2018-04-20
HARBIN INST OF TECH
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  • Application Information

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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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  • Near-infrared brain function signal processing method based on differential pathlength factor estimation
  • Near-infrared brain function signal processing method based on differential pathlength factor estimation
  • Near-infrared brain function signal processing method based on differential pathlength factor estimation

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specific Embodiment approach 1

[0068] Specific implementation mode one: combine figure 1 , figure 2 Describe this embodiment, 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 surface of the brain tissue to be tested. The linear distance between the five-wavelength light source S and the detector D is R, and the five-wavelength light source S emits The wavelength of near-infrared light is 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-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 T...

specific Embodiment approach 2

[0125] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is 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 equations to obtain oxyhemoglobin concentration change time signal and reduced hemoglobin concentration change time signal;

[0126] The specific equations can be expressed as follows:

[0127]

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

specific Embodiment approach 3

[0130] Specific embodiment three: the difference between this embodiment and one of the specific embodiments one to two is that in the step 13, the corresponding element in the third column in the matrix V obtained in the step 12 is used to obtain the detector D. The overall least squares solution of the oxygenated hemoglobin concentration change time signal and the reduced hemoglobin concentration change time signal at the detector D; respectively expressed as:

[0131]

[0132]

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

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Abstract

The invention relates to a near-infrared brain function signal processing method, in particular to a near-infrared brain function signal processing method based on differential pathlength factor estimation. The invention is intended to solve the problem of the prior art that since a big difference exists between a differential pathlength factor reference value used in modified Lambert-Beer's law and a real differential pathlength factor of an actual measurement object and measurement error disturbances also occur in time series signals of light intensity variation acquired by a light source detector, measurement and extraction of continuous wave near-infrared brain functional activity response signals are low in precision. The method of the invention includes: acquiring a time signal of light intensity variation under the fact that near-infrared rays of different wavelengths have an equal distance away from the detector; using modified Lambert-Beer's law to construct equations for thesignal; modifying the equations in matrix form; subjecting an augmented matrix to singular value decomposition so as to obtain a total least squares solution to concentration variation time signals ofoxyhemoglobin and reduced hemoglobin at the detector. The method of the invention is applicable to 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 technology can detect changes in the concentration of oxyhemoglobin and reduced hemoglobin in brain tissue, and provide information on blood oxygen changes in brain tissue during brain function activities for the detection of brain function activities. Compared with traditional brain function detection methods such as functional magnetic resonance imaging and positron emission tomography, brain function detection methods based on near-infrared spectroscopy have many advantages such as low cost, easy implementation, non-invasiveness, and good safety. [0003] When continuous wave near-infrared spectroscopy is used to measure brain functional activity, it is necessary to use Amended Lambert-Beer's Law to perform signal processing on the time-series signals of optical density changes collected by the li...

Claims

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Application Information

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Patent Type & Authority Applications(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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