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Recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on multi-distance measurement method

A recursive least squares, adaptive filtering technology, applied in the directions of diagnostic recording/measurement, application, medical science, etc., can solve problems such as the inability to effectively remove various physiological interferences

Inactive Publication Date: 2013-10-23
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that adaptive filtering cannot effectively remove various physiological disturbances during brain function detection and requires the use of additional equipment, and provides a recursive least squares adaptive filtering approach based on a multi-distance measurement method. Extraction method of infrared brain function activity signal

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  • Recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on multi-distance measurement method
  • Recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on multi-distance measurement method
  • Recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on multi-distance measurement method

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specific Embodiment approach 1

[0034] Specific implementation mode one: combine figure 1 Illustrate this embodiment, the recursive least squares self-adaptive filter near-infrared brain function activity signal extraction method based on the multi-distance measurement method of the present invention, it comprises the following steps:

[0035] 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 a of the brain tissue to be tested. The linear distance between the dual-wavelength light source S and the detector D1 is r 1 , 5mm1 2 , 30mm2 1 and lambda 2 Time series of optical density changes at time: and and k is time, k=1,2,...,N, N is a positive integer; Indicates that the straight-line distance between the dual-wavelength light source S and the detector D1 is r 1 and the wavelength is λ 1 time series of light density changes, Indicates that the straight-line distance between the dual-wavelength light source S and th...

specific Embodiment approach 2

[0061] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that the two wavelengths emitted by the dual-wavelength light source S described in step 1 are λ 1 =760nm, λ 2 =850nm.

specific Embodiment approach 3

[0062] Embodiment 3: This embodiment differs from Embodiment 1 in that the linear distance between the dual-wavelength light source S and the detector D1 in step 1 is 10 mm, and the linear distance between the dual-wavelength light source S and the detector D2 is 40 mm.

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Abstract

A recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on a multi-distance measurement method relates to a brain function signal extraction method and aims at resolving the problem that adaptive filtering cannot effectively eliminate various physiological interferences, and external equipment is required. The recursive least squares adaptive-filtering near-infrared brain function signal extraction method comprises the following steps of arranging a near-infrared probe formed by a double-wavelength light source S, a detector D1 and a detector D2 in brain tissue scalp to be detected to acquire optical density variation quantity; using the correction Lambert-beer's law to acquire oxyhemoglobin concentration variation quantity and reduced hemoglobin concentration variation quantity measured by the light source S and the detectors; constructing adaptive-filtering brain function signal function; and using the least squares estimation criterion to solve and optimize coefficient vector of a filter to further solve brain function motion signals. The recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on the multi-distance measurement method is used for extracting brain function motion signals and effectively eliminates various physiological interferences without external equipment.

Description

technical field [0001] The invention relates to a brain function activity signal extraction method, in particular to a recursive least squares adaptive filtering near-infrared brain function activity signal extraction method based on a multi-distance measurement method. Background technique [0002] Near-infrared spectroscopy (NIRS) can provide information on blood oxygen metabolism in the cerebral cortex during brain function activities—the change in the concentration of oxyhemoglobin (Δ[HbO 2 ]) and reduced hemoglobin concentration changes (Δ[HHb]), which can be used to detect brain function activities. Compared with other brain function detection methods such as: functional nuclear magnetic resonance, magnetoencephalography, positron emission tomography, and electroencephalography, near-infrared spectroscopy is convenient to use, easy to implement, high in time resolution, and safe. , Cheap and other advantages. However, the use of near-infrared spectroscopy to detect b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/1455
Inventor 张岩孙金玮张斌刘昕彼得·罗弗
Owner HARBIN INST OF TECH
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