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

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

Inactive Publication Date: 2012-06-27
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

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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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Example Embodiment

[0032] Specific embodiment one: combination figure 1 To explain this embodiment, the recursive least squares adaptive filtering near-infrared brain function activity signal extraction method based on the multi-distance measurement method of the present invention includes the following steps:

[0033] Step 1: Place a near-infrared probe composed 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 λ 2 Time series of optical density changes at time: with with k is time, k=1, 2,..., N, N is a positive integer; Indicates that the linear distance between the dual-wavelength light source S and the detector D1 is r 1 And the wavelength is λ 1 Time series of changes in time density, Indicates that the linear distance between the dual-wavelength light source S and the detector D1 is r 1 And the waveleng...

Example Embodiment

[0057] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the two wavelengths emitted by the dual-wavelength light source S described in step 1 are λ respectively. 1 =760nm, λ 2 = 850nm.

Example Embodiment

[0058] Embodiment 3: This embodiment is different from Embodiment 1 in that the linear distance between the dual-wavelength light source S and the detector D1 described 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 in the process of brain function activities—the change of oxygenated hemoglobin concentration (Δ[HbO 2 ]) and reduced hemoglobin concentration changes (Δ[HHb]), which can be used to detect brain functional activity. 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...

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Application Information

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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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