Near-infrared brain-machine interface signal detection method integrating independent component analysis and least square method

A technology of independent component analysis and least squares method, applied in the field of hemoglobin concentration detection, which can solve the problems of inaccurate change in reduced hemoglobin concentration and accurate extraction of signals affecting brain function activity.

Inactive Publication Date: 2013-03-20
HARBIN INST OF TECH
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Problems solved by technology

[0005] The present invention aims to solve the problem that in the detection of the near-infrared brain-computer interface, the concentration change of oxyhemoglobin and the concentration change of reduced hemoglobin obtained by the detection are inaccurate due to the physiological interference of the human body, which affects the accurate extraction of brain function activity signals, and provides an independent Signal detection method for near-infrared brain-computer interface based on component analysis combined with least squares method

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  • Near-infrared brain-machine interface signal detection method integrating independent component analysis and least square method
  • Near-infrared brain-machine interface signal detection method integrating independent component analysis and least square method
  • Near-infrared brain-machine interface signal detection method integrating independent component analysis and least square method

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specific Embodiment approach 1

[0068] Specific implementation mode 1: the following combination figure 1 In this embodiment, the method for detecting signals of a near-infrared brain-computer interface based on independent component analysis and least squares method described in this embodiment includes the following steps:

[0069] Step 1: Use a near-infrared probe close to the scalp surface of the head to be tested, so that the near-infrared light emitted by the near-infrared probe is incident on the brain tissue to be tested. The near-infrared probe consists of a dual-wavelength light source S, a detector D1, and a detector D2 Structure, in which the linear distance between the dual-wavelength light source S and the detector D1 is r 1 , 5mm≤r 1 ≤15mm, the linear distance between the dual-wavelength light source S and the detector D2 is r 2 , 30mm≤r 2 ≤45mm; detector D1 is used to sense hemodynamic changes in the outer brain tissue, and detector D2 is used to sense hemodynamic changes in the cerebral cortex;...

specific Embodiment approach 2

[0103] Specific embodiment 2: This embodiment further explains the first embodiment. The two wavelengths emitted by the dual-wavelength light source S in this embodiment are respectively λ 1 =760nm, λ 2 = 850nm.

specific Embodiment approach 3

[0104] Specific embodiment three: this embodiment further explains the first or second embodiment, the linear distance r between the dual-wavelength light source S and the detector D1 in this embodiment 1 10mm, the linear distance r between the dual-wavelength light source S and the detector D2 2 It is 40mm.

[0105] The distance between the two detectors set in this embodiment is about twice the detection depth of the near-infrared light. This setting enables the near-infrared light detected by the detector D2 to effectively penetrate the cerebral cortex, and the near-infrared light detected by the detector D1 is only Penetrate into the outer brain tissue of the head. Then the obtained optical density change is converted into a time series of changes in oxyhemoglobin concentration Δ[HbO 2 ] N (k), Δ[HbO 2 ] F (k) and the time series of changes in the concentration of reduced hemoglobin Δ[HHb] N (k), Δ[HHb] F (k). The time series Δ[HbO 2 ] N (k), Δ[HbO 2 ] F (k) or time series Δ[...

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Abstract

A near-infrared brain-machine interface signal detection method integrating independent component analysis and least square method belongs to the technical field of hemoglobin concentration detection, and solves the problems that oxyhemoglobin concentration change and reduced hemoglobin concentration variation obtained via detection are not exact in the near-infrared brain-machine interface detection due to human physiological interference, thereby influencing the accurate extraction of brain function activity signal. Through the signal detection method, diffuse reflection light intensities are recorded when the brain is in resting state and in induced motivation with a detector, so as to obtain time sequences of Delta OD<N> Lambda 1(k) and Delta OD<N> Lambda 2(k), Delta OD<F> Lambda 1(k) and Delta OD<F> Lambda 2(k); then the Delta [HbO2]<N> (k), Delta [HHb]<N> (k), Delta [HbO2]<F> (k) and Delta [HHb]<F> (k) are obtained; the x1(k) is used for representing the Delta [HbO2]<N> (k) or the Delta [HHb2]<N> (k) in the step 2; the x2(k) is used for representing the Delta [HbO2]<F> (k) or Delta [HHb]<F> (k) in the step 2; the brain function signal expression s(k) is calculated; and the brain function signal s(k) is solved. The near-infrared brain-machine interface signal detection method is suitable for signal detection of brain-machine interface.

Description

Technical field [0001] The invention relates to a signal detection method of a near-infrared brain-computer interface of independent component analysis combined with a least square method, and belongs to the technical field of hemoglobin concentration detection. Background technique [0002] The brain-computer interface is a kind of electrophysiological measurement based on brain function established by the human brain and computer or other electronic equipment, instead of relying on the conventional human brain information output channels such as peripheral nerve and muscle tissue, to realize information between human and the outside world. A new communication system for communication and control. By analyzing brain signals, the user’s intentions such as movement are converted into language, device control input, etc., so that the user can directly interact with the outside environment in real time through brain signals, thereby bypassing the usual information channels such as h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/1455
Inventor 张岩孙金玮王宽全
Owner HARBIN INST OF TECH
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