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

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: 2014-09-17
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
  • Near-infrared brain-machine interface signal detection method integrating independent component analysis
  • Near-infrared brain-machine interface signal detection method integrating independent component analysis

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specific Embodiment approach 1

[0067] Specific implementation mode one: the following combination figure 1 Describe this embodiment, the signal detection method of the near-infrared brain-computer interface of independent component analysis combined with the least squares method described in this embodiment, it includes the following steps:

[0068] Step 1: Use a near-infrared probe close to the scalp surface of the head to be detected, 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 is composed of a dual-wavelength light source S, a detector D1 and a detector D2 , where the straight-line 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; the detector D1 is used to sense the hemodynamic changes of the outer brain tissue, and the detector D2 is used to sense the hemod...

specific Embodiment approach 2

[0102] Specific embodiment two: This embodiment is a further description of embodiment one. 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

[0103] Specific Embodiment Three: This embodiment is a further description of the first or second embodiment, the straight-line distance r between the dual-wavelength light source S and the detector D1 in this embodiment 1 is 10mm, the linear distance r between the dual-wavelength light source S and the detector D2 2 is 40mm.

[0104] The distance between the two detectors set in this embodiment is about twice the detection depth of the near-infrared light, so that the near-infrared light detected by the detector D2 can effectively penetrate into the cerebral cortex, and the near-infrared light detected by the detector D1 only Penetrates the outer layer of brain tissue. Then, the obtained optical density change is transformed into a time series of oxyhemoglobin concentration changes by amending Lambert-Beer's law △[HbO 2 ] N (k), △[HbO 2 ] F (k) and time series of changes in reduced hemoglobin concentration △[HHb] N (k), △[HHb] F (k). The time series △[HbO 2 ] N (k),...

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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<lambda1><N> (k) and Delta OD<lambda2><N> (k), Delta OD<lambda1><F> (k) and Delta OD<lambda2><F> (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 based on an independent component analysis combined with a least square method, and belongs to the technical field of hemoglobin concentration detection. Background technique [0002] Brain-computer interface is a kind of electrophysiological measurement based on brain function, which is established by human brain and computer or other electronic equipment, without relying on the conventional human brain information output channels such as peripheral nerves and muscle tissues, to realize the communication between human and the outside world. A new communication system for communication and control. By analyzing the brain signal, the user's movement and other intentions are converted into language, equipment control input, etc., so that the user can directly interact with the external environment through the brain signal in real time, thus bypassing the usual ...

Claims

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Application Information

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