Brain-computer interface system based on direct measurement time-of-flight technology, brain-computer interface wearable device and control method thereof

A brain-computer interface and time-of-flight technology, applied in diagnostic recording/measurement, computer components, mechanical mode conversion, etc., can solve problems such as high cost, large equipment volume, and low precision

Pending Publication Date: 2021-08-17
江苏集萃脑机融合智能技术研究所有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The disadvantage of the traditional continuous wave near-infrared brain-computer interface technology is that it has low precision, can only measure the relative value of blood oxygen changes, and cannot measure the phase information.
Frequency-domain method functions Near-infrared brain-computer interface technology needs to modulate the signal into a high-frequency band, so the equipment is large in size and high in cost, and it is difficult to make wearable products, which limits the scope of application
Time-domain method functions Near-infrared brain-computer interface technology needs to generate nanosecond or even picosecond pulse waves, which has extremely high requirements for semiconductor devices, especially optical sensors. At present, the cost of this technology is also the highest.

Method used

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  • Brain-computer interface system based on direct measurement time-of-flight technology, brain-computer interface wearable device and control method thereof
  • Brain-computer interface system based on direct measurement time-of-flight technology, brain-computer interface wearable device and control method thereof
  • Brain-computer interface system based on direct measurement time-of-flight technology, brain-computer interface wearable device and control method thereof

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Effect test

Embodiment approach 1

[0048] This embodiment provides a brain-computer interface system based on direct measurement time-of-flight technology, including a processor for controlling the entire brain-computer interface system;

[0049] a light source module, configured to emit incident light;

[0050] A photoelectric sensor for receiving reflected light and converting the light signal into an electrical signal;

[0051] The transimpedance amplifier is used to convert the electrical signal converted and output by the photoelectric sensor into a processable voltage signal;

[0052] An analog-to-digital converter is used to perform analog-to-digital sampling on the received voltage signal and record the amplitude;

[0053] The first height comparator is used to record the moment when the light source module emits light as the starting moment of time measurement;

[0054] The second high-speed comparator is used to record the time when the reflected light is received as the end time of time measurement...

Embodiment approach 2

[0058] This embodiment provides a brain-computer interface system based on direct measurement time-of-flight technology, including:

[0059] A processor for controlling the entire brain-computer interface system;

[0060] a light source module, configured to emit incident light;

[0061] A photoelectric sensor for receiving reflected light and converting the light signal into an electrical signal;

[0062] The transimpedance amplifier is used to convert the electrical signal converted and output by the photoelectric sensor into a processable voltage signal;

[0063] An analog-to-digital converter is used to perform analog-to-digital sampling on the received voltage signal and record the amplitude;

[0064] The first height comparator is used to record the moment when the light source module emits light as the starting moment of time measurement;

[0065] The second high-speed comparator is used to record the time when the reflected light is received as the end time of time ...

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Abstract

The invention provides a brain-computer interface system based on a direct flight time measurement technology, brain-computer interface wearable equipment and a control method thereof, and the system comprises a processor which is used for controlling the whole brain-computer interface system; a light source module, a photoelectric sensor, a trans-impedance amplifier, an analog-to-digital converter, a first height comparator and a second high-speed comparator. According to the system, a direct time-of-flight (DDoF) measurement technology is applied to the field of functional near-infrared brain-computer interfaces. By directly measuring the time difference between the incident ultrashort pulse near-infrared light and the emergent ultrashort pulse near-infrared light, the passing distance of the near-infrared light in the brain is calculated, and according to the scheme, the absolute value of the concentration of deoxyhemoglobin and oxyhemoglobin in the brain can be measured; and the position of the blood oxygen change of the brain can be directly measured.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a brain-computer interface system based on direct measurement time-of-flight technology, a brain-computer interface wearable device and a control method thereof. Background technique [0002] The thinking activities of the brain will cause changes in the concentration of oxyhemoglobin and deoxyhemoglobin in the brain tissue, and will cause changes in the energy transmission loss of 600nm to 900nm near-infrared light in the cerebral cortex. Near-infrared spectroscopy technology can detect the blood oxygen value of the cerebral cortex in real time, and then deduce the thinking activities of the brain to control external equipment, and finally realize artificial intelligence and a high degree of integration between humans and machines. At present, there are three main schemes for realizing brain-computer interface through functional near-infrared technolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01A61B5/1455
CPCG06F3/015A61B5/14553
Inventor 李刘杰程传同陈弘达黄北举丁可黄海鹏
Owner 江苏集萃脑机融合智能技术研究所有限公司
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