CN210408435U - Near-infrared brain oxygen detection system - Google Patents
Near-infrared brain oxygen detection system Download PDFInfo
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- CN210408435U CN210408435U CN201920575368.9U CN201920575368U CN210408435U CN 210408435 U CN210408435 U CN 210408435U CN 201920575368 U CN201920575368 U CN 201920575368U CN 210408435 U CN210408435 U CN 210408435U
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Abstract
The utility model discloses a near-infrared brain oxygen detection system, which is provided with a plurality of detection units and is beneficial to improving the detection resolution; in addition, by means of staggered distribution of the near infrared light sources and the photoelectric sensors, noise of interference signals received to reduce the interference signals is reduced, accuracy and precision of cerebral blood oxygen data can be effectively improved, and the technical problem that a near infrared spectrum cerebral oxygen detection system in the prior art is low in data precision is solved.
Description
Technical Field
The utility model belongs to the technical field of brain information acquisition and specifically relates to a near-infrared brain oxygen detecting system.
Background
Near-infrared spectroscopy (NIRS), an emerging force of medical imaging technology, is being increasingly applied to the field of biomedicine and has now become a focus of research. The principle of NIRS imaging is the interaction of light and brain tissue, and NIRS is based on the absorption spectrum of each main chromosphere in living tissue, combines the propagation rule of light in the tissue, and utilizes the characteristic of good penetrating power of near infrared light to research the information carried by the near infrared light when the near infrared light is emitted after being absorbed and scattered in the tissue.
In addition, near infrared spectroscopy is widely used as a brain oxygen monitoring technique that uses the relative transparency of the near infrared band to biological tissues to obtain the change in the concentration of oxyhemoglobin and deoxyhemoglobin by detecting the optical properties of the tissues. Compared with other technologies for monitoring cortical functional activities such as functional magnetic resonance imaging and electroencephalogram, the near infrared spectrum technology can simultaneously have higher spatial resolution and temporal resolution. Meanwhile, the near infrared spectrum technology can monitor brain function activities non-invasively and continuously, and the device is small in size and low in detection cost. However, the known near infrared spectrum brain oxygen detection system has the defect of low data precision, so that the improvement of the system is needed.
SUMMERY OF THE UTILITY MODEL
The present invention aims at solving at least one of the technical problems in the related art to a certain extent. Therefore, the utility model discloses an aim at provides a near-infrared brain oxygen detecting system for improve the degree of accuracy of brain blood oxygen data.
The utility model adopts the technical proposal that:
the utility model provides a near-infrared brain oxygen detecting system, including master control circuit, a light source drive circuit and a plurality of detecting element that are used for driving near-infrared light source, detecting element includes near-infrared light source and photoelectric sensor, near-infrared light source can send the near-infrared light of two kinds of different wavelengths, photoelectric sensor's output with master control circuit's input is connected, master control circuit's output with light source drive circuit's input is connected, light source drive circuit's output with near-infrared light source's input is connected, detecting element is used for organizing transmission near-infrared light to the brain and receives the warp the near-infrared light of brain tissue scattering and refraction back outgoing, near-infrared light source with staggered arrangement distributes between the photoelectric sensor.
Further, the brain tissue includes parietal and/or temporal lobe tissue.
Further, the horizontal distance between the near-infrared light source and the photoelectric sensor ranges from 1.8cm to 2.5 cm.
Further, the horizontal distance range of the photoelectric sensor is 3.6 cm-4.8 cm.
Further, the longitudinal distance range of the photoelectric sensor is 2.8 cm-3.2 cm.
Furthermore, the wavelength range of the near infrared light emitted by the near infrared light source is 760 nm-850 nm.
Furthermore, the main control circuit comprises a sub-main control circuit and a computer, the computer is connected with the sub-main control circuit, the output end of the sub-main control circuit is connected with the input end of the light source driving circuit, and the output end of the photoelectric sensor is connected with the input end of the sub-main control circuit.
Furthermore, the light source driving circuit comprises a digital-to-analog conversion circuit and a voltage-to-current conversion circuit, the output end of the main control circuit is connected with the input end of the digital-to-analog conversion circuit, the output end of the digital-to-analog conversion circuit is connected with the input end of the voltage-to-current conversion circuit, and the output end of the voltage-to-current conversion circuit is connected with the input end of the near-infrared light source.
Furthermore, the light source driving circuit further comprises a low-pass filter circuit, an output end of the digital-to-analog conversion circuit is connected with an input end of the low-pass filter circuit, and an output end of the low-pass filter circuit is connected with an input end of the voltage-to-current conversion circuit.
Further, the near-infrared brain oxygen detection system comprises at least twenty detection units.
The utility model has the advantages that:
the near-infrared brain oxygen detection system of the utility model is provided with a plurality of detection units, which is beneficial to improving the detection resolution; in addition, by means of staggered distribution of the near infrared light sources and the photoelectric sensors, noise of interference signals received to reduce the interference signals is reduced, accuracy and precision of cerebral blood oxygen data can be effectively improved, and the technical problem that a near infrared spectrum cerebral oxygen detection system in the prior art is low in data precision is solved.
Additionally, the utility model discloses still through regarding parietal lobe tissue and/or temporal lobe tissue position as the detection site, can further improve the degree of accuracy of brain blood oxygen data.
Drawings
Fig. 1 is a block diagram of a near-infrared brain oxygen detection system according to an embodiment of the present invention;
fig. 2 is a schematic view of a specific embodiment of a headgear of a near-infrared brain oxygen detection system according to the present invention;
fig. 3 is a schematic view of another embodiment of the headgear of the near-infrared brain oxygen detection system of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a block diagram of a near-infrared brain oxygen detection system according to an embodiment of the present invention; the near-infrared brain oxygen detection system comprises a main control circuit, a light source driving circuit for driving a near-infrared light source and a plurality of detection units, wherein the detection system is provided with at least twenty detection units, each detection unit comprises a near-infrared light source and a photoelectric sensor, the near-infrared light source can emit near-infrared light with two different wavelengths, the two wavelengths are 760 nm-850 nm, only different wavelengths need to be selected, and the emission power ranges of the light with the two wavelengths are respectively 10mw-15mw and 10mw-18 mw; the detection units are used for emitting near infrared light to the brain tissue and receiving the near infrared light emitted after the near infrared light is scattered and refracted by the brain tissue, the near infrared light sources and the photoelectric sensors are distributed in a staggered mode, specifically, the output end of the main control circuit is connected with the input end of the light source driving circuit, the output end of the light source driving circuit is connected with the input end of the near infrared light source so that the near infrared light source emits the near infrared light to the brain tissue, the photoelectric sensor is responsible for detecting the near infrared light signal emitted after the scattering and refraction of the brain tissue, the output end of the photoelectric sensor is connected with the input end of the main control circuit so as to transmit the received near infrared light signal to the main control circuit, the main control circuit is used for completing data reading and shunting, demodulating and extracting carried tissue hemodynamics information and brain blood oxygen data storage and display and other functions according to near infrared light signals received by the photoelectric sensor. In this embodiment, the main control circuit includes a sub-main control circuit and a computer, the sub-main control circuit is connected to the computer to receive a control instruction of the computer, an output end of the sub-main control circuit is connected to an input end of the light source driving circuit, and an output end of the photoelectric sensor is connected to an input end of the sub-main control circuit. Specifically, the sub-master control circuit comprises a microcontroller, and the microcontroller adopts a USB micro-control chip CY7C68013 to realize USB communication between the microcontroller and the computer.
The near-infrared brain oxygen detection system of the utility model is provided with a plurality of detection units, and the increase of the number of the near-infrared light sources and the photoelectric sensors is beneficial to the overall improvement of the resolution ratio of the detected part; the multi-channel synchronous detection is realized by introducing a frequency division multiplexing technology and a modulation and demodulation technology in the communication field; in addition, by means of staggered distribution of the near infrared light sources and the photoelectric sensors, noise of interference signals received to reduce the interference signals is reduced, accuracy and precision of cerebral blood oxygen data can be effectively improved, and the technical problem that a near infrared spectrum cerebral oxygen detection system in the prior art is low in data precision is solved. Specifically, signals of near-infrared light sources of the detection unit are coded, a photoelectric sensor correspondingly receives a signal of a near-infrared light source, and the photoelectric sensor can filter interference signals according to different codes to detect near-infrared light emitted by the near-infrared light sources corresponding to the codes; in addition, the near-infrared light sources and the photoelectric sensors are distributed in a staggered mode, so that the fact that the photoelectric sensors receive other coded near-infrared light signals can be further reduced, and noise of interference signals is reduced.
During actual detection, the detection unit is placed in the left and right parietal lobes and partial left and right temporal lobe brain areas of the brain of a detected person to emit near infrared light to the brain tissue, and the detection unit receives the emitted near infrared light scattered and refracted by the brain tissue; the main control circuit performs data reading and data processing on the near infrared light received by the detection unit to obtain cerebral blood oxygen data, wherein the cerebral blood oxygen data comprise oxyhemoglobin concentration and/or deoxyhemoglobin concentration; the method for processing data to obtain the cerebral blood oxygen data adopts the existing data processing method, which is not described herein again; it is noted that the software structure of the data reading and processing stages is in a producer/consumer mode. In the embodiment, data processing in a computer is realized by adopting a LabVIEW software system, a software structure adopts a producer/consumer design mode, two parallel While cycles of a data reading link and a data processing link share the same cache queue, and data in a USB is read in the While cycle of the data reading link and written into the cache queue; the parallel multi-cycle structure has the advantages that the data reading link can read next time without waiting for the completion of the data processing link, the data processing link can continuously process data without waiting for the completion of the data reading link, and the application of the design mode can improve the running efficiency of a program and the real-time performance of the program, thereby improving the acquisition speed of cerebral blood oxygen data and improving the real-time performance of data acquisition.
Further, the near-infrared light source is implemented by using a Light Emitting Diode (LED), and since the LED is a nonlinear device, directly driving the LED light source by using a voltage signal may cause distortion of a light intensity signal emitted by the light source, in this embodiment, the light source driving circuit drives the LED light source by using a current signal. Referring to fig. 1, the light source driving circuit includes a digital-to-analog conversion circuit, a low-pass filter circuit, and a voltage-to-current conversion circuit, an output terminal of the main control circuit is connected to an input terminal of the digital-to-analog conversion circuit, an output terminal of the digital-to-analog conversion circuit is connected to an input terminal of the low-pass filter circuit, an output terminal of the low-pass filter circuit is connected to an input terminal of the voltage-to-current conversion circuit, and an output terminal of the voltage-to-current conversion circuit is connected. The digital-analog conversion circuit receives a control instruction (such as a digital frequency signal) output by the main control circuit to output a sinusoidal carrier signal required by the near-infrared light source, the low-pass filter circuit filters high-frequency noise generated by a power supply or other interference in the sinusoidal carrier signal, and finally the voltage-current conversion circuit converts the voltage signal into a current signal to drive the near-infrared light source.
Furthermore, the brain tissue includes a parietal lobe tissue and/or a temporal lobe tissue, in this embodiment, the detection ranges of the plurality of detection units cover the regions where the parietal lobe tissue and a part of the temporal lobe tissue are located, and the accuracy of the cerebral blood oxygen data can be further improved by using the parietal lobe tissue and the temporal lobe tissue as the detection parts.
Notably, the depth of brain oxygen detection is mainly determined by two parameters: wavelength and distance between the light source and the photosensor, the distance between the light source and the photosensor determines whether light can pass through the nerve tissue: generally, the farther the distance between the light source and the photosensor is, the deeper the light is detected, however, too much distance may cause too weak light intensity reaching the photosensor. The ideal distance is determined by the depth of the capillary vessels and demographic parameters of the human subject, and for Chinese people, the black skin and black hair absorb light with most wavelengths, so that the distance between the light source and the photoelectric sensor is selected to be shorter to improve the detected light intensity, and in the standard study of human brain penetration into the skull, the light penetration path is six times the distance between the light source and the photoelectric sensor. Therefore, it can be found that too close distance between the light source and the photoelectric sensor can make the detection depth too shallow to reach the cortical tissue, and too far distance can make the near infrared light emitted from the tissue too attenuated to detect or make the detected signal too noisy, so that each pair of light source and photoelectric sensor are staggered and set a corresponding distance range, specifically, the horizontal distance range between the near infrared light source and the photoelectric sensor is 1.8 cm-2.5 cm. The horizontal distance range of the photoelectric sensor is 3.6 cm-4.8 cm, and the longitudinal distance range of the photoelectric sensor is 2.8 cm-3.2 cm. In actual use, the photoelectric sensor and the near-infrared light source are arranged on the detection head sleeve, and in order to enable the system to adapt to more test conditions, the detection head sleeve needs to be convenient to wear and reduce the interference on a testee as much as possible. Meanwhile, the detection head cover is also required to have the functions of shielding ambient light and improving the signal-to-noise ratio of the detection signal, and referring to fig. 2, fig. 2 is a schematic view of a specific embodiment of the head cover of the near-infrared brain oxygen detection system of the present invention; in this embodiment, 20 light source-photosensor pairs, that is, 20 detection channels, are disposed on the detection head sleeve D, the near-infrared light sources a and the photosensors B are distributed in a staggered arrangement, a distance between the near-infrared light sources a and the photosensors B is 2cm, a horizontal distance between the photosensors B is 4.2cm, and a longitudinal distance between the photosensors B is 3 cm. The detection area of the detection headgear D is 15cm multiplied by 8cm, and the detection headgear D can cover the left and right parietal lobes of the head of an adult and partial left and right temporal lobe brain areas. In addition, for wearing convenience, ear loops F are arranged on two sides of the detection head sleeve D, and a chin loop E for fixing the head sleeve conveniently is arranged on the chin loop. The near infrared light source A is realized by adopting a bicolor wavelength light-emitting diode, the wavelengths of the light source are respectively 760nm and 850nm, and the maximum emission power of the light with the two wavelengths is respectively 15mw and 18 mw. Finally, the photo-sensor is implemented using a photodiode.
When the detecting unit and the international electroencephalogram (EEG) positioning system exist at the same time and are disposed on the detecting headgear, referring to fig. 3, fig. 3 is a schematic view of another specific embodiment of the headgear of the near-infrared brain oxygen detecting system of the present invention, wherein the EEG comprises 64 brain electrodes C, and in order to avoid cross detection with the EEG, the near-infrared light source a and the photoelectric sensor B are disposed near these brain electrodes to form corresponding channels with different lengths. The near-infrared light source A and the photoelectric sensor B cannot be arranged on the same straight line with the brain electrode C, and interference caused by signal coupling is avoided.
While the preferred embodiments of the present invention have been described, the present invention is not limited to the embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and such equivalent modifications or substitutions are intended to be included within the scope of the present invention as defined by the appended claims.
Claims (10)
1. The utility model provides a near-infrared brain oxygen detecting system, its characterized in that, includes master control circuit, a light source drive circuit and a plurality of detecting element that are used for driving near-infrared light source, detecting element includes near-infrared light source and photoelectric sensor, near-infrared light source can send the near-infrared light of two kinds of different wavelength, photoelectric sensor's output with master control circuit's input is connected, master control circuit's output with light source drive circuit's input is connected, light source drive circuit's output with near-infrared light source's input is connected, detecting element is used for organizing near-infrared light emission brain and receives the warp the near-infrared light of brain tissue scattering and refraction back outgoing, near-infrared light source with staggered arrangement distributes between the photoelectric sensor.
2. The near-infrared brain oxygen detection system of claim 1, wherein the brain tissue comprises parietal and/or temporal lobe tissue.
3. The near-infrared brain oxygen detection system according to claim 1, wherein the horizontal distance between the near-infrared light source and the photoelectric sensor ranges from 1.8cm to 2.5 cm.
4. The near-infrared brain oxygen detection system according to any one of claims 1 to 3, wherein the horizontal pitch of the photoelectric sensors ranges from 3.6cm to 4.8 cm.
5. The near-infrared brain oxygen detection system according to any one of claims 1 to 3, wherein the longitudinal distance between the photoelectric sensors is in a range of 2.8cm to 3.2 cm.
6. The near-infrared brain oxygen detection system according to any one of claims 1 to 3, wherein the near-infrared light source emits near-infrared light in a wavelength range of 760nm to 850 nm.
7. The system according to any one of claims 1 to 3, wherein the main control circuit comprises a sub-main control circuit and a computer, the computer is connected to the sub-main control circuit, an output terminal of the sub-main control circuit is connected to an input terminal of the light source driving circuit, and an output terminal of the photoelectric sensor is connected to an input terminal of the sub-main control circuit.
8. The system according to any one of claims 1 to 3, wherein the light source driving circuit comprises a digital-to-analog conversion circuit and a voltage-to-current conversion circuit, the output terminal of the main control circuit is connected to the input terminal of the digital-to-analog conversion circuit, the output terminal of the digital-to-analog conversion circuit is connected to the input terminal of the voltage-to-current conversion circuit, and the output terminal of the voltage-to-current conversion circuit is connected to the input terminal of the near-infrared light source.
9. The near-infrared brain oxygen detection system according to claim 8, wherein the light source driving circuit further comprises a low-pass filter circuit, an output terminal of the digital-to-analog conversion circuit is connected to an input terminal of the low-pass filter circuit, and an output terminal of the low-pass filter circuit is connected to an input terminal of the voltage-to-current conversion circuit.
10. The near-infrared brain oxygen detection system according to any one of claims 1 to 3, wherein the near-infrared brain oxygen detection system comprises at least twenty detection units.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109998559A (en) * | 2019-04-24 | 2019-07-12 | 深圳市太赫兹科技有限公司 | A kind of Near-infrared Brain oxygen detection system and method |
| CN111803043A (en) * | 2020-07-17 | 2020-10-23 | 清华大学 | Flexible brain imaging device optimization device and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109998559A (en) * | 2019-04-24 | 2019-07-12 | 深圳市太赫兹科技有限公司 | A kind of Near-infrared Brain oxygen detection system and method |
| CN111803043A (en) * | 2020-07-17 | 2020-10-23 | 清华大学 | Flexible brain imaging device optimization device and method |
| CN111803043B (en) * | 2020-07-17 | 2021-05-25 | 清华大学 | Flexible brain imaging device optimization device and method |
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Effective date of registration: 20200916 Address after: Room A601, No.1, MeiXun digital technology factory, No.19, Jinxiu Middle Road, Laokeng community, Longtian street, Pingshan District, Shenzhen City, Guangdong Province Patentee after: SHENZHEN ET MEDICAL TECHNOLOGY Co.,Ltd. Address before: 518000 building 3, 5A, Taihua Indus Industrial Park, Baoan District City, Shenzhen, Guangdong. Patentee before: SHENZHEN TAIHEZI TECHNOLOGY Co.,Ltd. |