CN116584888A - Multi-mode brain function signal acquisition device and method - Google Patents
Multi-mode brain function signal acquisition device and method Download PDFInfo
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Abstract
The application provides a multi-mode brain function signal acquisition device and a method, wherein the device comprises the following components: a cap body; the electroencephalogram acquisition device comprises a support piece and a plurality of acquisition antennae; the support piece is in a hollow cylinder shape, each acquisition antenna is arranged along the circumference of the first port of the support piece, and the first port is connected with the cap body; the near infrared acquisition device comprises a light guide column, a near infrared light source and a photodiode; the light guide column is in a transparent hollow cylinder shape and is arranged on the inner periphery of the supporting piece, the near infrared light source and the photodiode are arranged at the second port of the light guide column, and the first port of the light guide column is fixed on the cap body; a transimpedance amplifier connected to the photodiode; the first analog-digital converter is connected with the electroencephalogram acquisition device; a second analog-to-digital converter connected to the photodiode; and the micro control unit is connected with the first analog-digital converter and the second analog-digital converter. The application can monitor the same brain part at the same time through electroencephalogram and functional near infrared light data.
Description
Technical Field
The application relates to the technical field of brain function detection, in particular to a multi-mode brain function signal acquisition device and method.
Background
The multi-modal synchronous monitoring method of brain state is used in large quantities in brain function research. In multimodal monitoring, a combination of functional near infrared spectroscopy (FNIRS) and electroencephalography (EEG) is receiving increasing attention. However, in the prior art, when monitoring the brain, the functional near infrared spectrum detection device and the electroencephalogram detection device can only be placed nearby, the activity state of a brain part can be monitored independently, the same brain part can not be monitored at the same time, and the monitoring of the brain activity of a user by adopting a monitoring technology can lead to the problem of inaccurate monitoring.
Disclosure of Invention
In view of this, the embodiment of the application provides a multi-mode brain function signal acquisition device and a multi-mode brain function signal acquisition method, so as to solve the problem that the same brain part cannot be monitored by a functional near infrared spectrum technology and an electroencephalogram technology at the same time in the prior art.
One aspect of the present application provides a multi-modal brain function signal acquisition device comprising:
a cap body;
the electroencephalogram acquisition device comprises a support piece and a plurality of acquisition antennae; the support piece is in a hollow cylinder shape, each acquisition antenna is arranged along the circumference of a first port of the support piece, and the first port is connected with the cap body; the acquisition antenna is contacted with the scalp of the user to acquire the electroencephalogram signals of the user;
the near infrared acquisition device comprises a light guide column, a near infrared light source and a photodiode; the light guide column is transparent hollow cylindrical, the diameter of the light guide column is smaller than that of the supporting piece, the light guide column is arranged on the inner periphery of the supporting piece, the near infrared light source and the photodiode are arranged on the second port of the light guide column, and the first port of the light guide column is fixed on the cap body; the near infrared light emitted by the near infrared light source reaches the cerebral cortex of the user through the light guide column, after the oxygen-containing hemoglobin and the deoxidized hemoglobin of the cerebral cortex of the user absorb near infrared light with specific wavelength, the unabsorbed near infrared light reaches the photodiode through the light guide column after being scattered, the unabsorbed near infrared light is converted into a current signal by the photodiode, and the current signal is analyzed to obtain the oxygen-containing hemoglobin and the deoxidized hemoglobin change of the cerebral of the user, so as to obtain the movement condition of the brain of the user;
a transimpedance amplifier connected to the photodiode for converting the current signal into a voltage signal;
the first analog-digital converter is connected with the electroencephalogram acquisition device and used for converting the electroencephalogram signals into first digital signals, and the second analog converter is connected with the transimpedance amplifier and used for converting the voltage signals into second digital signals;
and the micro control unit is connected with the first analog-digital converter and the second analog-digital converter.
In some embodiments, the support and each acquisition antenna are made of silver chloride.
In some embodiments, each acquisition antenna is coated with a conductive gel.
In some embodiments, the light guide column is made of acrylic.
In some embodiments, the inner wall of the light guide column is coated with a reflective coating.
Another aspect of the present application provides a brain function signal acquisition method, including:
acquiring an electroencephalogram signal acquired by an electroencephalogram acquisition device and a current signal acquired by a near infrared acquisition device;
the electroencephalogram signals are sequentially subjected to high-pass filtering, low-pass filtering and signal amplitude amplification and then input into a first analog-digital converter, the first analog-digital converter converts the electroencephalogram signals into first digital signals and then transmits the first digital signals to a micro-control unit, and the first digital signals are processed to obtain electroencephalograms of the brain of a user;
the current signal is input into a transimpedance amplifier to be converted into a voltage signal, the voltage signal is input into a second analog-digital converter after being subjected to low-pass filtering, the second analog-digital converter converts the filtered voltage signal into a second digital signal and then transmits the second digital signal to the micro control unit, and the second digital signal is processed to obtain functional near infrared light data of the brain of a user;
and analyzing the electroencephalogram and the functional near infrared light data to obtain the activity condition of the brain of the user.
In some embodiments, the analog-to-digital converter transmits the first digital signal and the second digital signal to the micro control unit via an SPI protocol and processes the first digital signal and the second digital signal to obtain the electroencephalogram and the functional near infrared light data.
In some embodiments, further comprising:
the micro control unit converts the first digital signal and the second digital signal into user brain data, and then transmits the user brain data to a data processing device through a Wifi module, a zigbee module and/or a Bluetooth module, and the data processing device converts the user brain data into electroencephalogram and functional near infrared light data.
In some embodiments, the electroencephalogram signal is sequentially subjected to high-pass filtering, low-pass filtering and signal amplitude amplification and then input into an analog-to-digital converter, wherein,
the high pass filter filters out the electroencephalogram signals with the frequency lower than 0.5HZ, and the low pass filter filters out the electroencephalogram signals with the frequency higher than 200 HZ.
In some embodiments, the voltage signal is low-pass filtered and input to the analog-to-digital converter, wherein,
the low pass filter filters out voltage signals with frequencies above 10 HZ.
The application has the advantages that:
according to the multi-mode brain function signal acquisition device and method, the near infrared acquisition device and the brain electricity acquisition device are arranged on the same hat body, brain electricity signals of the brain of a user are acquired through the brain electricity acquisition device, the near infrared acquisition device acquires current signals of the brain of the user and processes the current signals to obtain electroencephalogram and functional near infrared light data of the user, the electroencephalogram and the functional near infrared light data are analyzed to obtain activity conditions of the brain of the user at the same time and the same brain position, and the electroencephalogram and the functional near infrared light data are combined for analysis, so that the activity conditions in the brain of the user can be known more accurately.
Further, the near infrared acquisition device and the electroencephalogram acquisition device are arranged on the same cap body, so that the photoelectric signals of the same brain part can be acquired at the same time, and the detection and analysis of the same brain part can be more accurate.
Further, the reflective coating on the inner wall of the light guide column can reflect the unabsorbed near infrared light to the photodiode, so that the photodiode can convert the unabsorbed near infrared light into current signals, and the accuracy of the acquisition result of the near infrared acquisition device is ensured.
Additional advantages, objects, and features of the application will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
It will be appreciated by those skilled in the art that the objects and advantages that can be achieved with the present application are not limited to the above-described specific ones, and that the above and other objects that can be achieved with the present application will be more clearly understood from the following detailed description.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and together with the description serve to explain the application. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the application. Corresponding parts in the drawings may be exaggerated, i.e. made larger relative to other parts in an exemplary device actually manufactured according to the present application, for convenience in showing and describing some parts of the present application. In the drawings:
fig. 1 is a brain signal acquisition device according to an embodiment of the application.
Fig. 2 is an analog circuit according to an embodiment of the application.
Fig. 3 is a schematic diagram of an internal circuit structure of a first adc according to an embodiment of the application.
Fig. 4 is a circuit diagram of a transimpedance amplifier according to an embodiment of the present application.
Fig. 5 is a diagram of a second order low pass filter according to an embodiment of the application.
Fig. 6 shows an internal circuit structure of a second adc according to an embodiment of the application.
Detailed Description
The present application will be described in further detail with reference to the following embodiments and the accompanying drawings, in order to make the objects, technical solutions and advantages of the present application more apparent. The exemplary embodiments of the present application and the descriptions thereof are used herein to explain the present application, but are not intended to limit the application.
It should be noted here that, in order to avoid obscuring the present application due to unnecessary details, only structures and/or processing steps closely related to the solution according to the present application are shown in the drawings, while other details not greatly related to the present application are omitted.
It should be emphasized that the term "comprises/comprising" when used herein is taken to specify the presence of stated features, elements, steps or components, but does not preclude the presence or addition of one or more other features, elements, steps or components.
It is also noted herein that the term "coupled" may refer to not only a direct connection, but also an indirect connection in which an intermediate is present, unless otherwise specified.
Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar components, or the same or similar steps.
Brain activity can provide a variety of physiological information, and various techniques have been developed over the years to study brain signals from different neurophysiologic mechanisms. Since there is a constant lack of a specific technique to record the entire spectral information generated by these signals, a multi-modal synchronous monitoring method of brain states is widely used. In multimodal monitoring, integration of functional near infrared spectroscopy (FNIRS) and electroencephalography (EEG) is receiving increasing attention. The functional near infrared spectrum is a relatively new neuroimaging technology, and gradually becomes used due to the advantages of light weight, portability and low costA very wide range of tools for monitoring brain activity. Functional near infrared spectroscopy is a scalp-based optical spectroscopy measurement method that uses light sources and detectors to measure hemodynamic changes in brain tissue. Functional near infrared spectroscopy can record blood oxygen saturation levels (BOLD), i.e., compensatory hemodynamic reactions occurring in the brain due to increased oxygen demand in activated brain regions. The functional near infrared spectrum depends on differential measurement of scattered light, which is sensitive to changes in the concentration of the two main oscillation absorbing chromophores in the near infrared spectrum, i.e. to oxyhemoglobin and deoxyhemoglobin (O 2 Hb and HHb) concentration variations are sensitive. O (O) 2 Hb and HHB have different absorption spectra in the near infrared (650-900 nm) range. This property, coupled with the low absorptivity of water over the same wavelength range, makes it possible to measure the relative concentrations and oscillations of these substances. For many years, the functional near infrared spectrum technology has become a brain imaging method widely applied to different populations and experimental conditions.
Electroencephalography is a relatively mature technique in the fields of neurology and neuroimaging that captures macroscopic temporal dynamics of brain electrical activity through passive measurement of scalp positioning voltages. The device is suitable for capturing macroscopic time dynamic brain electrical activity and measuring scalp positioning voltage passively. Electroencephalogram systems are widely used in clinical and non-clinical settings for diagnosing and monitoring brain function and dysfunction.
The brain electrical activity and its corresponding hemodynamics do not have perfect spatiotemporal correspondence. Their interactions are mediated through neurovascular coupling mechanisms and can be studied using combinatorial techniques. Conversely, if a neurovascular coupling model is assumed, a higher neural signal estimation accuracy can be obtained from the multi-modal measurement. These two registration procedures have many advantages: the functional near infrared spectroscopy and electroencephalogram techniques are better able to resist motion artifacts without significant physical limitations, particularly in comparison to Functional Magnetic Resonance Imaging (FMRI), positron Emission Tomography (PET) or Magnetoencephalography (MEG). And thus are viable for more natural types of cognitive tasks and in a wide group of subjects (e.g., from infants to elderly). Furthermore, near infrared spectroscopy and electroencephalography do not involve high intensity magnetic fields or ionizing radiation. And near infrared spectroscopy and electroencephalogram hardware costs are significantly lower than most other functional brain imaging methods. However, the prior art can only monitor the brain of the user by using the near infrared spectrum technology or the electroencephalogram technology alone, and can not monitor the activity condition of the same brain of the user by using the near infrared spectrum technology and the electroencephalogram technology at the same time. Therefore, the application provides a multi-mode brain function signal acquisition device and method, which solve the problem that the near infrared spectrum technology and the electroencephalogram technology in the prior art cannot monitor the same brain part at the same time.
One aspect of the present application provides a multi-modal brain function signal acquisition device, as shown in fig. 1, comprising:
a cap body.
The electroencephalogram acquisition device comprises a support piece and a plurality of acquisition antennae; the support piece is in a hollow cylinder shape, each acquisition antenna is arranged along the circumference of the first port of the support piece, and the first port is connected with the cap body; the acquisition antenna is contacted with the scalp of the user to acquire the brain electrical signals of the user.
The near infrared acquisition device comprises a light guide column, a near infrared light source and a photodiode; the light guide column is transparent hollow cylindrical, the diameter of the light guide column is smaller than that of the supporting piece, the light guide column is arranged on the inner periphery of the supporting piece, the near infrared light source and the photodiode are arranged on the second port of the light guide column, and the first port of the light guide column is fixed on the cap body; near infrared light emitted by the near infrared light source reaches the cerebral cortex of the user through the light guide column, after the oxygen-containing hemoglobin and the deoxidized hemoglobin of the cerebral cortex of the user absorb near infrared light with specific wavelength, the unabsorbed near infrared light reaches the photodiode through the light guide column after being scattered, the photodiode converts the unabsorbed near infrared light into current signals, and the change of the oxygen-containing hemoglobin and the deoxidized hemoglobin of the cerebral cortex of the user is obtained through analyzing the current signals, so that the movement condition of the cerebral of the user is obtained.
And the transimpedance amplifier is connected with the photodiode and converts the current signal into a voltage signal.
The first analog-digital converter is connected with the electroencephalogram acquisition device and converts an electroencephalogram signal into a digital signal, and the second analog converter is connected with the transimpedance amplifier and converts a voltage signal into a digital signal.
And the micro control unit is connected with the first analog-digital converter and the second analog-digital converter.
In this embodiment, the cap body is used for bearing the electroencephalogram acquisition device and the near infrared acquisition device and wearing the electroencephalogram acquisition device and the near infrared acquisition device on the head of a user, so that the electroencephalogram acquisition device and the near infrared acquisition device can acquire signals of the same brain part. The electroencephalogram acquisition device and the near infrared acquisition device are detachably arranged on the cap body, and the acquisition antenna is fixedly arranged on the supporting piece. Converting the current signal to a voltage signal facilitates transmission of the same signal to a plurality of meters connected in parallel. Wherein, the near infrared light source comprises 740nm red light and 850nm infrared light.
In some embodiments, the support and each acquisition antenna are made of silver chloride sintered material. The silver chloride sintered material has good conductivity, and can better collect bioelectric signals of the cerebral cortex of a user.
In some embodiments, each acquisition antenna is coated with a conductive gel. The conductive gel can quickly and effectively reduce skin impedance, and establish a stable bioelectric signal transmission channel, so that the acquisition antenna can more accurately acquire bioelectric signals of the cerebral cortex of a user, and the accuracy of the acquired signals is enhanced.
In some embodiments, the light guide posts are made of acrylic. The acrylic resin has low cost and good cracking resistance, and can ensure that the light guide column of the near infrared acquisition device is not easy to crack and damage.
In other embodiments, the light guide posts may also be fabricated from epoxy, glass, polycarbonate, or the like.
In some embodiments, the inner wall of the light guide column is coated with a reflective coating, and the reflective coating can reflect all near infrared light which is not absorbed by oxyhemoglobin and deoxyhemoglobin in the light guide column to the photodiode, so that the accuracy of the acquisition result of the near infrared acquisition device is improved.
Another aspect of the present application provides a brain function signal acquisition method, which includes steps S101 to S104:
s101: and acquiring an electroencephalogram signal acquired by the electroencephalogram acquisition device and a current signal acquired by the near infrared acquisition device.
S102: the electroencephalogram signals are sequentially subjected to high-pass filtering, low-pass filtering and signal amplitude amplification and then input into a first analog-digital converter, and the first analog-digital converter converts the electroencephalogram signals into first digital signals and then transmits the first digital signals to the micro-control unit and processes the first digital signals to obtain the electroencephalogram of the brain of the user.
S103: the current signal is input into a transimpedance amplifier to be converted into a voltage signal, the voltage signal is input into a second analog-digital converter after being subjected to low-pass filtering, the second analog-digital converter converts the filtered voltage signal into a second digital signal and then transmits the second digital signal to a micro-control unit, and the micro-control unit processes the second digital signal to obtain functional near infrared light data of the brain of a user.
S104: and analyzing the electroencephalogram and the functional near infrared light data to obtain the activity condition of the brain of the user.
In step S101, the brain signal acquisition device of the present application is worn on the head of a user, the acquisition antenna of the brain signal acquisition device contacts the scalp of the user, the brain signal of the user is acquired, the near infrared light source of the near infrared acquisition device reflects near infrared light to reach the cerebral cortex of the user through the light guide column, after the oxygen-containing hemoglobin and the deoxyhemoglobin of the cerebral cortex of the user absorb near infrared light with specific wavelengths, the unabsorbed near infrared light is scattered by tissues and reaches the photodiode through the light guide column, and the photodiode converts the unabsorbed near infrared light into a current signal.
In step S102, as shown in fig. 2, the electroencephalogram signal is input into an analog circuit, and is subjected to high-pass filtering, and the electroencephalogram signal with the frequency lower than 0.5HZ is filtered, so that the interference noise can be filtered by the high-pass filtering. And the high-pass filtering is performed on the high-pass filtered electroencephalogram signals, the electroencephalogram signals with the frequency higher than 200HZ are filtered, and the low-pass filtering is performed on the high-frequency signals such as the electromyogram signals, so that the accuracy of electroencephalogram signal analysis is improved. The power amplification of the electroencephalogram signal after low-pass filtration is beneficial to amplifying the collected weaker electroencephalogram signal, so that the obtained electroencephalogram is more accurate. As shown in fig. 3, the first analog-to-digital converter converts the electroencephalogram signal with the amplified signal amplitude into a first digital signal, wherein the model of the first analog-to-digital converter is AD7989-1BRMZ. The first analog-digital converter transmits a first digital signal to the micro-control unit through an SPI protocol to obtain the brain electrical data of the user, and the micro-control unit transmits the brain electrical data of the user to the data processing device through the Bluetooth module to obtain the brain electrical map of the brain of the user.
In step S103, as shown in fig. 4, the current signal collected by the near infrared collection device is converted into a voltage signal by the transimpedance amplifier, as shown in fig. 5, the voltage signal is input into a second-order low-pass circuit to perform low-pass filtering on the voltage signal, and the voltage signal with the frequency higher than 10HZ is filtered. As shown in fig. 6, the second analog-to-digital converter converts the low-pass filtered voltage signal into a second digital signal, wherein the model number of the second analog-to-digital converter is ADS1120. The second analog-digital converter transmits a second digital signal to the micro control unit through an SPI protocol to obtain user brain data, and the micro control unit transmits the user brain data to the data processing device through the Bluetooth module to obtain a functional near infrared spectrogram of the user brain through processing.
In some embodiments, after the first digital signal and the second digital signal are converted into the brain data of the user, the brain data of the user is transmitted to the upper computer through the Wifi module, the zigbee module and/or the bluetooth module, and the upper computer processes the brain data of the user and obtains an electroencephalogram and functional near infrared light data of the brain of the user. The wireless connection mode is used for transmission, so that the convenience of data transmission is improved.
In step S104, the electroencephalogram of the user and the functional near infrared light data are combined and analyzed to obtain the activity condition of the brain of the user, and the accuracy of monitoring the brain of the user is improved through the multi-mode monitoring technology.
In summary, the multi-mode brain function signal acquisition device and the multi-mode brain function signal acquisition method are characterized in that the near-infrared acquisition device and the electroencephalogram acquisition device are arranged on the same hat body, the electroencephalogram signals of the brain of the user are acquired through the electroencephalogram acquisition device, the near-infrared acquisition device acquires the current signals of the brain of the user and processes the current signals to obtain electroencephalogram and functional near-infrared light data of the user, the electroencephalogram and the functional near-infrared light data are analyzed to obtain the activity condition of the brain of the user at the same time, and the electroencephalogram and the functional near-infrared light data are combined and analyzed, so that the activity condition inside the brain of the user can be known more accurately.
Further, the near infrared acquisition device and the electroencephalogram acquisition device are arranged on the same cap body, so that the photoelectric signals of the same brain part can be acquired at the same time, and the detection and analysis of the same brain part can be more accurate.
Further, the reflective coating on the inner wall of the light guide column can reflect the unabsorbed near infrared light to the photodiode, so that the photodiode can convert the unabsorbed near infrared light into current signals, and the accuracy of the acquisition result of the near infrared acquisition device is ensured.
Correspondingly, the application also provides a device comprising a computer apparatus, the computer apparatus comprising a processor and a memory, the memory having stored therein computer instructions for executing the computer instructions stored in the memory, the device implementing the steps of the method as described above when the computer instructions are executed by the processor.
The embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the edge computing server deployment method described above. The computer readable storage medium may be a tangible storage medium such as Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, floppy disks, hard disk, a removable memory disk, a CD-ROM, or any other form of storage medium known in the art.
Those of ordinary skill in the art will appreciate that the various illustrative components, systems, and methods described in connection with the embodiments disclosed herein can be implemented as hardware, software, or a combination of both. The particular implementation is hardware or software dependent on the specific application of the solution and the design constraints. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave.
It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.
In this disclosure, features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, and various modifications and variations can be made to the embodiments of the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A multi-modal brain function signal acquisition device, comprising:
a cap body;
the electroencephalogram acquisition device comprises a support piece and a plurality of acquisition antennae; the support piece is in a hollow cylinder shape, each acquisition antenna is arranged along the circumference of a first port of the support piece, and the first port is connected with the cap body; the acquisition antenna is contacted with the scalp of the user to acquire the electroencephalogram signals of the user;
the near infrared acquisition device comprises a light guide column, a near infrared light source and a photodiode; the light guide column is transparent hollow cylindrical, the diameter of the light guide column is smaller than that of the supporting piece, the light guide column is arranged on the inner periphery of the supporting piece, the near infrared light source and the photodiode are arranged on the second port of the light guide column, and the first port of the light guide column is fixed on the cap body; the near infrared light emitted by the near infrared light source reaches the cerebral cortex of the user through the light guide column, after the oxygen-containing hemoglobin and the deoxidized hemoglobin of the cerebral cortex of the user absorb near infrared light with specific wavelength, the unabsorbed near infrared light reaches the photodiode through the light guide column after being scattered, the unabsorbed near infrared light is converted into a current signal by the photodiode, and the current signal is analyzed to obtain the oxygen-containing hemoglobin and the deoxidized hemoglobin change of the cerebral of the user, so as to obtain the movement condition of the brain of the user;
a transimpedance amplifier connected to the photodiode for converting the current signal into a voltage signal;
the first analog-digital converter is connected with the electroencephalogram acquisition device and used for converting the electroencephalogram signals into first digital signals, and the second analog converter is connected with the transimpedance amplifier and used for converting the voltage signals into second digital signals;
and the micro control unit is connected with the first analog-digital converter and the second analog-digital converter.
2. The multi-modal brain function signal acquisition device of claim 1, wherein the support and each acquisition antenna are made of silver chloride.
3. The multi-modal brain function signal acquisition device of claim 2 wherein each acquisition antenna is coated with a conductive gel.
4. The multi-modal brain function signal acquisition device of claim 1, wherein the light guide post is made of acrylic resin.
5. The multi-modal brain function signal collection device of claim 4, wherein the inner wall of the light guide post is coated with a reflective coating.
6. A brain function signal acquisition method employing the multi-modality brain function signal acquisition device according to any one of claims 1 to 5, characterized in that the method comprises:
acquiring an electroencephalogram signal acquired by an electroencephalogram acquisition device and a current signal acquired by a near infrared acquisition device;
the electroencephalogram signals are sequentially subjected to high-pass filtering, low-pass filtering and signal amplitude amplification and then input into a first analog-digital converter, the first analog-digital converter converts the electroencephalogram signals into first digital signals and then transmits the first digital signals to a micro-control unit, and the first digital signals are processed to obtain electroencephalograms of the brain of a user;
the current signal is input into a transimpedance amplifier to be converted into a voltage signal, the voltage signal is input into a second analog-digital converter after being subjected to low-pass filtering, the second analog-digital converter converts the filtered voltage signal into a second digital signal and then transmits the second digital signal to the micro control unit, and the second digital signal is processed to obtain functional near infrared light data of the brain of a user;
and analyzing the electroencephalogram and the functional near infrared light data to obtain the activity condition of the brain of the user.
7. The brain function signal acquisition method according to claim 6, wherein the analog-to-digital converter transmits the first digital signal and the second digital signal to the micro control unit through an SPI protocol, and processes the first digital signal and the second digital signal to obtain the electroencephalogram and the functional near infrared light data.
8. The brain function signal acquisition method according to claim 7, further comprising:
the micro control unit converts the first digital signal and the second digital signal into user brain data, and then transmits the user brain data to a data processing device through a Wifi module, a zigbee module and/or a Bluetooth module, and the data processing device converts the user brain data into electroencephalogram and functional near infrared light data.
9. The method for acquiring brain function signals according to claim 6, wherein the brain electrical signals are sequentially subjected to high-pass filtering, low-pass filtering and signal amplitude amplification and then input into an analog-to-digital converter,
the high pass filter filters out the electroencephalogram signals with the frequency lower than 0.5HZ, and the low pass filter filters out the electroencephalogram signals with the frequency higher than 200 HZ.
10. The method of claim 6, wherein the voltage signal is input to the analog-to-digital converter after low-pass filtering, wherein,
the low pass filter filters out voltage signals with frequencies above 10 HZ.
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| CN202211726776.2A CN116584888A (en) | 2022-12-30 | 2022-12-30 | Multi-mode brain function signal acquisition device and method |
| EP23208600.9A EP4393376A1 (en) | 2022-12-30 | 2023-11-08 | Multimodal brain function signal acquisition device and method |
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