Signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy

Abstract

The present invention relates to a signal acquisition system based on the combination of electroencephalogram and functional near-infrared spectroscopy. The system comprises: a host computer, which is used to send programs and circuit parameters to be upgraded to a main circuit system, and to update an electroencephalogram information original database and an electroencephalogram information feature library according to signals collected by a data acquisition module; a main circuit system, which is used to send programs and circuit parameters to be upgraded sent by the host computer to a functional near-infrared module, and to perform real-time online signal processing on the signals collected by the data acquisition module according to a customized algorithm; a data acquisition module, which is used to collect electroencephalogram information and auxiliary information; and a functional near-infrared module: which is used to transmit and receive near-infrared light signals, and to update its own programs and circuit parameters according to programs and circuit parameters to be upgraded sent by the host computer. The present application solves the problem that in the existing electroencephalogram technology combined with near-infrared spectroscopy technology, hardware solutions are generally customized, and have poor upgradeability and versatility.

Description

Technical Field

[0001] The invention relates to the field of near-infrared optics and biomedical intersection technology, and in particular to a signal acquisition system based on the combination of electroencephalogram and functional near-infrared spectroscopy. Background Art

[0002] The technologies used to obtain EEG information include electroencephalography (EEG), magnetoencephalography (MEG), functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT).

[0003] Functional near-infrared spectroscopy (fNIRS) technology can detect brain functional activities, provide hemodynamic information based on changes in hemoglobin concentration, and reflect the blood oxygen metabolism status of the cerebral cortex. It has the characteristics of high time resolution and easy use. The disadvantage of this technology is that the detection of blood oxygen signals lags behind neural activity by 5 to 8 seconds.

[0004] Electroencephalogram (EEG) technology uses the characteristics of brain activity neural potential to measure changes in brain electrical signals to obtain brain function information. It has the advantage of high temporal resolution, but low spatial resolution.

[0005] In the existing technologies, such as the helmet for jointly collecting brain signals by EEG and near-infrared spectroscopy disclosed in Patent No. CN 202161317 U, and the device for jointly collecting EEG and near-infrared spectroscopy signals disclosed in Patent No. CN 202161317 U, only provide the combined use of EEG technology and near-infrared spectroscopy technology to observe EEG activities. The existing technology does not solve the problem of how to improve the accuracy of collecting raw EEG data and how to fuse the two types of measurement information. In addition, the existing near-infrared spectroscopy related technology hardware solutions are generally customized, with poor upgradability and poor versatility. Summary of the invention

[0006] In view of this, the purpose of the present invention is to provide a signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy, so as to solve the problems in the prior art that, in the observation of EEG activity by combining EEG technology with near-infrared spectroscopy technology, the accuracy of original EEG data is not high, the hardware solutions are generally customized, and the upgradeability and versatility are poor.

[0007] To achieve the above objectives, this plan adopts the following technical means:

[0008] A signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy, the system comprising:

[0009] The host computer is used to send the program and circuit parameters to be upgraded to the main circuit system, and to update the EEG information original database and EEG information feature database according to the signals collected by the data acquisition module;

[0010] The main circuit system is used to send the program to be upgraded and the circuit parameters sent by the host computer to the functional near infrared module, and perform real-time online signal processing on the signal collected by the data acquisition module according to a customized algorithm;

[0011] Data acquisition module, used to collect EEG information and auxiliary information;

[0012] Functional near-infrared module: used to transmit and receive near-infrared light signals, and to update its own program and circuit parameters according to the program and circuit parameters to be upgraded sent by the host computer.

[0013] Furthermore, the functional near infrared module includes: a functional near infrared transmitting module and a functional near infrared receiving module;

[0014] The functional near-infrared emission module includes: an emission FPGA, a digital-to-analog converter, an emission FLASH, a power driving circuit, a power measuring circuit and a dual-wavelength near-infrared LED;

[0015] The transmitting FLASH is used to store the program of the transmitting FPGA and the circuit parameter information of the functional near-infrared transmitting module, and the program and circuit parameters of the transmitting FLASH are updated through the transmitting FPGA;

[0016] The transmitting FPGA is used to convert the modulated driving waveform into an analog form through the digital-to-analog converter;

[0017] The power driving circuit is used to amplify the power of the driving waveform in analog form;

[0018] The dual-wavelength near-infrared LED is used to emit a near-infrared light signal according to a driving waveform in an analog form after power amplification;

[0019] The power measurement circuit is used to measure the driving power of the dual-wavelength near-infrared LED.

[0020] Furthermore, the functional near-infrared receiving module includes: a photoelectric sensor, a demodulation chip, a variable parameter filter circuit, a variable amplification circuit, a receiving FPGA and a receiving FLASH;

[0021] The receiving FLASH is used to store the program of the receiving FPGA and the circuit parameter information of the functional near-infrared receiving module, and the program and circuit parameters of the receiving FLASH are updated through the receiving FPGA;

[0022] The photoelectric sensor is used to detect the near-infrared light signal of the functional near-infrared emission module passing through the brain tissue and convert it into an electrical signal;

[0023] The demodulation chip is used to demodulate the electrical signal;

[0024] The variable parameter filter circuit is used to filter the demodulated electrical signal;

[0025] The variable amplifier circuit is used to amplify the filtered electrical signal and then send it to the main circuit system.

[0026] Furthermore, the transmitting FLASH and the receiving FLASH both include: a default program storage area, an upgraded program storage area, a default circuit parameter storage area, an updated circuit parameter storage area, and a program update mark;

[0027] When the system does not upgrade the program and parameters online, the system uses the data in the default program storage area and the default circuit parameter storage area by default;

[0028] When the system upgrades the program and parameters online, the receiving FPGA and the transmitting FPGA update the upgraded program data and circuit parameter data to the upgraded program storage area and the updated circuit parameter storage area;

[0029] When the system is powered on again, it is determined whether the system is updated based on the program update mark. If the update mark is in the updated state, the data in the upgraded program storage area and the updated circuit parameter storage area are used; if the update mark is in the unupdated state, the data in the default program storage area and the default circuit parameter storage area are used.

[0030] Further, the main circuit system includes: a controller and an analog-to-digital converter, wherein the controller is connected to the analog-to-digital converter;

[0031] The host computer is connected to the controller, and the functional near infrared emission module is connected to the controller;

[0032] The functional near-infrared receiving module is connected to the analog-to-digital converter.

[0033] Furthermore, the data acquisition module includes: an EEG acquisition simulation circuit module and an auxiliary information acquisition module;

[0034] The EEG acquisition analog circuit module is connected to the analog-to-digital converter of the main circuit system to obtain EEG information.

[0035] Further, the auxiliary information acquisition module is used to collect auxiliary information, and the auxiliary information acquisition module is connected to the controller of the main circuit system;

[0036] The auxiliary information includes acceleration information and temperature information, and the acceleration information is used by the controller to evaluate changes in EEG signals under motion state;

[0037] The temperature information is used by the controller to perform temperature compensation on the circuit parameters of the functional near infrared module.

[0038] Furthermore, the host computer is also used to configure the sampling timing parameters and send them to the controller of the main circuit system, and the controller controls the data acquisition module and the functional near infrared module to perform sampling according to the timing parameters.

[0039] Furthermore, the main circuit system, the data acquisition module and the functional near-infrared module are powered by a power module.

[0040] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0041] This application sends the program and circuit parameters to be upgraded to the main circuit system through the host computer, so as to realize real-time update of the parameters and programs of the functional near-infrared module, and solve the problem that the existing near-infrared spectroscopy-related technical hardware solutions are generally customized, with poor upgradeability and poor versatility. Through the design of functional near-infrared modules and data acquisition modules, the purpose of combining EEG technology and near-infrared spectroscopy technology is achieved, and the changes in EEG signals under specific stimulation events are dynamically evaluated, and the characteristic changes of EEG signals are studied, so as to solve the problem that the existing EEG signal analysis is not real-time.

[0042] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0044] Figure 1 is a system diagram of a signal acquisition system based on the combination of EEG and functional near infrared spectroscopy according to an exemplary embodiment;

[0045] Figure 2 is a system schematic diagram of a functional near infrared emission module according to an exemplary embodiment;

[0046] Figure 3 is a system schematic diagram of a functional near infrared receiving module according to an exemplary embodiment;

[0047] Figure 4is a schematic diagram showing the composition of a dual-wavelength near-infrared light LED and a photoelectric sensor according to an exemplary embodiment;

[0048] Figure 5 is a schematic diagram of the layout of a dual-wavelength near-infrared light LED and a photoelectric sensor according to an exemplary embodiment;

[0049] Figure 6 is a schematic diagram of a system workflow of a signal acquisition system according to an exemplary embodiment;

[0050] Figure 7 is a schematic diagram of a photoelectric sensor and a demodulation chip circuit principle of a functional near-infrared receiving module according to an exemplary embodiment;

[0051] Figure 8 It is a schematic diagram of the principle of a variable parameter filter circuit and a variable amplification factor circuit of a functional near-infrared receiving module according to an exemplary embodiment;

[0052] Fig. 9 is a schematic diagram of the content framework of the FLASH storage area when the signal acquisition system is upgrading the program online according to an exemplary embodiment;

[0053] Fig.10 is a schematic diagram of the timing of EEG signal acquisition of a signal acquisition system according to an exemplary embodiment;

[0054] In the accompanying drawings, 1-host computer, 2-main circuit system, 3-data acquisition module, 4-functional near-infrared module, 201-controller, 202-analog-to-digital converter, 301-EEG acquisition analog circuit module, 302-auxiliary information acquisition module, 401-functional near-infrared transmitting module, 402-functional near-infrared receiving module, 4011-transmitting FPGA, 4012-digital-to-analog converter, 4013-transmitting FLASH, 4014-power driving circuit, 4015-power measurement circuit, 4016-dual-wavelength near-infrared LED, 4021-receiving FPGA, 4022-receiving FLASH, 4023-photoelectric sensor, 4024-demodulation chip, 4025-variable parameter filtering circuit, 4026-variable amplification circuit. DETAILED DESCRIPTION

[0055] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0056] In order to better understand this scheme, the background knowledge that needs to be understood is as follows: Relevant theoretical studies have shown that HHb and HbO in the blood 2 The concentration change Δ HHb The calculation formula is as follows:

[0057]

[0058]

[0059]

[0060] In the calculation formulas (1), (2), and (3), Indicates the change in oxygenated hemoglobin concentration in the blood, Δ HHb represents the change in the concentration of reduced hemoglobin in the blood, d represents the distance from the light source to the detector, ΔA λ1 Indicates wavelength as λ 1 The change in light intensity after the light wave passes through the tissue, ΔA λ2 Indicates wavelength as λ 2 The change in light intensity after a light wave passes through the tissue. DFP stands for differential path factor, which is used to describe the lengthening of the light propagation path caused by scattering. Indicates the HHb in blood to wavelength λ 2 The molar absorption coefficient, Indicates HbO in blood 2 For wavelength λ 1 The molar absorption coefficient, Indicates the HHb in blood to wavelength λ 1 The molar absorption coefficient, Indicates HbO in blood 2 For wavelength λ 2 The molar absorption coefficient, DFP, An empirical value can be taken, and d is a known quantity. Therefore, when the intensity of the incident light is constant, the change in light intensity after the two wavelengths of near-infrared light pass through the tissue can be measured by ΔA. λ1 and ΔA λ2 Calculate the changes in the concentration of oxygenated hemoglobin and reduced hemoglobin in the blood.

[0061] At the same time, theoretical studies have shown that the wavelength of light between 650nm and 900nm is suitable for detecting HHb and HbO in blood. 2The optimal wavelength of concentration, within this wavelength range, other substances in the blood absorb the least energy of the light signal; therefore, it is of great practical significance to study a versatile signal acquisition system that combines EEG and functional near-infrared spectroscopy with good generality and flexible software upgrade. The system uses the experimental results of many test subjects to continuously correct the existing HHb and HbO in the blood. 2 The inadequacy of the concentration change calculation model is improved by using near infrared spectroscopy to collect HHb and HbO in blood 2 The accuracy of concentration changes; using hardware acceleration technology to solve the problem of low real-time analysis of EEG signals can greatly promote the research of EEG signals and the application of brain-computer interface technology.

[0062] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other implementation methods obtained by ordinary technicians in the field without creative work belong to the scope of protection of the present application.

[0063] See also Figure 1 , Figure 1 This is a system diagram of a signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to an exemplary embodiment. The signal acquisition system is applied to the field of near-infrared optics and biomedical cross-technology. The signal acquisition system includes:

[0064] The host computer 1 is used to send the program and circuit parameters to be upgraded to the main circuit system, and to update the EEG information original database and the EEG information feature database according to the signals collected by the data acquisition module;

[0065] The main circuit system 2 is used to send the program to be upgraded and the circuit parameters sent by the host computer to the functional near infrared module, and perform real-time online signal processing on the signal collected by the data acquisition module according to a customized algorithm;

[0066] Data acquisition module 3, used to collect EEG information and auxiliary information;

[0067] Functional near infrared module 4: used for transmitting and receiving near infrared light signals, and updating its own program and circuit parameters according to the program and circuit parameters to be upgraded sent by the host computer;

[0068] Specifically, the host computer 1 is connected to the controller 201 of the main circuit system 2 through a standard bus (such as a serial port or an optical fiber, etc.); the functional near-infrared transmitting module 401 is connected to the controller 201 of the main circuit system 2 through an on-board bus (such as EMIF or SPI or I2C); the functional near-infrared receiving module 402 is connected to the analog-to-digital converter 202 of the main circuit system 2 through an on-board analog interface (such as an AD interface); the EEG acquisition analog circuit module 301 is connected to the analog-to-digital converter 202 of the main circuit system 2 through an on-board analog interface (such as an AD interface). 2; the controller 201 of the main circuit system 2 is also connected to the auxiliary information acquisition module 302 through an on-board bus (such as SPI or I2C, etc.); the controller 201 uses a multi-chip FPGA architecture, an architecture in which FPGA and DSP, FPGA and ARM and other processors are combined to enhance the real-time performance of the software processing algorithm; the host computer 1 sends the program and circuit parameters to be upgraded to the functional near-infrared transmitting module 401 and the functional near-infrared receiving module 402 through the bus and the controller 201 in the main circuit system 2, so as to flexibly change the function of the hardware.

[0069] Furthermore, the functional near infrared module 4 includes: a functional near infrared transmitting module 401 and a functional near infrared receiving module 402;

[0070] The functional near-infrared emission module 401 includes: an emission FPGA 4011, a digital-to-analog converter 4012, an emission FLASH 4013, a power driving circuit 4014, a power measurement circuit 4015 and a dual-wavelength near-infrared LED 4016;

[0071] The transmitting FLASH 4013 is used to store the program of the transmitting FPGA and the circuit parameter information of the functional near-infrared transmitting module 401, and the program and circuit parameters of the transmitting FLASH 4013 are updated by the transmitting FPGA 4011;

[0072] The transmitting FPGA 4011 is used to convert the modulated driving waveform into an analog form through the digital-to-analog converter 4012;

[0073] The power driving circuit 4014 is used to amplify the power of the analog driving waveform;

[0074] The dual-wavelength near-infrared LED 4016 is used to emit a near-infrared light signal according to a driving waveform in an analog form after power amplification;

[0075] The power measurement circuit 4015 is used to measure the driving power of the dual-wavelength near-infrared LED;

[0076] Specifically, as attached Figure 2As shown, the transmitting FLASH 4013 stores the program of the transmitting FPGA and the circuit parameter information of the functional near-infrared transmitting module (such as modulation mode, power magnification and communication form, etc.); the transmitting FPGA 4011 converts the modulated driving waveform into an analog form through a digital-to-analog converter 4012, and then drives the dual-wavelength near-infrared LED 4016 to emit a near-infrared light signal after power amplification through a power driving circuit 4014; the power measurement circuit 4015 is used to measure the driving power of the dual-wavelength near-infrared LED 4016. In the functional near-infrared transmitting module 401, the program and circuit parameters of the transmitting FLASH 4013 can be updated online by using the transmitting FPGA 4013, so that the functions realized by the circuit can be dynamically adjusted, thereby enhancing the flexibility of the circuit.

[0077] Furthermore, the functional near-infrared receiving module 402 includes: a photoelectric sensor 4023, a demodulation chip 4024, a variable parameter filter circuit 4025, a variable amplification circuit 4026, a receiving FPGA 4021 and a receiving FLASH 4022;

[0078] The receiving FLASH 4022 is used to store the program of the receiving FPGA 4021 and the circuit parameter information of the functional near-infrared receiving module 402, and the program and circuit parameters of the receiving FLASH 4022 are updated through the receiving FPGA 4021;

[0079] The photoelectric sensor 4023 is used to detect the near-infrared light signal of the functional near-infrared emission module 402 passing through the brain tissue and convert it into an electrical signal;

[0080] The demodulation chip 4024 is used to demodulate the electrical signal;

[0081] The variable parameter filter circuit 4025 is used to filter the demodulated electrical signal;

[0082] The variable amplifier circuit 4026 is used to amplify the filtered electrical signal and send it to the main circuit system 2;

[0083] Specifically, as attached Figure 3 As shown, the functional near-infrared receiving module 402 uses a photoelectric sensor 4023 to convert the modulated near-infrared light behind the brain tissue into an electrical signal, which is then sent to the analog-to-digital converter 202 in the main circuit system 2 after demodulation, filtering and amplification; the functional near-infrared receiving module 402 uses FPGA to configure the parameters of the demodulation, filtering and amplification circuit, thereby increasing hardware flexibility and scalability.

[0084] Specifically, as attached Figure 4As shown, the function of the transmitting dark box and the receiving dark box is to eliminate the interference of ambient light and improve the measurement accuracy. The transmitting dark box and the receiving dark box are made of light-isolating materials. The near-infrared light LED in the transmitting dark box irradiates the tissue through a lens and a filter. After the incident light is absorbed by the tissue, it is transmitted to the photoelectric sensor 4023 through the transmitted light. By detecting the intensity of the transmitted light, HHb and HbO in the blood can be obtained. 2 The concentration change.

[0085] Specifically, as attached Figure 5 As shown, the present application enhances the signal-to-noise ratio of the received signal by using four LEDs emitting dual-wavelength near-infrared light.

[0086] Specifically, as attached Figure 7 And attached Figure 8 As shown in the figure, in order to realize configurable amplification and filtering parameters, the resistors in the circuit can be replaced with digital potentiometers. By receiving FPGA to dynamically configure the digital potentiometer to different values, the circuit parameters can be changed. For example, Figure 7 Replacing the resistor R19 with a digital potentiometer can change the primary circuit gain; Figure 8 Replacing the resistors R21~R24 with digital potentiometers can change the characteristics of the filter circuit; Figure 8 By replacing the resistors R26 and R27 with digital potentiometers, the amplification factor of the final stage circuit can be changed.

[0087] Specifically, as attached Figure 6 As shown, the present application also provides a schematic diagram of the workflow of the signal acquisition system, which mainly includes three processes: online upgrade process, data acquisition process and data transmission process;

[0088] Online upgrade process:

[0089] It mainly upgrades the controller (such as ARM, DSP, etc.) or FPGA program in the functional near-infrared emission module 401, the main circuit system 2, and the functional near-infrared receiving module 402 in the system, flexibly changing the functions implemented by the functional near-infrared emission module 401, the main circuit system 2, and the functional near-infrared receiving module 402 in the system, and enhancing the flexibility of the system. During online upgrading, the system upgrades the program according to the upgrade identifier. If the upgrade identifier is 1, update the functional near-infrared emission module 401; if the upgrade identifier is 2, update the controller program in the main circuit system 2; if the upgrade identifier is 3, update the program of the functional near-infrared receiving module 402. After the system upgrade is completed, the system will automatically update to the latest status when it is powered on again;

[0090] Data collection process:

[0091] First, determine whether the system parameters (such as amplifier gain, filter bandwidth, sampling frequency, etc.) need to be updated. If they need to be updated, the host computer 1 sends the parameters to the main circuit system 2, the functional near-infrared transmitting module 401 and the functional near-infrared receiving module 402, etc., and the system uses the latest parameters, otherwise the system uses the default parameters for collection; then, the functional near-infrared transmitting module 401 emits near-infrared light to irradiate the brain tissue, and the near-infrared light signal after passing through the brain tissue is detected by the photoelectric sensor 4023 in the functional near-infrared receiving module 402 and converted into an electrical signal, and then sent to the analog-to-digital signal of the main circuit system 2 after demodulation, filtering and amplification. converter 202; secondly, the data acquisition module 3 is started synchronously while the near-infrared light signal is being collected; finally, the controller 201 of the main circuit system 2 (adopting a hardware architecture in the form of a combination of processors such as a multi-chip FPGA architecture, FPGA and DSP, FPGA and ARM) performs real-time online signal processing on the collected near-infrared information, EEG information, acceleration information and temperature information. The signal processing algorithm can be customized in real time according to research needs (such as FFT, principal component analysis, independent component analysis, wavelet transform method, autoregressive AR model method), and both hardware and software can be modified online, which enhances the real-time, flexibility and versatility of the system;

[0092] Data transfer process:

[0093] The collected original near-infrared information and EEG information are packaged and transmitted to the host computer 1 through the serial port or optical interface. The host computer 1 will update the original EEG information database. At the same time, discrete feature analysis of EEG information and blood oxygen signals can also be performed on the host computer 1, and the collected original data can be visualized. The EEG information is objectively evaluated in combination with the age, height, weight, and health status of the collected object to provide a big data basis for future medical decision-making. At the same time, the EEG database is updated to the EEG information feature library to provide original materials for future big data analysis of EEG signal features.

[0094] Furthermore, the transmitting FLASH 4013 and the receiving FLASH 4022 both include: a default program storage area, an upgraded program storage area, a default circuit parameter storage area, an updated circuit parameter storage area, and a program update mark;

[0095] When the system does not upgrade the program and parameters online, the system uses the data in the default program storage area and the default circuit parameter storage area by default;

[0096] When the system upgrades the program and parameters online, the receiving FPGA and the transmitting FPGA update the upgraded program data and circuit parameter data to the upgraded program storage area and the updated circuit parameter storage area;

[0097] When the system is powered on again, it is determined whether the system is updated according to the program update mark. If the update mark indicates an updated state, the data in the upgraded program storage area and the updated circuit parameter storage area are used; if the update mark indicates an unupdated state, the data in the default program storage area and the default circuit parameter storage area are used;

[0098] Specifically, as attached Fig. 9 As shown, during online upgrade, the system upgrades the program according to the upgrade mark. If the upgrade mark is 1, the functional near-infrared emission module 401 is updated; if the upgrade mark is 2, the program of the controller 201 in the main circuit system 2 is updated; if the upgrade mark is 3, the program of the functional near-infrared receiving module 402 is updated. After the system upgrade is completed, the system will be automatically updated to the latest state when it is powered on again;

[0099] When the system does not upgrade the program and parameters online, the system uses the data in the default program storage area and the default circuit parameter storage area by default; when the system upgrades the program and parameters online, the receiving FPGA4021 and the transmitting FPGA4011 can update the upgraded program data and circuit parameter data to the upgraded program storage area and the updated circuit parameter storage area. When the system is powered on again, the program update mark of the FLASH storage area will be judged. If the update mark is in the updated state, the updated program and parameters will be used; if the update mark is in the not updated state, the default program and parameter data will be used.

[0100] Furthermore, the main circuit system 2 includes: a controller 201 and an analog-to-digital converter 202, wherein the controller 201 is connected to the analog-to-digital converter 202;

[0101] The host computer 1 is connected to the controller 201, and the functional near infrared emission module 401 is connected to the controller 201;

[0102] The functional near infrared receiving module 402 is connected to the analog-to-digital converter 202;

[0103] Specifically, the main circuit system 2 further includes a Bluetooth module, and the Bluetooth module is used for communication with other devices.

[0104] Furthermore, the data acquisition module 3 includes: an EEG acquisition simulation circuit module 301 and an auxiliary information acquisition module 302;

[0105] The EEG acquisition analog circuit module 301 is connected to the analog-to-digital converter 202 of the main circuit system 2 to acquire EEG information;

[0106] Specifically, the EEG acquisition simulation circuit module 301 is connected to the analog-to-digital converter 202 of the main circuit system 2 via an on-board analog interface (such as an AD interface); the controller 201 of the main circuit system 2 is also connected to the auxiliary information acquisition module 302 via an on-board bus (such as SPI or I2C, etc.).

[0107] Furthermore, the auxiliary information acquisition module 302 is used to acquire auxiliary information, and the auxiliary information acquisition module is connected to the controller of the main circuit system;

[0108] The auxiliary information includes acceleration information and temperature information, and the acceleration information is used by the controller 201 to evaluate changes in EEG signals under motion state;

[0109] The temperature information is used by the controller 201 to perform temperature compensation on the circuit parameters of the functional near infrared module 4;

[0110] Furthermore, the host computer 1 is also used to configure the sampling timing parameters and send them to the controller 201 of the main circuit system 2, and the controller 201 controls the data acquisition module 3 and the functional near infrared module 4 to perform sampling according to the timing parameters;

[0111] Specifically, as attached Fig.10 As shown, the host computer 1 first configures the sampling timing parameters. After the system receives the timing parameters, it performs sampling according to the corresponding timing parameters. During the acquisition, the EEG signal acquisition electrodes and the near-infrared photodetector are arranged crosswise to increase the spatial resolution of the signal. Fig.10 In the embodiment, the synchronization pulse is controlled by the main circuit system 201. After the synchronization pulse is sent, each circuit starts to collect functional near-infrared light information, EEG information, acceleration information and temperature information synchronously.

[0112] Functional near-infrared light collection is divided into three cycles: background light cycle 1 to 8, wavelength 1 cycle 9 to 16, and wavelength 2 cycle 17 to 24; the functional near-infrared emission module 401 is turned off for background light cycles 1 to 8, the functional near-infrared emission module for wavelength 1 cycle emits a light signal of wavelength 1, and the functional near-infrared emission module 401 for wavelength 2 cycle emits a light signal of wavelength 2. The EEG signal collection can collect EEG signals of EEG channels 1 to 6, and the number of channels collected can be configured by the host computer 1; the acceleration and temperature information are sampled once in a synchronization cycle.

[0113] Furthermore, the main circuit system 2, the data acquisition module 3 and the functional near infrared module 4 are powered by a power module;

[0114] Specifically, the power supply module provides power supply for the main circuit system 2, the auxiliary information acquisition module 302, the functional near-infrared transmitting module 401, the functional near-infrared receiving module 402 and the EEG acquisition analog circuit module 301, including analog domain power supply and digital domain power supply, thereby improving the measurement accuracy.

[0115] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0116] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0117] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0118] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0119] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0120] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0121] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0122] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0123] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy, characterized in that: The system comprises: The host computer is used to send the program and circuit parameters to be upgraded to the main circuit system, and to update the EEG information original database and EEG information feature database according to the signals collected by the data acquisition module; The main circuit system is used to send the program to be upgraded and the circuit parameters sent by the host computer to the functional near infrared module, and perform real-time online signal processing on the signal collected by the data acquisition module according to a customized algorithm; Data acquisition module, used to collect EEG information and auxiliary information; Functional near infrared module: used to transmit and receive near infrared light signals, and update its own program and circuit parameters according to the program and circuit parameters to be upgraded sent by the host computer; The functional near infrared module includes: a functional near infrared transmitting module and a functional near infrared receiving module; The functional near-infrared emission module includes: an emission FPGA, a digital-to-analog converter, an emission FLASH, a power driving circuit, a power measuring circuit and a dual-wavelength near-infrared LED; The transmitting FLASH is used to store the program of the transmitting FPGA and the circuit parameter information of the functional near-infrared transmitting module, and the program and circuit parameters of the transmitting FLASH are updated through the transmitting FPGA; The transmitting FPGA is used to convert the modulated driving waveform into an analog form through the digital-to-analog converter; The power driving circuit is used to amplify the power of the driving waveform in analog form; The dual-wavelength near-infrared LED is used to emit a near-infrared light signal according to a driving waveform in an analog form after power amplification; The power measurement circuit is used to measure the driving power of the dual-wavelength near-infrared LED.

2. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to claim 1 is characterized in that: The functional near-infrared receiving module includes: a photoelectric sensor, a demodulation chip, a variable parameter filter circuit, a variable amplification circuit, a receiving FPGA and a receiving FLASH; The receiving FLASH is used to store the program of the receiving FPGA and the circuit parameter information of the functional near-infrared receiving module, and the program and circuit parameters of the receiving FLASH are updated through the receiving FPGA; The photoelectric sensor is used to detect the near-infrared light signal of the functional near-infrared emission module passing through the brain tissue and convert it into an electrical signal; The demodulation chip is used to demodulate the electrical signal; The variable parameter filter circuit is used to filter the demodulated electrical signal; The variable amplifier circuit is used to amplify the filtered electrical signal and then send it to the main circuit system.

3. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to claim 2 is characterized in that: The transmitting FLASH and the receiving FLASH both include: a default program storage area, an upgraded program storage area, a default circuit parameter storage area, an updated circuit parameter storage area and a program update mark; When the system does not upgrade the program and parameters online, the system uses the data in the default program storage area and the default circuit parameter storage area by default; When the system upgrades the program and parameters online, the receiving FPGA and the transmitting FPGA update the upgraded program data and circuit parameter data to the upgraded program storage area and the updated circuit parameter storage area; When the system is powered on again, it is determined whether the system is updated based on the program update mark. If the update mark is in the updated state, the data in the upgraded program storage area and the updated circuit parameter storage area are used; if the update mark is in the unupdated state, the data in the default program storage area and the default circuit parameter storage area are used.

4. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to any one of claims 1 or 2, characterized in that: The main circuit system comprises: a controller and an analog-to-digital converter, wherein the controller is connected to the analog-to-digital converter; The host computer is connected to the controller, and the functional near infrared emission module is connected to the controller; The functional near-infrared receiving module is connected to the analog-to-digital converter.

5. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to claim 3 is characterized in that: The data acquisition module includes: an EEG acquisition simulation circuit module and an auxiliary information acquisition module; The EEG acquisition analog circuit module is connected to the analog-to-digital converter of the main circuit system to obtain EEG information.

6. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to claim 5 is characterized in that: The auxiliary information acquisition module is used to acquire auxiliary information, and the auxiliary information acquisition module is connected to the controller of the main circuit system; The auxiliary information includes acceleration information and temperature information, and the acceleration information is used by the controller to evaluate changes in EEG signals under motion state; The temperature information is used by the controller to perform temperature compensation on the circuit parameters of the functional near infrared module.

7. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to claim 1 is characterized in that: The host computer is also used to configure the sampling timing parameters and send them to the controller of the main circuit system. The controller controls the data acquisition module and the functional near infrared module to perform sampling according to the timing parameters.

8. The signal acquisition system based on the combination of EEG and functional near-infrared spectroscopy according to claim 1 is characterized in that: The main circuit system, the data acquisition module and the functional near-infrared module are powered by a power module.

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