Frequency-domain near-infrared spectrum measurement module and method and frequency-domain near-infrared spectrum equipment

Abstract

The invention relates to the technical field of brain imaging, in particular to a frequency-domain near-infrared spectrum measurement module and method and frequency-domain near-infrared spectroscopy equipment, comprising a detection unit and a processing unit, the detection unit is used for directly contacting with the head of a user, emitting detection light to a detected tissue and receiving a detection signal formed by reflection of the detected tissue, and the processing unit is used for processing the detection signal; amplitude data and phase data of the detection signal are extracted, and the amplitude data and the phase data are sent to the processing unit after analog-to-digital conversion; and the processing unit is used for calculating optical parameters of the detected tissue based on the converted amplitude data and phase data, and wirelessly transmitting the optical parameters to the target main control unit. Amplitude and phase detection functions are completed by the front-end measurement module in advance, the use of a high-speed ADC and a mixer is avoided, the system complexity is reduced, signal transmission between the measurement module and the main control unit depends on wireless communication, excessive cable connection is not needed, and the brain activity monitoring system is suitable for brain activity monitoring requirements in a dynamic scene.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of brain imaging technology, and in particular to a frequency domain near-infrared spectroscopy measurement module, method and frequency domain near-infrared spectroscopy device. Background Art

[0002] In the field of brain imaging technology, functional near-infrared spectroscopy (fNIRS) is a technology that detects brain activity status through near-infrared light. Its working principle is based on detecting the characteristic changes of light emitted by the light source and light reflected or transmitted by the tissue to infer the concentration distribution of oxygenated hemoglobin (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb). A more detailed analysis of the light signal can provide richer optical parameter data, thereby achieving more accurate brain activity status detection.

[0003] According to the different measurement methods, fNIRS can be divided into three modalities:

[0004] Continuous wave (CW) devices: measure only changes in light intensity and can detect relative changes in blood oxygen concentration, but cannot provide absolute values;

[0005] Frequency domain (FD) devices: By measuring the amplitude attenuation and phase shift of modulated light, the optical absorption and scattering coefficients of tissues can be obtained, and the absolute value of blood oxygen concentration can be measured; (can provide absolute values, but not wearable)

[0006] Time Domain (TD) Devices: Further improve the accuracy of optical parameter measurements by detecting the time distribution of photon arrival.

[0007] CW-fNIRS has shown significant advantages in application scenarios such as sports rehabilitation due to its low cost and adaptability to wearable devices. However, the limitation of CW-fNIRS is that it can only provide relative changes in blood oxygen concentration, which limits its application in scenarios that require high-precision data. In contrast, FD and TD devices can provide absolute parameter values ​​with higher accuracy, and are therefore considered an important direction for the development of fNIRS.

[0008] However, most existing FD-fNIRS (frequency domain near-infrared spectroscopy) systems are built on desktop devices, and core functional modules (such as signal modulation units and signal analysis units) require external large desktop devices to complete. Although some designs attempt to make the light source and detection modules partially wearable, the overall system still cannot get rid of the dependence on desktop devices. For example, the modulated light source signal is usually provided by a signal generator, and signal processing requires network analyzers or computers and other devices. This design results in a bulky device, which restricts the user's activities in dynamic scenes and cannot meet the needs of actual applications. Summary of the invention

[0009] The object of the present invention is to at least provide a frequency domain near-infrared spectroscopy measurement module, method and frequency domain near-infrared spectroscopy device, which can at least solve the technical problems that the FD-fNIRS device is bulky and the user's activities are restricted in dynamic scenes, and at least make the FD-fNIRS device miniaturized, low-power and highly integrated, and improve the situation where the user's activities are restricted in dynamic scenes.

[0010] To solve the above technical problems, at least one embodiment of the present application provides a frequency domain near infrared spectrum measurement module, including: a detection unit and a processing unit,

[0011] The detection unit is used to directly contact the user's head, emit detection light to the measured tissue of the user's head, receive the detection signal formed after the detection light is reflected by the measured tissue, extract the amplitude data and phase data of the detection signal, and send the amplitude data and phase data to the processing unit after analog-to-digital conversion;

[0012] The processing unit is used to calculate the optical parameters of the measured tissue based on the amplitude data and phase data converted into digital signals, and send the optical parameters to the target main control unit by wireless transmission.

[0013] In some optional embodiments, the detection unit includes an optical signal modulation circuit, an optical signal detection circuit, an electrical signal detection circuit and an analog-to-digital conversion circuit:

[0014] The optical signal modulation circuit is used to generate a modulation signal, the modulation signal is used to drive the light source to generate the detection light, and is input into the electrical signal detection circuit as a reference signal;

[0015] The optical signal detection circuit is used to receive the detection signal and send the detection signal to the electrical signal detection circuit;

[0016] The electrical signal detection circuit is used to extract the phase data and the amplitude data of the detection signal based on the reference signal, and send the amplitude data and the phase data to the analog-to-digital conversion circuit;

[0017] The analog-to-digital conversion circuit is used to convert the phase data and the amplitude data into digital signals and send them to the processing unit.

[0018] In some optional embodiments, the optical signal modulation circuit includes a modulation signal generation subcircuit, a signal averaging subcircuit and a light source driving subcircuit:

[0019] The modulation signal generating subcircuit is used to generate the modulation signal;

[0020] The signal averaging subcircuit is used to divide the modulated signal into a first modulated sub-signal and a second modulated sub-signal, and input the first modulated sub-signal to the light source driving subcircuit, and input the second modulated sub-signal as the reference signal to the electrical signal detection circuit;

[0021] The light source driving sub-circuit is used to drive a plurality of light source components according to the first modulation sub-signal to generate the detection light.

[0022] In some optional embodiments, the electrical signal detection circuit includes a power comparison subcircuit and a phase detection subcircuit:

[0023] The power comparison subcircuit is used to extract the amplitude data of the detection signal;

[0024] The phase detection subcircuit is used to receive the second modulated sub-signal, perform phase difference detection on the second modulated sub-signal and the detection signal, and obtain the phase data.

[0025] In some optional embodiments, the optical signal modulation circuit further includes:

[0026] A modulation signal amplification subcircuit, used for amplifying the modulation signal and inputting the amplified modulation signal into the signal averaging subcircuit;

[0027] The signal averaging subcircuit is used to divide the amplified modulated signal into the first modulated sub-signal and the second modulated sub-signal, and input the first modulated sub-signal to the light source driving subcircuit, and input the second modulated sub-signal as the reference signal to the electrical signal detection circuit.

[0028] In some optional embodiments, the optical signal detection circuit includes an optical signal receiving subcircuit, an optical signal conversion subcircuit and a filtering subcircuit:

[0029] The optical signal receiving subcircuit is used to receive the optical signal after the detection light is reflected by the measured tissue, and input the optical signal to the optical signal conversion subcircuit;

[0030] The optical signal conversion subcircuit is used to convert the optical signal into an electrical signal, and input the electrical signal into the filtering subcircuit;

[0031] The filtering subcircuit is used to filter the electrical signal to obtain the detection signal.

[0032] In some optional embodiments, the processing unit is further used to adjust the detection parameters of the detection unit according to the control instructions sent back by the target main control unit, wherein the detection parameters include at least one of a sampling rate and a light source wavelength.

[0033] In some optional embodiments, it also includes:

[0034] A power management unit is used to supply power to the detection unit and the processing unit.

[0035] In some optional embodiments, the detection unit, the processing unit and the power management unit are respectively arranged on different circuit boards.

[0036] In some optional embodiments, the power management unit, the processing unit and the detection unit are arranged layer by layer.

[0037] At least one embodiment of the present application further provides a frequency domain near-infrared spectroscopy device, comprising the above-mentioned frequency domain near-infrared spectroscopy measurement module.

[0038] At least one embodiment of the present application further provides a frequency domain near infrared spectroscopy measurement method, which is applied to the above-mentioned frequency domain near infrared spectroscopy measurement module, comprising:

[0039] Transmitting detection light to the measured tissue, and receiving a detection signal formed after the detection light is reflected by the measured tissue;

[0040] Extracting amplitude data and phase data of the detection signal, and performing analog-to-digital conversion on the amplitude data and phase data;

[0041] Based on the amplitude data and phase data converted into digital signals, optical parameters of the measured tissue are calculated;

[0042] The optical parameters are sent to the target main control unit by wireless transmission.

[0043] The frequency domain near infrared spectroscopy measurement module, method and frequency domain near infrared spectroscopy device provided in the embodiment of the present application transmits detection light to the measured tissue of the user's head through the detection unit, receives the detection signal formed by the reflection of the detection light through the measured tissue, and extracts the amplitude data and phase data of the detection signal, thereby completing the preliminary processing of the analog data. After that, the detection unit sends the amplitude data and phase data obtained by the preliminary processing to the processing unit after analog-to-digital conversion. The processing unit pre-processes the amplitude data and phase data to obtain the optical parameters of the measured tissue. This series of processing processes are all set in the front-end measurement module for processing, which is different from the prior art, and a large number of analog signals obtained by the front-end measurement need to be sent to desktop network analyzers or computers and other devices. Therefore, the frequency domain near infrared spectroscopy measurement module of the present application is different from the traditional FD-fNIRS device, which needs to introduce a high-speed ADC to transfer the signal to the FPGA for digital processing, and does not rely on digital systems such as FPGA for calculation. The phase and amplitude information are directly extracted at the acquisition front end, and after the ADC collects its DC output value, the processing unit completes the preliminary pre-processing and sends the result to the main control unit. This system architecture brings at least the following benefits:

[0044] 1. Improve system portability and ease of operation

[0045] The signal transmission between the acquisition front end (frequency domain measurement module) and the main control unit is through wireless communication (such as Bluetooth or WiFi), without too many cables. Wireless connection not only reduces the volume and weight burden caused by wires, but also greatly improves the portability and operational flexibility of the system, which is suitable for brain activity monitoring needs in dynamic scenarios.

[0046] 2. Reduce data transmission bandwidth requirements and optimize communication efficiency

[0047] The communication between the acquisition front end (frequency domain measurement module) and the system master can be achieved through low-bandwidth wireless transmission, avoiding the complex device connection problems in the process of high-bandwidth signal transmission. In addition, this improvement reduces system cost, volume and weight, while supporting the integration of more acquisition channels.

[0048] 3. Reduce the dependence on the mixer and simplify the design of the acquisition front end (frequency domain measurement module)

[0049] By enabling the detection unit to directly extract the amplitude data and phase data of the detection signal, the need for using a mixer to downconvert the signal is reduced, thereby eliminating the need for additional precise frequency signal sources and mixing devices. This improvement not only simplifies the hardware design of the acquisition front end, but also reduces the problem of high-frequency signal interference, while improving the stability and reliability of the system, making multi-channel integration more convenient.

[0050] 4. Realize on-board integration of signal generation and detection functions

[0051] This application integrates the generation of detection light, optical signal detection, and optoelectronic signal receiving and distribution circuits into a modular acquisition front end, and completes the generation and detection of optical signals through the cooperation of onboard phase and amplitude detectors. This design reduces the dependence on external desktop equipment (such as signal generators and network analyzers) and realizes modular integration of signal generation and detection. This greatly improves the overall integration of the system and lays the foundation for the practical application of wearable FD-fNIRS equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0053] Figure 1 This is a schematic diagram of a frequency domain near infrared spectroscopy measurement module provided by an embodiment of the present application. Figure 1 ;

[0054] Figure 2 is a schematic diagram of the internal structure of a detection unit in a frequency domain near-infrared spectroscopy measurement module provided by another embodiment of the present application;

[0055] Figure 3 is a schematic diagram of interaction between a processing unit and a target main control unit in a frequency domain near infrared spectroscopy measurement module provided by another embodiment of the present application;

[0056] Figure 4 This is a schematic diagram of a frequency domain near infrared spectroscopy measurement module provided by another embodiment of the present application. Figure 2 ;

[0057] Figure 5 This is a schematic diagram of a frequency domain near infrared spectroscopy measurement module provided by another embodiment of the present application. Figure 3 ;

[0058] Figure 6 is a schematic diagram of a process of collecting and processing optical signals of a frequency domain near-infrared spectroscopy device provided by another embodiment of the present application;

[0059] Figure 7 This is a flow chart of a method for measuring frequency domain near-infrared spectroscopy provided by another embodiment of the present application. DETAILED DESCRIPTION

[0060] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0061] In order to facilitate understanding of the embodiments of the present application, relevant contents about the FD-fNIRS device are first introduced here.

[0062] An FD-fNIRS device usually consists of the following units:

[0063] Signal generating unit: generates modulated light source;

[0064] Light source modulation unit: modulates the light source to generate high-frequency modulated light;

[0065] Light detection unit: detects reflected or transmitted light signals;

[0066] Signal analysis unit: processes and analyzes the amplitude and phase information of the optical signal.

[0067] The FD-fNIRS system in the prior art has the following technical disadvantages:

[0068] 1) The system relies on desktop equipment and lacks true wearability

[0069] Most existing FD-fNIRS systems are built on desktop devices, and core functional modules (such as signal modulation units and signal analysis units) need to be connected to large desktop devices. Although some designs attempt to make the light source and detection modules partially wearable, the overall system still cannot get rid of the dependence on desktop devices. For example, the modulated light source signal is usually provided by a signal generator, and signal processing requires devices such as network analyzers or computers. This design results in a large device, which restricts the user's activities in dynamic scenes and cannot meet the needs of actual applications.

[0070] 2) Performance bottleneck caused by high-speed signal acquisition and processing complexity

[0071] The core of the FD-fNIRS system lies in the acquisition and processing of the amplitude and phase information of high-frequency optical signals. Existing technologies usually use the following three methods, but each has its own limitations:

[0072] 2.1. High-speed ADC directly acquires signals: It requires extremely high sampling rate (such as 200MSPS and above) and high-speed data transmission, which leads to complex hardware design, high power consumption and difficulty in multi-channel expansion.

[0073] 2.2. Mixer down-converts the acquisition signal: Additional frequency sources and mixing components are added, which complicates the design. At the same time, the interference between multi-channel signals is difficult to control, affecting the stability of the system.

[0074] 2.3. Dedicated phase / amplitude measurement chip: Although it can reduce the design complexity, the existing chips are not yet mature, lack market verification, are not reliable enough, and are relatively expensive.

[0075] 3) The overall system is not small enough and integrated enough

[0076] The current design of FD-fNIRS systems focuses on the miniaturization of specific modules (such as light source and detection modules), but the integrated improvement at the system level is still insufficient. In addition, most of these devices lack comprehensive testing in actual scenarios, and their performance and stability in complex application environments have not been fully verified, which limits their clinical and commercial promotion.

[0077] 4) High cost

[0078] Existing FD-fNIRS systems usually use high-cost components such as high-speed ADCs and network analyzers, and rely on complex desktop equipment, resulting in high overall R&D and production costs. This high cost limits the large-scale application of the equipment in the medical and research fields.

[0079] In order to solve the technical problems such as the bulky size of the above-mentioned FD-fNIRS device and the limited activities of users in dynamic scenes, the present invention proposes a frequency domain near-infrared spectroscopy measurement module. The implementation details of the frequency domain near-infrared spectroscopy measurement module of this embodiment are specifically described below. The following content is only the implementation details provided for the convenience of understanding and is not necessary for the implementation of this solution.

[0080] Embodiment 1:

[0081] like Figure 1 As shown, the frequency domain near infrared spectrum measurement module of this embodiment includes: a detection unit 110 and a processing unit 120,

[0082] The detection unit 110 is used to directly contact the user's head, emit detection light to the measured tissue of the user's head, receive the detection signal formed after the detection light is reflected by the measured tissue, extract the amplitude data and phase data of the detection signal, and send the amplitude data and phase data to the processing unit 120 after analog-to-digital conversion;

[0083] The processing unit 120 is used to calculate the optical parameters of the measured tissue based on the amplitude data and phase data converted into digital signals, and send the optical parameters to the target main control unit 130 via wireless transmission.

[0084] In this embodiment, the detection unit 110 integrates functions such as light source emission, light signal reception, signal processing, and analog-to-digital conversion (ADC). Specifically, in the realization of the light source emission function, the light source of the detection light can be a near-infrared LED or a laser diode. In the realization of the light signal reception function, the detection light emitted by the light source is guided to the user's head through an optical fiber, and the reflected light signal is received at the same time. For example, the received weak light signal can be converted into an electrical signal, i.e., a detection signal, by a silicon photodiode or an avalanche photodiode (APD). In the realization of the signal processing function, a preliminary signal conditioning circuit, such as an amplifier and a filter, can be integrated inside the detection unit to enhance the signal strength and reduce noise interference. For frequency domain measurement, the detection unit 110 is also integrated with a phase detector and an amplitude detector or a similar circuit to extract the amplitude data and phase data of the detection signal. In order to convert the continuously changing detection signal (i.e., an analog signal) into a digital signal for the subsequent digital signal processing of the processing unit 120, an analog-to-digital converter (ADC) is integrated inside the detection unit 110.

[0085] The processing unit 120 receives digital signals from the detection unit 110, which include amplitude data and phase data of the detection light. The specific process of data reception can be performed through a serial communication interface (such as UART, SPI, I2C, etc.). Before calculating the optical parameters, the processing unit 120 preprocesses the received digital signals to eliminate noise, correct errors, or enhance the signal. The preprocessing steps may include filtering, removing DC offset, normalization, etc.

[0086] The processing unit 120 uses a preset optical model and algorithm to calculate the optical parameters of the measured tissue according to the received amplitude data and phase data. The optical parameters may include light absorption coefficient, light scattering coefficient, optical path length, etc. Afterwards, the processing unit 120 sends the calculated optical parameters to the target main control unit 130 via a wireless transmission method (such as Bluetooth, Wi-Fi, Zigbee, etc.).

[0087] The target main control unit 130 is a device responsible for receiving, processing and further analyzing or storing the optical parameters sent by the processing unit 120. The specific form and carrier of the target main control unit 130 may vary according to different application scenarios. For example, it may be a portable medical detection device, such as a handheld or wearable device, a smart phone, a tablet computer, a dedicated medical monitor, or a computer workstation fixed in a medical clinic or research institution, or a data center server located in the cloud. The target main control unit 130 has data processing capabilities and can convert optical parameters into more understandable medical indicators (such as blood oxygen saturation, tissue oxygen content, etc.), and display them on the screen in the form of reports or charts for medical staff or users to view.

[0088] Wireless transmission provides flexibility and convenience, allowing the measurement system to be free from the constraints of wired connections, thereby improving the inconvenience of limited user activities in dynamic scenes in the prior art, making the measurement system easy to carry and suitable for use in medical sites, homes or outdoor environments.

[0089] In summary, the frequency domain near infrared spectroscopy measurement module, method and frequency domain near infrared spectroscopy device provided in this embodiment transmits detection light to the measured tissue of the user's head through the detection unit, receives the detection signal formed by the detection light reflected by the measured tissue, and extracts the amplitude data and phase data of the detection signal, thereby completing the preliminary processing of the analog data. After that, the detection unit sends the amplitude data and phase data obtained by the preliminary processing to the processing unit after analog-to-digital conversion. The processing unit pre-processes the amplitude data and phase data to obtain the optical parameters of the measured tissue. This series of processing processes are all set in the front-end measurement module for processing, which is different from the prior art, and a large number of analog signals obtained by the front-end measurement need to be sent to desktop network analyzers or computers and other devices. Therefore, the frequency domain near infrared spectroscopy measurement module of the present application is different from the traditional FD-fNIRS device, which needs to introduce a high-speed ADC to transfer the signal to the FPGA for digital processing, and does not rely on digital systems such as FPGA for calculation. The phase and amplitude information are directly extracted at the acquisition front end, and after the ADC collects its DC output value, the processing unit completes the preliminary pre-processing and sends the result to the main control unit.

[0090] This system architecture brings at least the following benefits:

[0091] 1. Improve system portability and ease of operation

[0092] The signal transmission between the acquisition front end (frequency domain measurement module) and the main control unit is through wireless communication (such as Bluetooth or WiFi), without too many cables. Wireless connection not only reduces the volume and weight burden caused by wires, but also greatly improves the portability and operational flexibility of the system, which is suitable for brain activity monitoring needs in dynamic scenarios.

[0093] 2. Reduce data transmission bandwidth requirements and optimize communication efficiency

[0094] The communication between the acquisition front end (frequency domain measurement module) and the system master can be achieved through low-bandwidth wireless transmission, avoiding the complex device connection problems in the process of high-bandwidth signal transmission. In addition, this improvement reduces system cost, volume and weight, while supporting the integration of more acquisition channels.

[0095] 3. Reduce the dependence on the mixer and simplify the design of the acquisition front end (frequency domain measurement module)

[0096] By enabling the detection unit to directly extract the amplitude data and phase data of the detection signal, the need for using a mixer to downconvert the signal is reduced, thereby eliminating the need for additional precise frequency signal sources and mixing devices. This improvement not only simplifies the hardware design of the acquisition front end, but also reduces the problem of high-frequency signal interference, while improving the stability and reliability of the system, making multi-channel integration more convenient.

[0097] 4. Realize on-board integration of signal generation and detection functions

[0098] This application integrates the generation of detection light, optical signal detection, and optoelectronic signal receiving and distribution circuits into a modular acquisition front end, and completes the generation and detection of optical signals through the cooperation of onboard phase and amplitude detectors. This design reduces the dependence on external desktop equipment (such as signal generators and network analyzers) and realizes modular integration of signal generation and detection. This greatly improves the overall integration of the system and lays the foundation for the practical application of wearable FD-fNIRS equipment.

[0099] like Figure 2As shown, in some optional embodiments, the detection unit 110 includes an optical signal modulation circuit 111, an optical signal detection circuit 112, an electrical signal detection circuit 113 and an analog-to-digital conversion circuit 114: the optical signal modulation circuit 111 is used to generate a modulation signal, the modulation signal is used to drive the light source to generate the detection light, and is input into the electrical signal detection circuit 113 as a reference signal; the optical signal detection circuit 112 is used to receive the detection signal, and send the detection signal to the electrical signal detection circuit 113; the electrical signal detection circuit 113 is used to extract the phase data and the amplitude data of the detection signal based on the reference signal, and send the amplitude data and the phase data to the analog-to-digital conversion circuit 114; the analog-to-digital conversion circuit 114 is used to convert the phase data and the amplitude data into digital signals, and send them to the processing unit 120.

[0100] In this embodiment, the design of the detection unit 110 integrates multiple key circuit modules, which work together to achieve efficient and accurate optical signal detection and data processing. Each circuit module is described in detail below:

[0101] Optical signal modulation circuit 111: responsible for generating a modulation signal, which is not only used to drive a light source (such as a laser) to generate detection light, but also serves as a reference signal in the subsequent electrical signal detection process. The modulation signal usually has a specific frequency, phase, and waveform to ensure that the characteristics of the detection light meet the measurement requirements. Through modulation, the signal-to-noise ratio of the detection signal can be significantly improved and the anti-interference ability of the system can be enhanced. At the same time, using a known modulation signal as a reference helps to accurately extract the phase and amplitude information of the detection signal in subsequent steps.

[0102] Optical signal detection circuit 112: Responsible for receiving the detection signal (i.e., optical signal) reflected or transmitted by the object under test and converting it into an electrical signal. As the front end of the detection system, the performance of the optical signal detection circuit 112 directly affects the sensitivity, response speed, and measurement accuracy of the entire system. An efficient detection circuit can capture weak optical signals, laying the foundation for subsequent accurate measurements.

[0103] The electrical signal detection circuit 113 compares and processes the reference signal (from the optical signal modulation circuit) with the detection signal (from the electrical signal converted by the optical signal detection circuit) to extract the phase data and amplitude data of the detection signal. This circuit can be implemented by a phase locked loop (PLL), an amplitude detector and other circuits.

[0104] Analog-to-digital conversion circuit (ADC) 114: responsible for converting the phase data and amplitude data (usually analog signals) output by the electrical signal detection circuit into digital signals so that the subsequent digital signal processing unit 120 (such as a microprocessor, ESP32 microcontroller, etc.) can process and analyze them, providing a reliable basis for subsequent algorithm processing.

[0105] In some optional embodiments, the ADC used in the signal acquisition process can be replaced with a different model according to the sampling rate and resolution requirements, such as a 12-bit or 16-bit resolution ADC, to adapt to different accuracy and bandwidth requirements. No specific limitation is made here.

[0106] In summary, the detection unit 110 in this embodiment realizes the complete process from the generation and detection of optical signals to the extraction, conversion and digital processing of electrical signals through the above-mentioned circuit module chain, gets rid of the dependence on external desktop equipment (such as signal generators and network analyzers), and realizes the modular integration of signal generation and detection. This greatly improves the overall integration of the system, lays the foundation for the practical application of wearable FD-fNIRS equipment, and provides a rich information basis for subsequent data processing and decision-making.

[0107] In some optional embodiments, the optical signal modulation circuit includes a modulation signal generation subcircuit, a signal averaging subcircuit and a light source driving subcircuit: the modulation signal generation subcircuit is used to generate the modulation signal; the signal averaging subcircuit is used to divide the modulation signal into a first modulation sub-signal and a second modulation sub-signal, and input the first modulation sub-signal to the light source driving subcircuit, and input the second modulation sub-signal as the reference signal to the electrical signal detection circuit; the light source driving subcircuit is used to drive multiple light source components according to the first modulation sub-signal to generate the detection light.

[0108] In this embodiment, the modulation signal generation subcircuit can be a high-frequency modulation signal (50-100MHz) generated by an onboard VCO (voltage controlled oscillator) under the control of a microprocessor. The signal equalization subcircuit includes a signal equalizer and an RF switch, and the light source driving subcircuit can be an LD driver device, and correspondingly, the light source device is a laser diode (LD). The modulation signal is sent to the signal equalizer. One path is distributed to the LD driver device through the RF switch, modulating multiple laser diodes (LD) to generate modulated light (i.e., detection light); the other path is used as a reference signal to input the electrical signal detection circuit.

[0109] In some optional embodiments, the light source may also be a laser diode (LD) with adjustable wavelength, or an LED light source may be used in low-precision scenarios to meet different precision and application requirements.

[0110] In some optional embodiments, the LD driver device (or light source driver subcircuit) may use other models with higher efficiency or supporting a wider modulation frequency range, such as a driver chip with lower noise and dynamic control capabilities, to further optimize the stability of the light source.

[0111] In some optional embodiments, the electrical signal detection circuit includes a power comparison subcircuit and a phase detection subcircuit: the power comparison subcircuit is used to extract the amplitude data of the detection signal; the phase detection subcircuit is used to receive the second modulated subsignal, perform phase difference detection on the second modulated subsignal and the detection signal, and obtain the phase data.

[0112] In this embodiment, the power comparison subcircuit can be an amplitude detector, and the phase detection subcircuit can be a phase detector. The detection signal enters the amplitude detector and the phase detector through the average divider; the amplitude detector extracts the amplitude value of the signal and collects data through the above-mentioned analog-to-digital conversion circuit (ADC); the phase detector detects the phase difference between the optical signal and the reference signal, and collects the data through the above-mentioned analog-to-digital conversion circuit (ADC) after filtering.

[0113] Both the amplitude detector and the phase detector are mature commercial components on the market, which avoids the use of small batch customized components with strong experimental nature. This choice not only reduces the development and production costs of multi-channel and multi-acquisition front-end systems, but also improves the quality and stability of devices and systems. The wide availability of commercial devices is also conducive to the mass production and promotion of the system, making the products of this application have significant practicality.

[0114] In some optional embodiments, the phase detector (or phase detection subcircuit) may adopt a discrete digital phase detector, or an integrated phase detection module in a phase-locked loop (PLL) to further improve the accurate measurement of the signal phase difference.

[0115] In some optional embodiments, the amplitude detector (or power comparison subcircuit) may select a logarithmic signal power detector (for signals with a large dynamic range) or an envelope detector (suitable for signals with low bandwidth requirements) to ensure accurate extraction of amplitude information.

[0116] In some optional embodiments, the independent phase detection subcircuit and power comparison subcircuit may also use integrated chips such as AD8302 that integrate phase and amplitude detection functions. Such integrated chips can further simplify circuit design, reduce the number of components, and are suitable for devices with limited volume.

[0117] In some optional embodiments, the optical signal modulation circuit further includes: a modulation signal amplification sub-circuit, used to amplify the modulation signal and input the amplified modulation signal to the signal averaging sub-circuit; the signal averaging sub-circuit, used to divide the amplified modulation signal into the first modulation sub-signal and the second modulation sub-signal, and input the first modulation sub-signal to the light source driving sub-circuit, and input the second modulation sub-signal as the reference signal to the electrical signal detection circuit.

[0118] In this embodiment, the modulation signal amplification subcircuit is used to amplify the modulation signal. The modulation signal is usually a low-frequency or medium-frequency analog signal that carries the information to be modulated onto the optical signal. However, the amplitude of the original modulation signal may not be sufficient to drive the subsequent circuits (such as the light source driving subcircuit and the signal averaging subcircuit) to achieve the required performance. Therefore, it is necessary to amplify the original modulation signal through the modulation signal amplification subcircuit to ensure that the subsequent processing can be carried out accurately and stably.

[0119] In some optional embodiments, the optical signal detection circuit includes an optical signal receiving subcircuit, an optical signal conversion subcircuit and a filtering subcircuit: the optical signal receiving subcircuit is used to receive the optical signal after the detection light is reflected by the measured tissue, and input the optical signal to the optical signal conversion subcircuit; the optical signal conversion subcircuit is used to convert the optical signal into an electrical signal, and input the electrical signal to the filtering subcircuit; the filtering subcircuit is used to filter the electrical signal to obtain the detection signal.

[0120] In this embodiment, the optical signal receiving subcircuit can be implemented based on a high-speed silicon photodiode (SiPD), and the optical signal conversion subcircuit can be implemented by a transimpedance amplifier (TIA). The optical signal transmitted / reflected by the measured tissue is detected by a high-speed silicon photodiode (SiPD), and is converted into an electrical signal by the transimpedance amplifier (TIA) and then filtered to become a detection signal.

[0121] like Figure 2 and Figure 3 As shown, in some optional embodiments, the processing unit 120 is further used to adjust the detection parameters of the detection unit 110 according to the control instructions sent back by the target main control unit 130, wherein the detection parameters include at least one of the sampling rate and the wavelength of the light source.

[0122] Specifically, the processing unit of this embodiment is based on the ESP32 single-chip microcomputer to complete signal acquisition, preprocessing and wireless transmission. Its functions include: receiving amplitude and phase data from the ADC and calculating the optical parameters of the measured tissue; transmitting the optical parameters to the system main control unit through a wireless module (Bluetooth or WiFi); according to the instructions sent back by the main control unit, the sampling rate of the underlying module, the wavelength of the light source and other parameters are logically and sequentially controlled, which greatly improves the flexibility and user experience of the head-mounted measurement device.

[0123] The sampling rate refers to the number of times the detection unit collects data per second. By default, the frequency domain near infrared spectroscopy device may set a standard sampling rate to balance data accuracy and processing speed. However, in some specific cases, it may be desirable to adjust the sampling rate to meet different needs. For example, to monitor the brain activity of a user undergoing motor rehabilitation training, the focus needs to be on observing the brain response of the user when performing a specific motor task. Correspondingly, a higher sampling rate is required to capture rapidly changing signals to ensure that subtle changes in brain activity can be captured. By sending an adjustment instruction for adjusting the sampling rate from the target main control unit, the processing unit increases the sampling rate of the detection unit after executing the adjustment instruction. The detection unit will collect data more frequently, thereby providing more intensive physiological state change information, helping to accurately understand the brain recovery status of the user being tested. On the contrary, if the user being tested is in a stationary state and does not require high real-time data, but hopes to reduce device power consumption and data processing burden, the sampling rate can be reduced.

[0124] The near-infrared spectroscopy frequency domain measurement module of this embodiment uses light sources of different wavelengths to detect brain tissue. Light of different wavelengths has different absorption and scattering characteristics when penetrating tissue, and therefore can reflect different physiological information inside the tissue. In some cases, it is necessary to adjust the wavelength of the light source to obtain more specific physiological parameters. For example, certain wavelengths of light may be more sensitive to changes in blood oxygen levels, while other wavelengths of light may be more sensitive to changes in blood flow velocity or vascular structure. The wavelength of the light source is adjusted through the target main control unit, and an adjustment instruction is sent to the processing unit to adjust the wavelength of the light source used by the detection unit. In this way, the frequency domain near-infrared spectroscopy device can flexibly switch the wavelength of the light source according to different measurement requirements, thereby providing more accurate and comprehensive physiological status information.

[0125] In summary, the processing unit adjusts the detection parameters (such as sampling rate and light source wavelength) of the detection unit according to the control instructions sent back by the target main control unit, which improves the flexibility of the device and the user experience, allowing users to understand their physiological state more accurately and take corresponding measures.

[0126] In some optional embodiments, the processing unit may also be other processing units with similar functions to the ESP32 microcontroller, such as the STM32 series microcontroller or the Raspberry Pi. These processing units all have signal acquisition, preprocessing and wireless communication functions, and can meet the needs of data processing and instruction logic control. Embedded systems such as the Raspberry Pi can also expand additional functional modules to adapt to different application scenarios.

[0127] like Figure 4 As shown, in some optional embodiments, it also includes: a power management unit 140, and the power management unit 140 is used to supply power to the detection unit 110 and the processing unit 120.

[0128] In this embodiment, the power management unit 140 works closely with the detection unit 110 and the processing unit 120. The detection unit 110 and the processing unit 120 may require different power supplies when performing tasks, and the power management unit 140 dynamically adjusts according to their needs. At the same time, the power management unit 140 also needs to monitor the power consumption of the detection unit 110 and the processing unit 120 to ensure that they always work within a safe power range.

[0129] Specifically, the power management unit 140 may use an integrated power management chip to support the independent power supply requirements of the detection unit 110 and the processing unit 120. The power management unit 140 ensures structural stability and signal integrity with the detection unit 110 and the processing unit 120 through standardized mechanical connections.

[0130] In some optional embodiments, the power management unit 140 can be replaced by other types of chips, such as a linear regulator (suitable for low-power devices) or a DC-DC converter (suitable for high-efficiency power supply scenarios), according to the power consumption requirements of different circuit boards, so as to ensure the stability and efficiency of the power supply.

[0131] like Figure 5 As shown, in some optional embodiments, the detection unit 110, the processing unit 120 and the power management unit 140 are respectively arranged on different circuit boards.

[0132] In this embodiment, by arranging each unit on a different circuit board, the frequency domain near infrared spectroscopy measurement module realizes a modular design. This design makes each part relatively independent. Once a unit fails or needs to be upgraded, only the corresponding circuit board needs to be replaced or upgraded without disassembling or overhauling the entire device, thereby greatly reducing the cost of maintenance and upgrading and improving the maintainability of the device.

[0133] On the other hand, by laying out circuit boards with different functions separately, direct interference between digital circuits and analog circuits can be effectively avoided. Separate layout can reduce electromagnetic coupling between circuit boards and reduce the generation and propagation of interference signals. For example, laying out digital circuit boards and analog circuit boards at different levels can reduce capacitive coupling and inductive coupling between them, so that the noise generated by the digital circuit is not easy to cause indirect interference to the analog circuit through the common ground line or power line, thereby protecting the purity of the analog signal, helping to make the signal received by the detection unit 110 more accurate and stable, and improving the accuracy and reliability of the measurement.

[0134] In some optional embodiments, different frequency-domain near-infrared spectroscopy measurement modules interact with each other to generate new detection channels, and the detection channels are used to receive different detection signals.

[0135] In this embodiment, the light source components and optical signal detection circuits between the multiple measurement modules mutually constitute new detection channels, so that the number of detection channels generated by the frequency domain near infrared spectroscopy device increases exponentially when one more measurement module is expanded. The more channels there are, the more detection signals the system can capture, the higher the imaging spatial resolution, and thus the higher the imaging quality.

[0136] like Figure 5 As shown, in some optional embodiments, the power management unit 140, the processing unit 120 and the detection unit 110 are arranged layer by layer.

[0137] In this embodiment, the layer-by-layer layout design realizes more effective use of the internal space of the head-mounted device. By stacking circuit boards with different functions together, the area occupied by each frequency domain near-infrared spectrum measurement module can be significantly reduced, making the layout of each frequency domain near-infrared spectrum measurement module more compact. Accordingly, the frequency domain near-infrared spectrum device can be equipped with more measurement modules in a fixed area, which is conducive to improving the imaging spatial resolution.

[0138] At the same time, by laying out the circuit boards layer by layer, there is a certain distance between the circuit boards, and air can flow more easily, thereby improving the heat dissipation performance of the equipment.

[0139] In an optional embodiment, according to the heating conditions of each unit, the layout and heat dissipation measures between the power management unit 140, the processing unit 120 and the detection unit 110 are adjusted to further improve the heat dissipation efficiency. For example, the processing unit 120 is set at the first level (the side close to the measured tissue is the first level), the detection unit 110 is located at the second level, and the power management unit 140 is located at the third level; or, the detection unit 110 is set at the first level, the processing unit 120 is set at the second level, and the power management unit 140 is located at the third level, so as to optimize the module integration and operation stability.

[0140] Based on the contents of the above embodiments, the frequency domain near infrared spectroscopy measurement module of this embodiment has significant improvements in at least the following four aspects:

[0141] 1. Direct processing and extraction of high-frequency optoelectronic signals

[0142] The commercialized dedicated phase detector and amplitude detector are used to directly process the high-frequency (50-100MHz) photoelectric signal to extract the phase difference and amplitude difference information. This method avoids the complex process of calculating the phase / amplitude difference in FPGA or PC based on digital operation methods such as Ozil algorithm in traditional systems, and does not require frequency reduction of high-frequency signals, which simplifies system design and significantly reduces hardware cost and power consumption.

[0143] 2. Front-end signal preprocessing and wireless transmission

[0144] At the acquisition front end, the phase difference and amplitude difference information collected by the detection chip are preprocessed by the single-chip microcomputer to directly calculate the optical parameters of the measured tissue (such as blood oxygen concentration). The preprocessed results are sent to the system master based on FPGA or PC via wireless transmission (such as Bluetooth or WiFi). This architecture reduces the demand for signal transmission bandwidth and improves the overall efficiency and modularity of the system.

[0145] 3. Onboard integrated optical signal generation and detection

[0146] Based on the onboard modulated light source, light detection circuit and modulation signal generation / photoelectric signal distribution circuit, the frequency domain near infrared spectroscopy measurement module of this application can independently complete the generation, reception and processing of optical signals without the need for external signal generation or detection equipment. This technology realizes the complete independence of the acquisition module, significantly improves the portability and integration of the system, and lays the foundation for the realization of modular wearable FD-fNIRS system.

[0147] 4. Reduce development and production costs and improve system reliability

[0148] The devices used in this embodiment are all mature commercial components on the market, avoiding the use of small batch customized components with strong experimental properties. This choice not only reduces the development and production costs of multi-channel and multi-collection front-end systems, but also improves the quality and stability of devices and systems. The wide availability of commercial devices is also conducive to the mass production and promotion of the system.

[0149] Embodiment 2:

[0150] Based on the above embodiments, this embodiment provides a frequency domain near infrared spectroscopy device. Figure 6 The figure is a schematic diagram of the optical signal acquisition and processing process of the frequency domain near infrared spectroscopy device. The frequency domain near infrared spectroscopy device uses the above-mentioned frequency domain near infrared spectroscopy measurement module (i.e. Figure 6 The acquisition front-end modules 1 to N) in the frequency domain near-infrared spectroscopy device are miniaturized, low-power and highly integrated, improving the situation where users are restricted in dynamic scenes.

[0151] For example, in one application scenario, it is necessary to study / monitor brain activity and monitor brain health, such as monitoring the brain activity of a user undergoing sports rehabilitation training, so as to better understand and evaluate the rehabilitation results of the user. The frequency domain near-infrared spectroscopy device is head-mounted, and the user wears the frequency domain near-infrared spectroscopy device of this embodiment. The main components of the device: the detection unit, which is in close and safe contact with the user's head, especially for the tissue area that needs to be measured, such as the forehead of the brain.

[0152] When the user puts on the frequency domain near-infrared spectroscopy device and turns it on, the detection unit starts working and emits near-infrared detection light to the tissue under test on the user's head. This light can penetrate the scalp and interact with brain tissue. Subsequently, part of the detection light will be reflected back by the tissue to form a detection signal that carries information inside the tissue. The detection unit not only receives these reflected light signals, but is also responsible for extracting key amplitude and phase data from them, which are the basis for subsequent analysis.

[0153] Once these key data are detected, the detection unit will immediately perform analog-to-digital conversion to convert the analog signal into a digital signal to ensure the accuracy and stability of the data. The converted data will be quickly sent to the processing unit.

[0154] After receiving this data, the processing unit will immediately start calculating the optical parameters of the tissue being tested. These optical parameters are crucial for understanding the physiological state of brain tissue, such as blood oxygen level and blood flow rate. After the calculation is completed, the processing unit will not display the data directly to the user, but will send the data to the target main control unit integrated in the tablet computer or monitor held by the medical staff through the built-in wireless transmission module. The target main control unit displays this data in the form of intuitive and easy-to-understand charts or numerical values ​​to better show the changes in the physiological state of the brain of the user being tested.

[0155] In an application scenario, the main control unit needs to adjust the detection parameters, such as the sampling rate and the wavelength of the light source, to more accurately understand and evaluate the rehabilitation results of the tested user:

[0156] By default, the device may set a standard sampling rate to balance data accuracy and processing speed. However, in some specific cases, the sampling rate needs to be adjusted to meet different needs. For example, observing the brain response of the user under test when performing a specific motor task requires a higher sampling rate to capture rapidly changing signals.

[0157] Specifically, the sampling rate is set to a higher value (such as dozens of times per second or more) in the tablet computer or monitor to ensure that subtle changes in brain activity can be captured. In this way, the detection unit will collect data more frequently, thereby providing more intensive information on changes in physiological state, helping to accurately understand the brain recovery status of the user being tested.

[0158] The frequency domain near-infrared spectroscopy device of this embodiment uses light sources of different wavelengths to detect brain tissue. Light of different wavelengths has different absorption and scattering characteristics when penetrating tissue, and therefore can reflect different physiological information inside the tissue. In some cases, it is necessary to adjust the wavelength of the light source to obtain more specific physiological parameters. For example, certain wavelengths of light may be more sensitive to changes in blood oxygen levels, while other wavelengths of light may be more sensitive to changes in blood flow velocity or vascular structure. The wavelength of the light source is adjusted through the target main control unit, and an adjustment instruction is sent to the processing unit to require the processing unit to adjust the wavelength of the light source used by the detection unit. In this way, the device will be able to flexibly switch the wavelength of the light source according to different measurement requirements, thereby providing more accurate and comprehensive physiological status information.

[0159] Embodiment three:

[0160] like Figure 7 As shown, another embodiment of the present application relates to a frequency domain near infrared spectroscopy measurement method, which is applied to the above-mentioned frequency domain near infrared spectroscopy measurement module, including:

[0161] Step 710, emitting detection light to the tissue to be measured, and receiving a detection signal formed after the detection light is reflected by the tissue to be measured;

[0162] Step 720, extracting the amplitude data and phase data of the detection signal, and performing analog-to-digital conversion on the amplitude data and phase data;

[0163] Step 730, calculating and obtaining the optical parameters of the measured tissue based on the amplitude data and phase data converted into digital signals;

[0164] Step 740: Send the optical parameters to the target main control unit via wireless transmission.

[0165] In this embodiment, the implementation methods of the above steps are described in detail in Embodiment 1, and will not be described again here to avoid repetition.

[0166] Embodiment 4:

[0167] Another embodiment of the present application relates to a computer-readable storage medium storing a computer program, which implements the above-mentioned frequency domain near infrared spectroscopy measurement method when executed by a processor.

[0168] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0169] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A frequency domain near infrared spectroscopy measurement module, characterized in that: It includes a detection unit and a processing unit. The detection unit is used to directly contact the user's head, emit detection light to the measured tissue of the user's head, receive the detection signal formed after the detection light is reflected by the measured tissue, extract the amplitude data and phase data of the detection signal, and send the amplitude data and phase data to the processing unit after analog-to-digital conversion; The processing unit is used to calculate the optical parameters of the measured tissue based on the amplitude data and phase data converted into digital signals, and send the optical parameters to the target main control unit by wireless transmission.

2. The frequency domain near infrared spectroscopy measurement module according to claim 1, characterized in that: The detection unit includes an optical signal modulation circuit, an optical signal detection circuit, an electrical signal detection circuit and an analog-to-digital conversion circuit: The optical signal modulation circuit is used to generate a modulation signal, the modulation signal is used to drive the light source to generate the detection light, and is input into the electrical signal detection circuit as a reference signal; The optical signal detection circuit is used to receive the detection signal and send the detection signal to the electrical signal detection circuit; The electrical signal detection circuit is used to extract the phase data and the amplitude data of the detection signal based on the reference signal, and send the amplitude data and the phase data to the analog-to-digital conversion circuit; The analog-to-digital conversion circuit is used to convert the phase data and the amplitude data into digital signals and send them to the processing unit.

3. The frequency domain near infrared spectroscopy measurement module according to claim 2, characterized in that: The optical signal modulation circuit includes a modulation signal generation subcircuit, a signal averaging subcircuit and a light source driving subcircuit: The modulation signal generating subcircuit is used to generate the modulation signal; The signal averaging subcircuit is used to divide the modulated signal into a first modulated sub-signal and a second modulated sub-signal, and input the first modulated sub-signal to the light source driving subcircuit, and input the second modulated sub-signal as the reference signal to the electrical signal detection circuit; The light source driving sub-circuit is used to drive a plurality of light source components according to the first modulation sub-signal to generate the detection light.

4. The frequency domain near infrared spectroscopy measurement module according to claim 3, characterized in that: The electrical signal detection circuit includes a power comparison subcircuit and a phase detection subcircuit: The power comparison subcircuit is used to extract the amplitude data of the detection signal; The phase detection subcircuit is used to receive the second modulated sub-signal, perform phase difference detection on the second modulated sub-signal and the detection signal, and obtain the phase data.

5. The frequency domain near infrared spectroscopy measurement module according to claim 3, characterized in that: The optical signal modulation circuit further includes: A modulation signal amplification subcircuit, used for amplifying the modulation signal and inputting the amplified modulation signal into the signal averaging subcircuit; The signal averaging subcircuit is used to divide the amplified modulated signal into the first modulated sub-signal and the second modulated sub-signal, and input the first modulated sub-signal to the light source driving subcircuit, and input the second modulated sub-signal as the reference signal to the electrical signal detection circuit.

6. The frequency domain near infrared spectroscopy measurement module according to claim 2, characterized in that: The optical signal detection circuit includes an optical signal receiving subcircuit, an optical signal conversion subcircuit and a filtering subcircuit: The optical signal receiving subcircuit is used to receive the optical signal after the detection light is reflected by the measured tissue, and input the optical signal to the optical signal conversion subcircuit; The optical signal conversion subcircuit is used to convert the optical signal into an electrical signal, and input the electrical signal into the filtering subcircuit; The filtering subcircuit is used to filter the electrical signal to obtain the detection signal.

7. The frequency domain near infrared spectroscopy measurement module according to claim 1, characterized in that: The processing unit is further configured to adjust the detection parameters of the detection unit according to the control instructions sent back by the target main control unit, wherein the detection parameters include at least one of a sampling rate and a light source wavelength.

8. The frequency domain near infrared spectroscopy measurement module according to claim 1, characterized in that: Different frequency domain near infrared spectrum measurement modules interact with each other to generate new detection channels, and the detection channels are used to receive different detection signals.

9. The frequency domain near infrared spectroscopy measurement module according to any one of claims 1 to 8, characterized in that: Also includes: A power management unit is used to supply power to the detection unit and the processing unit.

10. The frequency domain near infrared spectroscopy measurement module according to claim 9, characterized in that: The detection unit, the processing unit and the power management unit are respectively arranged on different circuit boards.

11. The frequency domain near infrared spectroscopy measurement module according to claim 10, characterized in that: The power management unit, the processing unit and the detection unit are arranged layer by layer.

12. A method for measuring frequency domain near infrared spectroscopy, characterized in that: The measurement module of frequency domain near infrared spectroscopy applied to any one of claims 1-11 comprises: Transmitting detection light to the measured tissue, and receiving a detection signal formed after the detection light is reflected by the measured tissue; Extracting amplitude data and phase data of the detection signal, and performing analog-to-digital conversion on the amplitude data and phase data; Based on the amplitude data and phase data converted into digital signals, optical parameters of the measured tissue are calculated; The optical parameters are sent to the target main control unit by wireless transmission.

13. A frequency domain near infrared spectroscopy device, characterized in that: A frequency domain near infrared spectroscopy measurement module comprising any one of claims 1-11.

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