Brain function composite monitoring system

Abstract

The invention relates to the field of brain function monitoring, in particular to a brain function composite monitoring system which comprises an infrared and radar common-caliber antenna and a receiving module connected with the infrared and radar common-caliber antenna, and the receiving module comprises a high-sensitivity extremely-low-frequency receiver and an infrared detector; the signal processing module comprises an AD board, a signal processing board, a data processing board and a data exchange board; the data storage module is used for storing vital signs and brain wave characteristic data of the monitored object; according to the invention, continuous dynamic monitoring of consciousness and brain temperature is realized in a non-contact manner, real-time capture of disease change of a patient is ensured, the early warning capability is improved, interference to the patient is reduced, and the monitoring accuracy of the patient is improved. And meanwhile, the operation complexity and the use cost are reduced. The system is suitable for hospitalization, home rehabilitation and elderly patient monitoring, and provides important support for first-aid treatment and precise medical treatment.

Description

Technical Field

[0001] The invention relates to the field of brain function monitoring, in particular to a brain function composite monitoring system. Background Art

[0002] Brain function monitoring plays a vital role in the observation of the condition of hospitalized patients, patients undergoing home rehabilitation, and elderly patients. Consciousness monitoring is a core component of brain function monitoring. Through continuous observation and evaluation of the patient's state of consciousness, medical personnel can promptly detect the changing trend of the disease and ensure that the patient receives timely and effective treatment. When the patient's state of consciousness deepens, it often means that the condition may worsen. If it is not discovered and measures are not taken in time, it may lead to further deterioration of the condition and even endanger the patient's life. In addition, brain temperature monitoring is crucial to understanding the metabolic state and blood flow of the brain, which can help doctors detect abnormal conditions such as cerebral ischemia or hemorrhage in a timely manner. The combination of consciousness monitoring and brain temperature monitoring enables medical personnel to more comprehensively grasp the patient's brain physiological condition and formulate more accurate treatment and intervention plans.

[0003] At present, consciousness monitoring mainly relies on traditional clinical observation and instrument monitoring by medical staff. Traditional clinical observation methods mainly rely on scales such as patrols and Glasgow Coma Scale (GCS) for evaluation. This method is limited by the patrol frequency and is difficult to achieve continuous dynamic monitoring. The evaluation process may also affect the patient's rest. Instrument monitoring methods such as electroencephalogram (EEG) monitoring and bispectral index (BIS) monitoring, although they can provide a certain degree of quantitative evaluation, have problems such as high cost, complex operation, and the need for head electrode connection, making them difficult to promote in ordinary wards or home care environments.

[0004] Brain temperature monitoring methods can be divided into two categories: invasive and non-invasive. Invasive monitoring directly measures brain temperature by implanting a probe into the patient's brain. Although it has high accuracy, it is complex to operate and has high risks, and is only suitable for specific critically ill patients. Non-invasive brain temperature monitoring includes fluorescence imaging, nuclear magnetic resonance temperature measurement (NMR), and indirect measurement methods (such as oral temperature, tympanic membrane temperature, external skull temperature, etc.). However, fluorescence imaging and NMR temperature measurement equipment are expensive, complex to operate, and difficult to popularize; indirect measurement methods are greatly affected by environmental and individual differences, have low accuracy, and cannot meet clinical needs for real-time, dynamic brain temperature monitoring.

[0005] Limitations of consciousness monitoring: Traditional clinical observation relies on medical staff's rounds, which makes it difficult to achieve continuous dynamic monitoring. There is a blank period of observation. Methods such as the Glasgow Coma Scale require waking up or stimulating the patient, which disturbs the patient's rest and affects the recovery process. Existing instrument monitoring equipment is expensive, complex to operate, and relies on electrode connections, which limits its application in a wide range of clinical scenarios.

[0006] Limitations of brain temperature monitoring: Invasive monitoring methods have high operational risks and may cause complications such as infection and bleeding. Non-invasive monitoring methods are limited by high equipment costs, complex operations, insufficient accuracy or inability to perform real-time dynamic monitoring. Existing indirect measurement methods (such as tympanic membrane temperature, extracranial temperature, etc.) are easily affected by environmental factors and individual differences, and it is difficult to provide stable and reliable data support. Summary of the invention

[0007] Based on the above problems, the present invention proposes a non-contact integrated brain function composite monitoring system, which realizes continuous dynamic monitoring of consciousness and brain temperature in a non-contact manner, ensures real-time capture of changes in the patient's condition, improves early warning capabilities, reduces interference with patients, and reduces operational complexity and usage costs. The system is suitable for monitoring hospitalized, home rehabilitation and elderly patients, providing important support for emergency treatment and precision medicine.

[0008] The present invention is achieved through the following technical solutions: A brain function composite monitoring system, comprising: The infrared and radar co-aperture antenna is used to receive the brain wave signals and infrared radiation signals of the monitored object; A receiving module, connected to the infrared and radar co-aperture antenna, is used to amplify, filter and demodulate the received brain wave signals and infrared radiation signals, and the receiving module includes a high-sensitivity extremely low frequency receiver and an infrared detector; Signal processing module, including AD board, signal processing board, data processing board and data exchange board, used for sampling, preprocessing, identification and analysis of brain wave signals and infrared signals and data exchange; A data storage module, used to store the vital signs and brain wave characteristic data of the monitored object; The alarm module is used to send out a warning signal when abnormal vital signs or consciousness state of the monitored object is detected.

[0009] Furthermore, the infrared and radar co-aperture antenna includes a high-sensitivity extremely low frequency receiving antenna, a primary reflector, a secondary reflector, a zinc sulfide infrared optical objective lens, and a reflector; The zinc sulfide infrared optical objective lens is arranged at the front end of the infrared and radar common aperture antenna, and is used to receive the infrared radiation signal of the monitored object. A high-sensitivity extremely low frequency receiving antenna is etched on its inner surface, and is used to receive brain wave signals. The main reflector is located behind the zinc sulfide infrared optical objective lens, and reflects and converges infrared signals and extremely low frequency signals; The secondary reflector is located at the focus of the primary reflector, further adjusting the propagation direction of the signal and directing the signal to the reflector; The reflector is located behind the main reflector and is used to adjust the signal path so that the signal enters the receiving module for processing.

[0010] Further, the receiving module includes a self-calibration component, a high-sensitivity extremely low frequency receiver, and an infrared detector; The self-calibration component includes a high-stability extremely low frequency signal source, a first switch, and a second switch. One end of the first switch receives the brain wave signal, and the other end is respectively connected to one end of the second switch and a high-sensitivity extremely low frequency receiver. The other end of the second switch is connected to the high-stability extremely low frequency signal source. The high-sensitivity extremely low frequency receiver includes a limiter, a low-noise amplifier, a filter and a demodulator, wherein the input end of the limiter is connected to the other end of the first switch, the output end of the limiter is connected to the input end of the low-noise amplifier, the output end of the low-noise amplifier is connected to the input end of the filter, the output end of the filter is connected to the input end of the demodulator, and the output end of the demodulator is connected to the signal processing module; The infrared detector includes an infrared imaging lens group, an infrared detection window, and an infrared detector target surface. The infrared imaging lens group is connected to the reflector optical path. The infrared detection window and the infrared detector target surface are sequentially arranged behind the infrared imaging lens group. The infrared detection target surface is connected to a signal processing module.

[0011] Furthermore, the signal processing module includes an AD board, a signal processing board, a data processing board and a data exchange board, the AD board is respectively connected to a demodulator and an infrared detection target surface, and the AD board is used to sample brain wave signals and infrared signals; The AD board is connected to a signal processing board, and the signal processing board pre-processes the signal transmitted by the AD board; The data processing board is connected to the signal processing board, and the data processing board further identifies and analyzes the pre-processed signal to extract key information; The data exchange board is used for interconnection between the AD board, the signal processing board and the data processing board to perform data transmission and synchronization.

[0012] Furthermore, the storage module is connected to the data processing board via a data exchange board, and the storage module is used to store normal and abnormal pathological data, which is based on the vital and brain wave characteristic data obtained by the signal processing module through analysis and processing.

[0013] Furthermore, the alarm module is connected to the data processing board and the storage module through a data exchange board. The alarm module compares the vital and brain wave characteristic data analyzed and processed by the data processing board with the vital and brain wave characteristic data stored in the storage module. When the difference is greater than a threshold, it indicates that the test is abnormal and a warning signal is issued.

[0014] Furthermore, a link calibration method is also included, which is used to eliminate amplitude and phase errors in the system receiving link and improve the measurement accuracy of the high-sensitivity extremely low frequency receiver, and specifically includes the following steps: S1, disconnect the first switch in the self-calibration component, close the second switch, turn on the high-stability extremely low frequency signal source, and set the radar excitation transmission signal to , and outputs it to a high-sensitivity ELF receiver, where the transmitted signal The frequency domain expression of is:

[0015] in Indicates the amplitude of a high stability very low frequency signal source, Indicates the phase of a high-stability ELF signal source and outputs it to a high-sensitivity ELF receiver; S2, transmit signal After the second switch, high-sensitivity extremely low frequency receiver, and signal processing module, the signal received by the system is :

[0016] in is the amplitude of the received signal, Indicates the phase of the received signal; S3, receiving signal Relative to the transmitted signal The amplitude change and phase shift are calculated, that is, the total error of the link through the second switch and the high-sensitivity extremely low frequency receiver is calibrated. :

[0017] in Indication error The amplitude, Indication error The phase of S4. Use the calibrated first switch error parameters , the second switch error parameter , combined with Perform vector calculation correction to obtain the error of high-sensitivity ultra-low frequency receiver ;

[0018] The second switching error parameter for: ; in is the error parameter The amplitude, is the error parameter The phase of The first switching error parameter for: ; in is the error parameter The amplitude, is the error parameter The phase of S5, open the second switch, close the first switch, and the system receives the signal : ; in is the amplitude of the received signal, is the phase of the received signal. Using high sensitivity extremely low frequency receiver error Perform calibration to obtain the calibrated signal : .

[0019] Beneficial effects of the present invention: (1) The composite brain function monitoring system proposed in the present invention effectively overcomes the shortcomings of traditional disease observation and assessment methods and realizes real-time, continuous and dynamic monitoring of the patient's state of consciousness. The system can timely detect changes in the patient's state of consciousness, enabling medical staff to quickly take corresponding intervention measures, thereby improving the patient's survival rate and quality of life, while reducing the waste of medical resources; (2) The brain function composite monitoring system proposed in the present invention can provide medical staff with comprehensive and accurate patient status information, provide scientific data support for the precise formulation of clinical diagnosis and treatment plans, make medical treatment more scientific and efficient, and improve the accuracy of diagnosis and treatment; (3) The composite brain function monitoring system proposed by the present invention avoids direct interference to patients through non-contact dynamic continuous monitoring of consciousness, helps patients maintain a good rest state, and promotes recovery. It is particularly suitable for comatose patients, intensive care patients and special groups who are not suitable for contact monitoring; (4) The present invention proposes a brain function composite monitoring system that uses non-invasive infrared brain temperature monitoring technology to improve the convenience and dynamics of brain temperature monitoring, achieve comprehensive monitoring coverage of patients, provide effective support for early disease intervention and precision medicine, and reduce the discomfort and risks caused by invasive monitoring; (5) The present invention proposes a brain function composite monitoring system, which can intelligently identify subtle changes in the patient's brain state by dynamically monitoring the patient's consciousness state and brain temperature changes, and combined with big data analysis, can provide clinicians with reliable early warning information, help to take timely intervention measures, and improve medical safety and diagnosis and treatment efficiency; (6) The present invention proposes a brain function composite monitoring system that simultaneously monitors the patient's consciousness level and brain temperature status, which can comprehensively evaluate brain function, improve diagnostic accuracy, and optimize treatment plans. Changes in consciousness level can reflect the brain's advanced cognitive and emotional functions, while abnormal brain temperature may be a signal of an imbalance in the brain's physiological state. Comprehensive monitoring helps to detect craniocerebral injuries, neurodegenerative diseases, and other problems at an early stage, and improves the timeliness and accuracy of diagnosis; (7) The present invention proposes a brain function composite monitoring system that can provide doctors with real-time monitoring data, facilitating doctors to dynamically adjust treatment plans according to changes in the patient's condition, thereby ensuring the pertinence and effectiveness of treatment measures. For example, in the treatment of patients with craniocerebral injury, if the system detects that the patient's level of consciousness has decreased and the brain temperature has increased, the doctor can quickly take cooling measures and adjust the drug dosage to reduce the risk of brain injury, improve treatment efficacy, and reduce the incidence of complications. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0021] Figure 1 This is a schematic diagram of the functional modules of a brain function composite monitoring system proposed by the present invention; Figure 2 This is a design diagram of the infrared and radar co-aperture antenna optical path of a brain function composite monitoring system proposed by the present invention; Figure 3 This is a structural diagram of a self-calibration component of a brain function composite monitoring system proposed by the present invention; Figure 4 A schematic diagram of a signal processing module of a brain function composite monitoring system proposed by the present invention; Figure 5 This is a schematic diagram of the structure of a high-sensitivity extremely low frequency receiver of a brain function composite monitoring system proposed by the present invention; Figure 6 A test schematic diagram of a brain function composite monitoring system proposed by the present invention; Figure 7A flow chart of a high-sensitivity extremely low frequency receiver calibration algorithm for a brain function composite monitoring system proposed by the present invention; Figure 8 A schematic diagram of a terminal device of a brain function composite monitoring system proposed by the present invention; Fig. 9 A schematic diagram of a readable storage medium of a brain function composite monitoring system proposed by the present invention; In the figure, 1-infrared and radar common aperture antenna, 2-receiving module, 3-electronic box, 4-display control device, 5-alarm module, 6-storage device, 101-high sensitivity extremely low frequency receiving antenna, 102-primary reflector, 103-secondary reflector, 104-zinc sulfide infrared optical objective lens, 105-reflector, 201-self-calibration component, 2011-high stability extremely low frequency signal source, 2012-second switch, 2013-first switch, 2021-limiter, 202-high sensitivity extremely low frequency receiver, 2022-low noise amplifier, 2023-filter, 2024-demodulation device, 203-infrared detector, 2031-infrared imaging lens group, 2032-infrared detection window, 2033-infrared detector target surface, 301-AD board, 302-signal processing board, 303-data processing board, 304-data exchange board, 200-terminal device, 210-memory, 211-RAM, 212-cache memory, 213-ROM, 214-program / utility, 215-program module, 220-processor, 230-bus, 240-external device, 250-I / O interface, 260-network adapter, 300-program product. DETAILED DESCRIPTION

[0022] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0023] Example 1 refer to Figure 1-Figure 6 A brain function composite monitoring system is used for dynamic and contactless monitoring of the patient's state of consciousness. The system can receive the patient's brain waves and infrared thermal radiation signals through the infrared and radar common aperture antenna 1, and combine with the high-sensitivity extremely low frequency receiver 202 for data processing to achieve a comprehensive assessment of the patient's level of consciousness and brain temperature.

[0024] refer to Figure 1 The system includes an infrared and radar common aperture antenna 1, a receiving module 2, an electronic box 3, a display control device 4, an alarm module 5, and a storage device 6.

[0025] The infrared and radar co-aperture antenna 1 adopts an integrated design of optical and radar systems, including a high-sensitivity extremely low frequency receiving antenna 101, a primary reflector 102, and a secondary reflector 103, and is used to simultaneously collect the patient's brain wave and infrared thermal radiation data.

[0026] Among them, the zinc sulfide infrared optical objective lens 104, the reflector 105 and the infrared detector, the infrared detector includes an infrared imaging lens group 2031, an infrared detection window 2032, and an infrared detector target surface 2033, which are used to obtain the patient's infrared thermal imaging data and realize dynamic monitoring of the patient's brain temperature.

[0027] The receiving module 2 includes a self-calibration component 201 , a high-sensitivity extremely low frequency receiver 202 and an infrared detector 203 .

[0028] The self-calibration component 201 includes a high-stability extremely low frequency signal source 2011, a second switch 2012, and a first switch 2013, which can realize automatic calibration of the system and improve the accuracy of signal reception.

[0029] The high-sensitivity extremely low frequency receiver 202 is used to receive and process brain wave signals, and includes a limiter 2021, a low-noise amplifier 2022, a filter 2023 and a demodulator 2024.

[0030] The electronic box 3 adopts a PXIe bus structure design and consists of an AD board 301, a signal processing board 302, a data processing board 303 and a data exchange board 304. The AD board 301 samples brain waves and infrared signals, the signal processing board 302 pre-processes the sampled signals, the data processing board 303 performs feature extraction and analysis, and the data exchange board 304 is responsible for data transmission between different modules.

[0031] The display control device 4 is used to display the patient's brain function monitoring data in real time, including brain wave waveforms, infrared thermal imaging data, etc.

[0032] The alarm module 5 can trigger an alarm based on the set abnormal threshold when the patient's consciousness state or brain temperature is abnormal, reminding medical staff to take intervention measures.

[0033] The storage device 6 is used to store the patient's historical monitoring data to support big data analysis and disease trend prediction.

[0034] Implementation steps: Fix the infrared and radar co-aperture antenna 1 above the patient's bed to ensure that the receiving range of the antenna covers the patient's head area.

[0035] After the system is started, the self-calibration component 201 starts to work, and outputs a reference signal through the high-stability extremely low frequency signal source 2011 to automatically calibrate the system to ensure the receiving accuracy.

[0036] The high-sensitivity ELF receiving antenna 101 receives the patient's brain wave signal, and transmits it to the electronic box 3 after being processed by the high-sensitivity ELF receiver 202 .

[0037] The infrared detector 203 synchronously collects the infrared thermal radiation data of the patient, and after being focused by the infrared imaging lens group 2031 and the infrared detection window 2032 , it is projected onto the infrared detector target surface 2033 , converted into an electronic signal and transmitted to the electronic box 3 .

[0038] The AD board 301 performs analog-to-digital conversion on the received brain wave signals and infrared signals, and the signal processing board 302 performs filtering, noise reduction and feature extraction on the data.

[0039] The data processing board 303 analyzes the signal and identifies changes in the patient's consciousness state and abnormal brain temperature. Through a preset intelligent algorithm, the system can identify the patient's consciousness state and detect whether there are abnormal fluctuations.

[0040] The processed data is presented in real time through the display control device 4, and medical staff can check the patient's brain wave status, infrared thermal imaging data and related analysis results at any time.

[0041] If the system detects that the patient's consciousness level decreases or the brain temperature rises abnormally (for example, above 38.5°C), the alarm module 5 triggers an alarm to remind medical staff to intervene in time, such as adjusting the treatment plan, lowering the brain temperature or performing other medical operations.

[0042] All monitoring data are stored in the storage device 6 for long-term trend analysis to provide data support for the optimization of the patient's treatment plan. By combining the historical data of multiple patients, the system can further utilize big data analysis models to optimize brain function monitoring algorithms and improve early warning capabilities of diseases.

[0043] Example 2 This embodiment proposes a method for improving the measurement accuracy of the high-sensitivity extremely low frequency receiver 202 based on the first embodiment.

[0044] refer to Figure 7 The link calibration method is used to eliminate the amplitude and phase errors in the system receiving link and improve the measurement accuracy of the high-sensitivity extremely low frequency receiver 202, and specifically includes the following steps: S1, disconnect the first switch 2013 in the self-calibration component, close the second switch 2012, turn on the high-stability extremely low frequency signal source 2011, and set the radar excitation transmission signal to , and outputs it to the high-sensitivity extremely low frequency receiver 202, where the transmitted signal The frequency domain expression of is:

[0045] in Indicates the amplitude of the high stability very low frequency signal source 2011, Indicates the phase of the high stability ELF signal source 2011, which is output to the high sensitivity ELF receiver 202; S2, transmit signal After the second switch 2012, the high-sensitivity extremely low frequency receiver 202, and the electronic box 3, the signal received by the system is :

[0046] in is the amplitude of the received signal, Indicates the phase of the received signal; S3, receiving signal Relative to the transmitted signal The amplitude change and phase shift are calculated, that is, the total error of the link through the second switch 2012 and the high-sensitivity extremely low frequency receiver 202 is calibrated. :

[0047] in Indication error The amplitude, Indication error The phase of S4, using the calibrated first switch 2013 error parameters , Error parameter of the second switch 2012 , combined with Perform vector calculation correction to obtain the high-sensitivity extremely low frequency receiver 202 error ;

[0048] The error parameter of the second switch 2012 for: ; in is the error parameter The amplitude, is the error parameter The phase of The first switch 2013 error parameter for: ; in is the error parameter The amplitude, is the error parameter The phase of S5, disconnect the second switch 2012, close the first switch 2013, and the system receives the signal : ; in is the amplitude of the received signal, is the phase of the received signal. Using the High Sensitivity Extremely Low Frequency Receiver 202 Error Perform calibration to obtain the calibrated signal : .

[0049] Example 3 refer to Figure 8 Based on Example 1, this example proposes a terminal device of a brain function composite monitoring system. The terminal device 200 includes at least one memory 210, at least one processor 220, and a bus 230 connecting different platform systems.

[0050] The memory 210 may include a readable medium in the form of a volatile memory, such as a RAM 211 and / or a cache memory 212 , and may further include a ROM 213 .

[0051] Among them, the memory 210 also stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 executes any one of the above-mentioned brain function composite monitoring system applications in the embodiments of the present application, and its specific implementation method is consistent with the implementation method and the technical effect achieved in the embodiments of the above-mentioned applications, and some contents are not repeated. The memory 210 can also include a program / utility 214 having a group (at least one) of program modules 215, such program modules 215 include but are not limited to: an operating system, one or more application programs, other program modules and program data, each of these examples or some combination may include the implementation of a network environment.

[0052] Accordingly, the processor 220 may execute the above-mentioned computer programs, and may execute the program / utility 214 .

[0053] The bus 230 may be a bus representing one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.

[0054] The terminal device 200 may also communicate with one or more external devices 240 such as keyboards, pointing devices, Bluetooth devices, etc., and may also communicate with one or more devices that can interact with the terminal device 200, and / or communicate with any device (such as a router, a modem, etc.) that enables the terminal device 200 to communicate with one or more other computing devices. Such communication may be performed through an I / O interface 250. In addition, the terminal device 200 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and / or a public network, such as the Internet) through a network adapter 260. The network adapter 260 may communicate with other modules of the terminal device 200 through a bus 230. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the terminal device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0055] Example 4 refer to Fig. 9 This embodiment proposes a computer-readable storage medium for a composite brain function monitoring system, and instructions are stored on the computer-readable storage medium. When the instructions are executed by the processor, the specific implementation method of implementing any one of the above-mentioned composite brain function monitoring systems is consistent with the implementation method and the technical effect achieved in the above-mentioned application embodiments, and some contents will not be repeated here.

[0056] Fig. 9 The program product 300 provided in this embodiment for implementing the above-mentioned application is shown, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product 300 of the present invention is not limited to this. In this embodiment, the readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. The program product 300 can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0057] Computer-readable storage media may include data signals propagated in baseband or as part of a carrier wave, wherein readable program codes are carried. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium may also be any readable medium other than the readable storage medium, which may send, propagate, or transmit a program used by or in combination with an instruction execution system, an apparatus, or a device. The program code contained on the readable storage medium may be transmitted with any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above. The program code for performing the operation of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and also conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on a user computing device, partially on a user device, as an independent software package, partially on a user computing device, partially on a remote computing device, or entirely on a remote computing device or server. Where a remote computing device is involved, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0058] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A brain function composite monitoring system, characterized in that: include: The infrared and radar co-aperture antenna is used to receive the brain wave signals and infrared radiation signals of the monitored object; A receiving module, connected to the infrared and radar co-aperture antenna, is used to amplify, filter and demodulate the received brain wave signals and infrared radiation signals, and the receiving module includes a high-sensitivity extremely low frequency receiver and an infrared detector; Signal processing module, including AD board, signal processing board, data processing board and data exchange board, used for sampling, preprocessing, identification and analysis of brain wave signals and infrared signals and data exchange; A data storage module, used to store the vital signs and brain wave characteristic data of the monitored object; The alarm module is used to send out a warning signal when abnormal vital signs or consciousness state of the monitored object is detected.

2. A brain function composite monitoring system according to claim 1, characterized in that: The infrared and radar common aperture antenna includes a high-sensitivity extremely low frequency receiving antenna, a primary reflector, a secondary reflector, a zinc sulfide infrared optical objective lens, and a reflector; The zinc sulfide infrared optical objective lens is arranged at the front end of the infrared and radar common aperture antenna, and is used to receive the infrared radiation signal of the monitored object. A high-sensitivity extremely low frequency receiving antenna is etched on its inner surface, and is used to receive brain wave signals. The main reflector is located behind the zinc sulfide infrared optical objective lens, and reflects and converges infrared signals and extremely low frequency signals; The secondary reflector is located at the focus of the primary reflector, further adjusting the propagation direction of the signal and directing the signal to the reflector; The reflector is located behind the main reflector and is used to adjust the signal path so that the signal enters the receiving module for processing.

3. A brain function composite monitoring system according to claim 1, characterized in that: The receiving module includes a self-calibration component, a high-sensitivity extremely low frequency receiver, and an infrared detector; The self-calibration component includes a high-stability extremely low frequency signal source, a first switch, and a second switch. One end of the first switch receives the brain wave signal, and the other end is respectively connected to one end of the second switch and a high-sensitivity extremely low frequency receiver. The other end of the second switch is connected to the high-stability extremely low frequency signal source. The high-sensitivity extremely low frequency receiver includes a limiter, a low-noise amplifier, a filter and a demodulator, wherein the input end of the limiter is connected to the other end of the first switch, the output end of the limiter is connected to the input end of the low-noise amplifier, the output end of the low-noise amplifier is connected to the input end of the filter, the output end of the filter is connected to the input end of the demodulator, and the output end of the demodulator is connected to the signal processing module; The infrared detector includes an infrared imaging lens group, an infrared detection window, and an infrared detector target surface. The infrared imaging lens group is connected to the reflector optical path. The infrared detection window and the infrared detector target surface are sequentially arranged behind the infrared imaging lens group. The infrared detection target surface is connected to a signal processing module.

4. A brain function composite monitoring system according to claim 1, characterized in that: The signal processing module includes an AD board, a signal processing board, a data processing board and a data exchange board. The AD board is connected to a demodulator and an infrared detection target surface respectively. The AD board is used to sample brain wave signals and infrared signals. The AD board is connected to a signal processing board, and the signal processing board pre-processes the signal transmitted by the AD board; The data processing board is connected to the signal processing board, and the data processing board further identifies and analyzes the pre-processed signal to extract signal amplitude, phase, and frequency information; The data exchange board is used for interconnection between the AD board, the signal processing board and the data processing board to perform data transmission and synchronization.

5. A brain function composite monitoring system according to claim 1, characterized in that: The storage module is connected to the data processing board via a data exchange board, and is used to store normal and abnormal pathological data, which are based on the vital and brain wave characteristic data obtained by analysis and processing by the signal processing module.

6. A brain function composite monitoring system according to claim 1, characterized in that: The alarm module is connected to the data processing board and the storage module through a data exchange board. The alarm module compares the vital and brain wave characteristic data analyzed and processed by the data processing board with the vital and brain wave characteristic data stored in the storage module. When the difference is greater than a threshold, it indicates that the test is abnormal and a warning signal is issued.

7. A brain function composite monitoring system according to claim 1, characterized in that: The invention also includes a link calibration method, which is used to eliminate amplitude and phase errors in a system receiving link and improve the measurement accuracy of a high-sensitivity extremely low frequency receiver, and specifically includes the following steps: S1, disconnect the first switch in the self-calibration component, close the second switch, turn on the high-stability extremely low frequency signal source, and set the radar excitation transmission signal to , and outputs it to a high-sensitivity ELF receiver, where the transmitted signal The frequency domain expression of is: ； in Indicates the amplitude of a high stability very low frequency signal source, Indicates the phase of a high-stability ELF signal source and outputs it to a high-sensitivity ELF receiver. represents the base of natural logarithms, represents an imaginary unit; S2, transmit signal After the second switch, high-sensitivity extremely low frequency receiver, and signal processing module, the signal received by the system is : ； in is the amplitude of the received signal, Indicates the phase of the received signal; S3, receiving signal Relative to the transmitted signal The amplitude change and phase shift are calculated, that is, the total error of the link through the second switch and the high-sensitivity extremely low frequency receiver is calibrated. : ； in Indication error The amplitude, Indication error The phase of S4. Use the calibrated first switch error parameters , the second switch error parameter , combined with Perform vector calculation correction to obtain the error of high-sensitivity ultra-low frequency receiver ; ； The second switching error parameter for: ； in is the error parameter The amplitude, is the error parameter The phase of The first switching error parameter for: ； in is the error parameter The amplitude, is the error parameter The phase of S5, open the second switch, close the first switch, and the system receives the signal : ； in is the amplitude of the received signal, is the phase of the received signal. Using high sensitivity extremely low frequency receiver error Perform calibration to obtain the calibrated signal : 。

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