A brain function composite monitoring system

Abstract

The present invention relates to the field of brain function monitoring, and it relates to a composite brain function monitoring system, an infrared and radar co-aperture antenna, a receiving module connected to the infrared and radar co-aperture antenna, the receiving module including a high-sensitivity extremely low-frequency receiver and an infrared detector; a signal processing module including an AD board, a signal processing board, a data processing board, and a data exchange board; a data storage module for storing the vital signs and electroencephalogram feature data of the monitored object; an alarm module for sending out a warning signal when detecting that the vital signs or consciousness state of the monitored object is abnormal. The present invention realizes continuous dynamic monitoring of consciousness and brain temperature in a non-contact manner, ensures real-time capture of the patient's condition changes, improves the early warning ability, reduces interference to the patient, and at the same time reduces the operation complexity and usage cost. This system is applicable to the monitoring of inpatients, home rehabilitation, and elderly patients, providing important support for first aid treatment and precision medicine.

Description

Technical Field

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

[0002] Brain function monitoring plays a crucial role in the condition observation of inpatients, home rehabilitation patients, and elderly patients. Consciousness monitoring is a core component of brain function monitoring. By continuously observing and evaluating the patient's consciousness state, medical staff can timely detect the changing trend of the condition and ensure that the patient receives timely and effective treatment. When the patient's consciousness state deepens, it often means that the condition may deteriorate. If not detected 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 for understanding the brain's metabolic state and blood flow conditions, and can help doctors timely detect abnormal conditions such as cerebral ischemia or hemorrhage. The combination of consciousness monitoring and brain temperature monitoring enables medical staff to more comprehensively master the patient's brain physiological conditions and formulate more accurate treatment and intervention plans.

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

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

[0005] Limitations of consciousness monitoring: Traditional clinical observations rely on the rounds of medical staff and are difficult to achieve continuous dynamic monitoring, with observation blank periods. Methods such as the Glasgow Coma Scale need to wake up or stimulate the patient, interfering with the patient's rest and affecting the recovery process. Existing instrument monitoring equipment is expensive, complex to operate, and electrode connection-dependent, limiting its application in a wide range of clinical scenarios.

[0006] Limitations of brain temperature monitoring: Invasive monitoring methods have relatively high operation 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 the inability to perform real-time dynamic monitoring. Existing indirect measurement methods (such as tympanic temperature, extracranial skull temperature, etc.) are easily affected by environmental factors and individual differences and are 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. This system realizes continuous dynamic monitoring of consciousness and brain temperature through a non-contact method, ensures real-time capture of the patient's condition changes, improves early warning capabilities, reduces interference to the patient, and at the same time reduces operation complexity and usage costs. This system is applicable to the monitoring of inpatients, home rehabilitation patients, and elderly patients, providing important support for first aid treatment and precision medicine.

[0008] The present invention is realized through the following technical solutions:

[0009] A brain function composite monitoring system, comprising:

[0010] An infrared and radar co-aperture antenna, used to receive the brain wave signal and infrared radiation signal of the monitored object;

[0011] A receiving module, connected to the infrared and radar co-aperture antenna, used to amplify, filter, and demodulate the received brain wave signal and infrared radiation signal. The receiving module includes a high-sensitivity extremely low-frequency receiver and an infrared detector;

[0012] A signal processing module, including an AD board, a signal processing board, a data processing board, and a data exchange board, used to sample, preprocess, identify and analyze, and perform data interaction on the brain wave signal and infrared signal;

[0013] A data storage module, used to store the vital signs and brain wave characteristic data of the monitored object;

[0014] An alarm module, used to send a warning signal when an abnormality in the vital signs or consciousness state of the monitored object is detected.

[0015] Further, 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;

[0016] The zinc sulfide infrared optical objective lens is arranged at the forefront of the infrared and radar co-aperture antenna, used to receive the infrared radiation signal of the monitored object. The inner surface of it is etched with a high-sensitivity extremely low-frequency receiving antenna, used to receive the brain wave signal;

[0017] The main reflector is located behind the zinc sulfide infrared optical objective lens, reflecting and converging infrared signals and extremely low frequency signals;

[0018] The secondary reflector is located at the focus of the main reflector, further adjusting the propagation direction of the signal and guiding the signal to the reflector;

[0019] 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.

[0020] Furthermore, the receiving module includes a self-calibration component, a high-sensitivity extremely low frequency receiver, and an infrared detector;

[0021] 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 the high-sensitivity extremely low frequency receiver. The other end of the second switch is connected to the high-stability extremely low frequency signal source;

[0022] The high-sensitivity extremely low frequency receiver includes a limiter, a low-noise amplifier, a filter, and a demodulator. 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;

[0023] 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 optically connected to the reflector. The infrared detection window and the infrared detector target surface are sequentially arranged behind the infrared imaging lens group, and the infrared detection target surface is connected to the signal processing module.

[0024] 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 the demodulator and the infrared detection target surface, and the AD board is used to sample the brain wave signal and the infrared signal;

[0025] The AD board is connected to the signal processing board, and the signal processing board preprocesses the signals transmitted by the AD board;

[0026] The data processing board is connected to the signal processing board, and the data processing board further identifies and analyzes the preprocessed signals to extract key information;

[0027] The data exchange board is used for the interconnection between the AD board, the signal processing board, and the data processing board to perform data transmission and synchronization.

[0028] Further, the storage module is connected to the data processing board through a data exchange board. The storage module is used to store normal and abnormal pathological data, which is based on the life and electroencephalogram feature data analyzed and processed by the signal processing module.

[0029] Further, the alarm module is connected to the data processing board through a data exchange board and communicatively connected to the storage module. The alarm module compares the life and electroencephalogram feature data analyzed and processed by the data processing board with the life and electroencephalogram feature data stored in the storage module. When the difference is greater than the threshold, it indicates that the test is abnormal and a warning signal is issued.

[0030] Further, a link calibration method is also included. 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. It specifically includes the following steps:

[0031] 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 as and output it to the high-sensitivity extremely low-frequency receiver, where the transmission signal has a frequency-domain expression of:

[0032]

[0033] where represents the amplitude of the high-stability extremely low-frequency signal source, represents the phase of the high-stability extremely low-frequency signal source, and output it to the high-sensitivity extremely low-frequency receiver;

[0034] S2. The transmission signal passes through the second switch, the high-sensitivity extremely low-frequency receiver, and the signal processing module. The signal received by the system is :

[0035]

[0036] where is the amplitude of the received signal, represents the phase of the received signal;

[0037] S3. Calculate the amplitude change and phase shift of the received signal relative to the transmission signal , that is, calibrate the total error of the link passing through the second switch and the high-sensitivity extremely low-frequency receiver:

[0038]

[0039] where represents the error amplitude indicating error phase

[0040] S4. Using the calibrated first switch error parameter and the second switch error parameter , combine with to perform vector operation correction to obtain the high-sensitivity extremely low-frequency receiver error ;

[0041]

[0042] The second switch error parameter is

[0043] ;

[0044] wherein is the amplitude of the error parameter and is the phase of the error parameter ;

[0045] The first switch error parameter is

[0046] ;

[0047] wherein is the amplitude of the error parameter and is the phase of the error parameter ;

[0048] S5. Disconnect the second switch and close the first switch. The system receives the signal :

[0049] ;

[0050] wherein is the amplitude of the received signal and is the phase of the received signal. Calibrate the received signal using the high-sensitivity extremely low-frequency receiver error to obtain the calibrated signal

[0051] .

[0052] Advantages of the present invention

[0053] (1)A brain function composite monitoring system proposed by the present invention effectively overcomes the deficiencies of traditional methods for observing and evaluating the condition, realizes real-time, continuous, and dynamic monitoring of the patient's consciousness state. This system can promptly detect changes in the patient's consciousness state, enabling medical staff to quickly take corresponding intervention measures, improving the patient's survival rate and quality of life, and at the same time reducing the waste of medical resources;

[0054] (2)A brain function composite monitoring system proposed by the present invention can provide comprehensive and accurate patient state information for medical staff, providing scientific data support for the precise formulation of clinical treatment plans, making medical treatment more scientific and efficient, and improving the accuracy of diagnosis and treatment;

[0055] (3)A brain function composite monitoring system proposed by the present invention avoids direct interference with the patient through non-contact dynamic continuous monitoring of consciousness, helps the patient maintain a good rest state, promotes recovery, and is especially suitable for comatose patients, critically ill patients, and special groups not suitable for contact monitoring;

[0056] (4)A brain function composite monitoring system proposed by the present invention adopts non-invasive infrared brain temperature monitoring technology, improving the convenience and dynamics of brain temperature monitoring, achieving comprehensive monitoring coverage of the patient, providing effective support for early disease intervention and precision medicine, and reducing the discomfort and risks brought by invasive monitoring;

[0057] (5)A brain function composite monitoring system proposed by the present invention can intelligently identify subtle changes in the patient's brain state by dynamically monitoring the patient's consciousness state and brain temperature changes and combining big data analysis, providing reliable early warning information for clinicians, helping to take intervention measures in a timely manner, and improving medical safety and treatment efficiency;

[0058] (6)A brain function composite monitoring system proposed by the present invention simultaneously monitors the patient's consciousness level and brain temperature state, can comprehensively evaluate brain function, improve diagnostic accuracy, and optimize the treatment plan. Changes in the consciousness level can reflect the brain's higher cognitive and emotional functions, while abnormal brain temperature may be a signal of imbalance in the brain's physiological state. Comprehensive monitoring helps to detect problems such as craniocerebral injury and neurodegenerative diseases at an early stage, improving the timeliness and accuracy of diagnosis;

[0059] (7)A brain function composite monitoring system proposed by the present invention can provide real-time monitoring data for doctors, facilitating doctors to dynamically adjust the treatment plan according to the patient's condition changes, ensuring the pertinence and effectiveness of treatment measures. For example, in the treatment of patients with craniocerebral injury, if the system detects a decrease in the patient's consciousness level and an increase in brain temperature, the doctor can quickly take cooling measures and adjust the drug dosage to reduce the risk of brain injury, improve the treatment effect, and reduce the incidence of complications. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the attached drawings required for the description of the embodiments. Obviously, the attached drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other attached drawings can also be obtained based on these attached drawings.

[0061] Figure 1 Schematic diagram of the functional module composition of a brain function composite monitoring system proposed by the present invention;

[0062] Figure 2 Optical path design diagram of the infrared and radar co-aperture antenna of a brain function composite monitoring system proposed by the present invention;

[0063] Figure 3 Structural diagram of the self-calibration component of a brain function composite monitoring system proposed by the present invention;

[0064] Figure 4 Schematic diagram of the signal processing module of a brain function composite monitoring system proposed by the present invention;

[0065] Figure 5 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;

[0066] Figure 6 Test schematic diagram of a brain function composite monitoring system proposed by the present invention;

[0067] Figure 7 Flowchart of the calibration algorithm of the high-sensitivity extremely low-frequency receiver of a brain function composite monitoring system proposed by the present invention;

[0068] Figure 8 Schematic diagram of the terminal device of a brain function composite monitoring system proposed by the present invention;

[0069] Figure 9 Schematic diagram of the readable storage medium of a brain function composite monitoring system proposed by the present invention;

[0070] In the figure, 1 - Infrared and radar co-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 mirror, 103 - Secondary mirror, 104 - Zinc sulfide infrared optical objective, 105 - Mirror, 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 - Demodulator, 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 / utilities, 215 - Program module, 220 - Processor, 230 - Bus, 240 - External device, 250 - I / O interface, 260 - Network adapter, 300 - Program product. Detailed implementation mode

[0071] To make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with embodiments and the accompanying drawings. The illustrative embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0072] Embodiment 1

[0073] Reference Figures 1-6 , a brain function composite monitoring system for dynamically and non-contactively monitoring the consciousness state of a patient. This system can receive the brain electrical waves and infrared thermal radiation signals of the patient through the infrared and radar co-aperture antenna 1, and perform data processing in combination with the high-sensitivity extremely low-frequency receiver 202 to achieve a comprehensive evaluation of the patient's consciousness level and brain temperature.

[0074] Reference Figure 1 , this system includes an infrared and radar co-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.

[0075] The infrared and radar co-aperture antenna 1 adopts an integrated design of an optical and radar system, and includes a high-sensitivity extremely low-frequency receiving antenna 101, a primary mirror 102, and a secondary mirror 103, which are used to simultaneously collect the brain electrical waves and infrared thermal radiation data of the patient.

[0076] Among them, there are a zinc sulfide infrared optical objective lens 104, a reflector 105 and an 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 infrared thermal imaging data of the patient and realize the dynamic monitoring of the patient's brain temperature.

[0077] The receiving module 2 includes a self-calibration component 201, a high-sensitivity extremely low-frequency receiver 202 and an infrared detector 203.

[0078] 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 the automatic calibration of the system and improve the accuracy of signal reception.

[0079] The high-sensitivity extremely low-frequency receiver 202 is used to receive and process electroencephalogram signals. It includes a limiter 2021, a low-noise amplifier 2022, a filter 2023 and a demodulator 2024 inside.

[0080] The electronic box 3 is designed with a PXIe bus structure and is composed 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 electroencephalogram and infrared signals. The signal processing board 302 preprocesses the sampled signals. The data processing board 303 performs feature extraction and analysis. The data exchange board 304 is responsible for data transmission between different modules.

[0081] The display control device 4 is used to display the brain function monitoring data of the patient in real time, including electroencephalogram waveforms, infrared thermal imaging data, etc.

[0082] The alarm module 5 can trigger an alarm according to the set abnormal threshold when the patient's consciousness state or brain temperature is abnormal, reminding medical staff to take intervention measures.

[0083] The storage device 6 is used to store the historical monitoring data of the patient, supporting big data analysis and prediction of the disease trend.

[0084] Implementation steps:

[0085] Fix the infrared and radar co-aperture antenna 1 above the patient's hospital bed to ensure that the receiving range of the antenna covers the patient's head area.

[0086] After starting the system, the self-calibration component 201 starts to work, outputs a reference signal through the high-stability extremely low-frequency signal source 2011, and automatically calibrates the system to ensure the receiving accuracy.

[0087] The high-sensitivity extremely low-frequency receiving antenna 101 receives the electroencephalogram signal of the patient and transmits it to the electronic box 3 after being processed by the high-sensitivity extremely low-frequency receiver 202.

[0088] The infrared detector 203 synchronously collects the infrared thermal radiation data of the patient. 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 and converted into an electronic signal for transmission to the electronic box 3.

[0089] The AD board 301 performs analog-to-digital conversion on the received brain wave signals and infrared signals, and the signal processing board 302 filters, denoises, and extracts features from the data.

[0090] The data processing board 303 analyzes the signals to identify changes in the patient's consciousness state and abnormal brain temperature conditions. Through a preset intelligent algorithm, the system can identify the patient's consciousness state and detect whether there are abnormal fluctuations.

[0091] The processed data is presented in real time through the display control device 4, and medical staff can view the patient's brain wave state, infrared thermal imaging data, and related analysis results at any time.

[0092] If the system detects a decrease in the patient's consciousness level or an abnormal increase in brain temperature (e.g., higher than 38.5 °C), the alarm module 5 triggers an alarm to remind medical staff to intervene in a timely manner, such as adjusting the treatment plan, reducing the brain temperature, or performing other medical operations.

[0093] All monitoring data is stored in the storage device 6 for long-term trend analysis to provide data support for optimizing the patient's treatment plan. By combining the historical data of multiple patients, the system can further utilize the big data analysis model to optimize the brain function monitoring algorithm and improve the early warning ability for diseases.

[0094] Embodiment 2

[0095] Based on Embodiment 1, this embodiment proposes a method for improving the measurement accuracy of the high-sensitivity extremely low-frequency receiver 202.

[0096] Reference Figure 7 , this 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:

[0097] 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 as , and output it to the high-sensitivity extremely low-frequency receiver 202, where the transmission signal has a frequency domain expression of:

[0098]

[0099] Where represents the amplitude of the high-stability extremely low-frequency signal source 2011, Indicates the phase of the high-stability extremely low-frequency signal source 2011 and outputs it to the high-sensitivity extremely low-frequency receiver 202;

[0100] S2. Transmitted signal After passing through the second switch 2012, the high-sensitivity extremely low-frequency receiver 202, and the electronic box 3, the signal received by the system is :

[0101]

[0102] Where is the amplitude of the received signal, indicates the phase of the received signal;

[0103] S3. Calculate the amplitude change and phase shift of the received signal relative to the transmitted signal , that is, calibrate the total error of the link passing through the second switch 2012 and the high-sensitivity extremely low-frequency receiver 202 :

[0104]

[0105] Where represents the amplitude of the error , represents the phase of the error ;

[0106] S4. Use the calibrated error parameters of the first switch 2013 , the error parameters of the second switch 2012 , and combine to perform vector operation correction to obtain the error of the high-sensitivity extremely low-frequency receiver 202;

[0107]

[0108] The error parameter of the second switch 2012 is:

[0109] ;

[0110] Where is the amplitude of the error parameter , is the phase of the error parameter ;

[0111] The error parameter of the first switch 2013 is:

[0112] ;

[0113] wherein is the error parameter amplitude, is the error parameter phase;

[0114] S5. Disconnect the second switch 2012 and close the first switch 2013. The system receives the signal :

[0115] ;

[0116] wherein is the amplitude of the received signal, is the phase of the received signal. For the received signal use the high-sensitivity extremely low-frequency receiver 202 error to perform calibration to obtain the calibrated signal :

[0117] .

[0118] Embodiment 3

[0119] Referring to Figure 8 , based on Embodiment 1, this embodiment 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.

[0120] The memory 210 may include a readable medium in the form of a volatile memory, such as RAM 211 and / or cache memory 212, and may further include ROM 213.

[0121] Wherein, the memory 210 further 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 applications of a brain function composite monitoring system in the embodiments of the present application. The specific implementation manner is the same as the implementation manner and the achieved technical effects recorded in the embodiments of the above applications, and some contents will not be described in detail. The memory 210 may further include a program / utilities 214 having a set (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 or some combination of these examples may include the implementation of a network environment.

[0122] Correspondingly, the processor 220 can execute the above computer program and can also execute the program / utilities 214.

[0123] The bus 230 can represent one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of the various bus structures.

[0124] The terminal device 200 can also communicate with one or more external devices 240 such as a keyboard, a pointing device, a Bluetooth device, etc., and can also communicate with one or more devices capable of interacting 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 can be carried out through the I / O interface 250. Moreover, the terminal device 200 can 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 the network adapter 260. The network adapter 260 can communicate with other modules of the terminal device 200 through the bus 230. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination 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.

[0125] Embodiment 4

[0126] Reference Figure 9 , this embodiment provides a readable storage medium of a brain function composite monitoring system. Instructions are stored on the computer-readable storage medium, and when the instructions are executed by a processor, the specific implementation manners of any of the above brain function composite monitoring systems are the same as the implementation manners and the achieved technical effects recorded in the embodiments of the above application, and some contents will not be elaborated here.

[0127] Figure 9Fig. 0 shows a program product 300 provided by this embodiment for implementing the above application. It can be a portable compact disc read-only memory (CD-ROM), including program code, and can 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 that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component. The program product 300 can adopt any combination of one or more readable media. The readable media 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 component, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection with one or more wires, a portable disc, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0128] The computer-readable storage medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries the readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium can also be any readable medium other than the readable storage medium, and this readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or component. The program code contained on the readable storage medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination of the above. The program code for performing the operations of the present invention can be written in any combination of one or more programming languages. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, executed as an independent software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, by using an Internet service provider to connect through the Internet).

[0129] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended 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; An alarm module is used to send out a warning signal when abnormal vital signs or consciousness state of the monitored object is detected; 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.

2. 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 the signal processing module.

3. 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.

4. 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.

5. 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.

6. 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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