Intracranial pressure detection system, method and device, controller and storage medium
Through image acquisition and eye detection models, the non-invasiveness and accuracy of intracranial pressure detection in the prior art are solved, and non-invasive and accurate intracranial pressure detection is achieved.
Patent Information
- Application Number
- CN202510389697.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-11-25
- Filing Date
- 2025-03-31
- Publication Date
- 2025-06-03
AI Technical Summary
The methods used in the prior art to evaluate intracranial pressure are mostly invasive methods, which are prone to complications and have limited application scope, making it difficult to achieve non-invasive and accurate intracranial pressure detection.
The eye sampled images of the detection object are collected by the image acquisition device, and the preset eye detection model is used to identify the eye characteristics that reflect intracranial pressure, and the intracranial pressure level value is determined based on these characteristics and the preset mapping relationship.
The non-invasive detection of intracranial brain pressure is achieved, which improves the accuracy and safety of the detection and avoids complications caused by invasive methods.
Smart Images
Figure CN120078396A_ABST
Abstract
Description
Technical Field
[0001] Embodiments of the present disclosure relate to the technical field of medical detection, and more particularly, to an intracranial pressure detection system, method, device, controller, and storage medium. Background Art
[0002] With the rapid development of medical detection technology, for some patients with disorders of consciousness or coma, the intracranial pressure (ICP) in the brain often shows abnormalities, and the specific abnormal values are related to the diagnosis and treatment of the patients. At the same time, the ICP levels of patients at different stages are related to the final prognosis of the patients, which is an important indicator affecting doctors' decisions. However, the most accurate current method for evaluating a patient's ICP is an invasive method, which is prone to complications and has limited application scope. Summary of the Invention
[0003] An object of embodiments of the present disclosure is to provide a new technical solution for intracranial pressure detection.
[0004] According to a first aspect of the present disclosure, there is provided an intracranial pressure detection system, the system including an image acquisition device, a display device, and a controller; wherein the controller is electrically connected to the image acquisition device and the display device respectively; the controller is configured to: in response to an eye sampling image of a detection object output by the image acquisition device; identify, through a preset eye detection model, eye features in the eye sampling image that reflect the intracranial pressure of the detection object; determine, according to the eye features and a preset mapping relationship, the intracranial pressure level value of the detection object; wherein the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; and output the eye sampling image and the intracranial pressure level value to the display device.
[0005] Optionally, the eye features include the edge region of the optic papilla of the eye and the respective widths of the edge region; the controller is further configured to: determine the difference between the average value of the respective widths and the maximum value of the widths; determine, according to a preset first mapping relationship and the difference, the intracranial pressure level value of the detection object; wherein the mapping relationship includes a first mapping relationship, and the first mapping relationship reflects that different differences correspond to different intracranial pressure level values.
[0006] Optionally, the eye features include a first diameter of the fundus artery and a second diameter of the fundus vein; the controller is further configured to: determine, according to the ratio between the first diameter and the second diameter and a preset second mapping relationship, the intracranial pressure level value of the detection object; wherein the mapping relationship includes a second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
[0007] Optionally, the system further includes a protective case and a handheld rod. The image acquisition device is disposed on a first side of the protective case, the display device is disposed on a second side of the protective case, the controller is disposed inside the protective case, and the handheld rod is disposed at the bottom of the protective case.
[0008] According to a second aspect of the present disclosure, there is also provided an intracranial pressure detection method. The intracranial pressure detection method is applied to the intracranial pressure detection system as described in the first aspect. The execution subject of the intracranial pressure detection method is a controller, and the method includes: Responding to an eye sampling image of a detection object output by the image acquisition device; Identifying, through a pre-set eye detection model, eye features in the eye sampling image that reflect the intracranial pressure of the detection object; Determining an intracranial pressure level value of the detection object according to the eye features and a pre-set mapping relationship; wherein, the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; Outputting the eye sampling image and the intracranial pressure level value to the display device.
[0009] Optionally, the eye features include an edge area of the optic papilla of the eye and respective widths of the edge area; The determining the intracranial pressure level value of the detection object according to the eye features and a pre-set mapping relationship includes: Determining a difference between an average value of the respective widths and a maximum or minimum value of the widths; Determining the intracranial pressure level value of the detection object according to a pre-set first mapping relationship and the difference; wherein, the mapping relationship includes the first mapping relationship, and the first mapping relationship reflects that different differences correspond to different intracranial pressure level values.
[0010] Optionally, the eye features include a first diameter of the fundus artery and a second diameter of the fundus vein; The determining the intracranial pressure level value of the detection object according to the eye features and a pre-set mapping relationship includes: Determining the intracranial pressure level value of the detection object according to a ratio between the first diameter and the second diameter and a pre-set second mapping relationship; wherein, the mapping relationship includes the second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
[0011] According to a third aspect of the present disclosure, there is also provided an intracranial pressure detection device, and the device includes: A response module, configured to respond to an eye sampling image of a detection object output by the image acquisition device; An identification module, configured to identify eye features reflecting the intracranial pressure of the detection object in the eye sampling image through a pre-set eye detection model; A determination module, configured to determine a numerical value of the intracranial pressure level of the detection object according to the eye features and a pre-set mapping relationship; wherein, the mapping relationship reflects that different eye features correspond to different intracranial pressure level numerical values; An output module, configured to output the eye sampling image and the numerical value of the intracranial pressure level to the display device.
[0012] According to a fourth aspect of the present disclosure, there is also provided a controller, including a memory and a processor, where the memory is used to store a computer program; the processor is used to execute the computer program to implement the method according to the second aspect of the present disclosure.
[0013] According to a fifth aspect of the present disclosure, there is also provided a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method according to the second aspect of the present disclosure.
[0014] According to a sixth aspect of the present disclosure, there is also provided a computer program product, including a computer program, and the computer program, when executed by a processor, implements the method according to the second aspect of the present disclosure.
[0015] One beneficial effect of the embodiments of the present disclosure is that the intracranial pressure detection system provided by the present invention outputs an eye sampling image of a detection object through an image acquisition device, and then through an eye detection model, identifies eye features reflecting the intracranial pressure of the detection object in the eye sampling image, determines a numerical value of the intracranial pressure level of the detection object according to the eye features and a pre-set mapping relationship, and outputs the eye sampling image and the numerical value of the intracranial pressure level to the display device. In other words, the intracranial pressure detection system identifies eye features and determines the numerical value of the intracranial pressure level through an image acquisition device, and can realize non-invasive intracranial pressure detection on the premise of determining whether the intracranial pressure of the brain is abnormal.
[0016] Through the following detailed description of the exemplary embodiments of the present disclosure with reference to the accompanying drawings, other features and advantages of the embodiments of the present disclosure will become clear. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The accompanying drawings incorporated in the specification and constituting a part of the specification illustrate embodiments of the present disclosure, and together with the description are used to explain the principles of the embodiments of the present disclosure.
[0018] Figure 1It is a schematic structural diagram of an intracranial pressure detection system based on an intracranial pressure detection method according to an embodiment; Figure 2 It is a schematic hardware structure diagram of an intracranial pressure detection system according to an embodiment; Figure 3 It is a schematic flowchart of an intracranial pressure detection method according to an embodiment; Figure 4 It is a schematic block diagram of an intracranial pressure detection device according to an embodiment; Figure 5 It is a schematic hardware structure diagram of a controller according to an embodiment. Detailed implementation manners
[0019] Now, various exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. It should be noted that: Unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and values set forth in these embodiments do not limit the scope of the present invention.
[0020] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way serves as a limitation to the present invention and its application or use.
[0021] Technologies, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods and devices should be regarded as part of the specification.
[0022] In all the examples shown and discussed here, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.
[0023] It should be noted that: Similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.
[0024] <System embodiment> Figure 1 It is a schematic structural diagram of an intracranial pressure detection system capable of applying the intracranial pressure detection method according to an embodiment. As Figure 1 shown, the system includes an image acquisition device 10, a display device 30, and a controller 20.
[0025] Among them, the controller 20 is electrically connected to the image acquisition device 10 and the display device 30 respectively; the controller 20 is configured to: in response to the eye sampling image of the detection object output by the image acquisition device 10; identify the eye features reflecting the intracranial pressure of the detection object in the eye sampling image through a preset eye detection model; determine the intracranial pressure level value of the detection object according to the eye features and the preset mapping relationship; wherein, the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; and output the eye sampling image and the intracranial pressure level value to the display device 30.
[0026] In this embodiment, the image acquisition device 10 is, for example, a camera, and the display device 30 is, for example, a display screen 1.
[0027] In this embodiment, the eye detection model is trained based on the input of a corresponding eye sample set by an artificial intelligence deep learning system (AI-DLS), so that the eye features reflecting the intracranial pressure of the detection object in the eye sampling image can be identified.
[0028] In this embodiment, different intracranial pressure level values can correspond to different degrees of intracranial pressure abnormality, and the intracranial pressure level value can be set manually. For example, the higher the intracranial pressure level value, the more severe the intracranial pressure abnormality.
[0029] In this embodiment, the mapping relationship can also be set manually. By features such as the optic disc condition or the ratio of the retinal arteriovenous reflected by the eye features, the intracranial pressure level value of the detection object is determined.
[0030] In other words, through the eye sampling image of the detection object output by the image acquisition device 10, and then through the eye detection model, the eye features reflecting the intracranial pressure of the detection object in the eye sampling image are identified. According to the eye features and the preset mapping relationship, the intracranial pressure level value of the detection object is determined, and the eye sampling image and the intracranial pressure level value are output to the display device 30. In other words, the intracranial pressure detection system identifies eye features and determines the intracranial pressure level value through the image acquisition device 10, and on the premise of being able to determine whether the intracranial pressure of the brain is abnormal, realizes non-invasive intracranial pressure detection of the brain.
[0031] In some embodiments, the system further includes a touch control device, and the touch control device can be, for example, Figure 2 the physical control 5 as shown. Before the image acquisition device 10 outputs the eye sampling image of the detection object, the user can operate the touch control device, input the patient identification, input the subsequent obtained eye sampling image into a preset database, and store it in association with the patient identification, so as to facilitate subsequent retrieval of all the eye sampling images of the detection object through the patient identification.
[0032] In some embodiments, the eye features include the edge region of the optic papilla of the eye and the respective widths of the edge region; the controller 20 is further configured to: determine the difference between the average value of the respective widths and the maximum and minimum values of the widths; determine the intracranial pressure level value of the detection object according to a preset first mapping relationship and the difference; wherein, the mapping relationship includes a first mapping relationship, and the first mapping relationship reflects that different differences correspond to different intracranial pressure level values.
[0033] In this embodiment, through the eye detection model, a double-ring region in the eye sampling image can be identified, and the centers of the outer ring and the inner ring of the double-ring region are both inside the inner ring. This double-ring region can be regarded as the optic papilla of the eye, and the edge region of the optic papilla is the region between the outer ring and the inner ring. The shortest distance among the connections between each point on an outer ring and a point on the inner ring is used to represent one width of the edge region. According to the widths corresponding to all the points on the outer ring, the difference between the average value and the maximum and minimum values of these widths is determined, and then according to the first mapping relationship and the difference, the intracranial pressure level value of the detection object can be determined. Among them, the mapping relationship can be set manually and is not limited here.
[0034] In other words, by identifying the edge region of the optic papilla of the eye and the respective widths of the edge region and determining the intracranial pressure level value of the detection object, the accuracy of detecting abnormal pressure in the detection field can be effectively improved.
[0035] In some embodiments, the eye features include the first diameter of the fundus artery and the second diameter of the fundus vein; the controller 20 is further configured to: determine the intracranial pressure level value of the detection object according to the ratio between the first diameter and the second diameter and a preset second mapping relationship; wherein, the mapping relationship includes a second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
[0036] In this embodiment, through the eye detection model, irregular line segments of different colors can be identified in the eye sampling image, and the irregular line segments presenting bright red are arteries, and the irregular line segments presenting dark red are veins. By identifying the arteries, the first diameter of the arteries, the veins, and the second diameter of the veins, the ratio between the first diameter and the second diameter is determined, and then according to the second mapping relationship and the ratio, the intracranial pressure level value of the detection object can be determined. Among them, the mapping relationship can be set manually and is not limited here.
[0037] In other words, by identifying the arteries, the first diameter of the arteries, the veins, and the second diameter of the veins and determining the intracranial pressure level value of the detection object, the accuracy of detecting abnormal pressure in the detection field can be effectively improved.
[0038] In some embodiments, such as Figure 2As shown, the system further includes a protective case 2 and a handheld rod 3. The image acquisition device 10 is disposed on the first side of the protective case 2, the display device 30 is disposed on the second side of the protective case 2, the controller 20 is disposed inside the protective case 2, and the handheld rod 3 is disposed at the bottom of the protective case 2.
[0039] In this embodiment, the first side and the second side of the protective case 2 may be opposite sides or adjacent sides, which is not limited herein.
[0040] In this embodiment, as Figure 2 shown, taking the first side and the second side of the protective case 2 as opposite sides as an example, the display screen 1 may be disposed on the first side of the protective case 2 for the user to view the eye sampling image and the intracranial pressure level value. The physical control 5 may also be disposed on the first side of the protective case 2 for the user to input the patient identifier or retrieve the eye sampling image of the patient, etc. A rubber sticker 4 may be installed on the second side of the protective case 2 to provide a relatively enclosed space in front of the image sampling device, so that the image acquisition device 10 can be unaffected by external light and can more accurately detect the eyes of the detection object. The handheld rod 3 is fixed to the bottom of the protective case 2 for the user to grip.
[0041] Applied to the embodiments of the present disclosure, the memory of the controller 20 is used to store a computer program, and the computer program is used to control the processor of the controller 20 to operate to implement the intracranial pressure detection method according to any embodiment. Those skilled in the art can design a computer program according to the solution of the embodiments of the present disclosure. How the computer program controls the processor to operate is well known in the art, so it will not be described in detail herein.
[0042] <Method Embodiment> Figure 3 It is a flowchart of an intracranial pressure detection method according to an embodiment. The implementation subject is, for example, a controller.
[0043] As Figure 3 shown, the intracranial pressure detection method of this embodiment may include the following steps S110 to step S140: Step S110, in response to the eye sampling image of the detection object output by the image acquisition device.
[0044] Step S120, identifying the eye features reflecting the intracranial pressure of the detection object in the eye sampling image through a preset eye detection model.
[0045] Step S130, determining the intracranial pressure level value of the detection object according to the eye features and a preset mapping relationship; wherein, the mapping relationship reflects that different eye features correspond to different intracranial pressure level values.
[0046] In some embodiments, the eye features include the edge region of the optic papilla of the eye and the respective widths of the edge region. Step S130 may include the following steps S1301 and S1302: Step S1301, determining the difference between the average value of the respective widths and the maximum and minimum values of the widths; Step S1302, determining the intracranial pressure level value of the detection object according to the preset first mapping relationship and the difference value; wherein, the mapping relationship includes the first mapping relationship, and the first mapping relationship reflects that different difference values correspond to different intracranial pressure level values.
[0047] In some embodiments, the eye features include the first diameter of the fundus artery and the second diameter of the fundus vein. Step S130 may include the following steps S1303 and S1304: Step S1303, determining the intracranial pressure level value of the detection object according to the ratio between the first diameter and the second diameter and the preset second mapping relationship; wherein, the mapping relationship includes the second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
[0048] Step S140, outputting the eye sampling image and the intracranial pressure level value to the display device.
[0049] <Device Embodiment 1> Figure 4 is a schematic block diagram of an intracranial pressure detection device according to an embodiment. As Figure 4 shown, the intracranial pressure detection device 300 may include: A response module 310, configured to respond to the eye sampling image of the detection object output by the image acquisition device; An identification module 320, configured to identify the eye features reflecting the intracranial pressure of the detection object in the eye sampling image through a preset eye detection model; A determination module 330, configured to determine the intracranial pressure level value of the detection object according to the eye features and the preset mapping relationship; wherein, the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; An output module 340, configured to output the eye sampling image and the intracranial pressure level value to the display device.
[0050] Optionally, the determination module 330 is further configured to determine the difference between the average value of the respective widths and the maximum and minimum values of the widths; determine the intracranial pressure level value of the detection object according to the preset first mapping relationship and the difference value; wherein, the mapping relationship includes the first mapping relationship, and the first mapping relationship reflects that different difference values correspond to different intracranial pressure level values.
[0051] Optionally, the determining module 330 is further configured to determine the intracranial pressure level value of the detection object according to the ratio between the first diameter and the second diameter and a preset second mapping relationship; wherein, the mapping relationship includes the second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
[0052] <Second Embodiment of the Device> Figure 5 It is a schematic hardware structure diagram of a controller according to another embodiment.
[0053] As Figure 5 shown, the controller 400 includes a processor 410 and a memory 420. The memory 420 is used to store executable computer programs, and the processor 410 is used to execute the methods of any of the above method embodiments according to the control of the computer programs.
[0054] Each module of the above intracranial pressure detection device 300 can be implemented by the processor 410 executing the computer programs stored in the memory 420, or can be implemented by other structures, which is not limited herein.
[0055] The present invention can be a system, a method, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for causing a processor to implement various aspects of the present invention.
[0056] The computer-readable storage medium can be a tangible device that can hold and store instructions used by an instruction execution device. The computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of the computer-readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punched card or raised structures in grooves storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage medium used herein is not construed as an instantaneous signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through an optical fiber cable), or electrical signals transmitted through wires.
[0057] The computer-readable program instructions described herein can be downloaded to various computing / processing devices from a computer-readable storage medium or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.
[0058] The computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state-setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider). In some embodiments, by using the state information of the computer-readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer-readable program instructions to implement various aspects of the present invention.
[0059] Aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.
[0060] These computer-readable program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus to produce a machine such that the instructions, when executed by the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in one or more boxes of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises a manufacture, the instructions of which implement various aspects of the functions / acts specified in one or more boxes of the flowchart and / or block diagram.
[0061] The computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, such that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, whereby the instructions executed on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in one or more boxes of the flowchart and / or block diagram.
[0062] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the boxes may occur out of the order noted in the figures. For example, two consecutive boxes may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box of the block diagrams and / or flowcharts, and combinations of boxes in the block diagrams and / or flowcharts, can be implemented by special-purpose hardware-based systems that perform the specified functions or acts, or by combinations of special-purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are equivalent.
[0063] The embodiments of the present invention have been described above. The above description is exemplary and not exhaustive, and is also not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, the practical application, or the improvement of the technology in the market, or to enable other ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present invention is defined by the appended claims.
Claims
1. An intracranial pressure detection system, characterized in that: The system includes an image acquisition device, a display device and a controller; Wherein, the controller is electrically connected to the image acquisition device and the display device respectively; the controller is configured to: respond to an eye sampling image of a detection object output by the image acquisition device; identify eye features reflecting the intracranial pressure of the detection object in the eye sampling image through a preset eye detection model; determine the intracranial pressure level value of the detection object according to the eye features and a preset mapping relationship; wherein the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; and output the eye sampling image and the intracranial pressure level value to the display device.
2. The system according to claim 1, characterized in that The eye features include the edge area of the optic disc and the widths of the edge area; the controller is also configured to: determine the difference between the average value of the widths and the maximum value of the widths; determine the intracranial pressure level value of the detection object based on a preset first mapping relationship and the difference; wherein the mapping relationship includes a first mapping relationship, and the first mapping relationship reflects that different differences correspond to different intracranial pressure level values.
3. The system according to claim 1, characterized in that The eye features include a first diameter of the fundus artery and a second diameter of the fundus vein; the controller is also configured to determine the intracranial pressure level value of the detection object based on a ratio between the first diameter and the second diameter and a preset second mapping relationship; wherein the mapping relationship includes a second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
4. The system according to claim 3, characterized in that The system also includes a protective shell and a hand-held rod, the image acquisition device is arranged on a first side of the protective shell, the display device is arranged on a second side of the protective shell, the controller is arranged in the protective shell, and the hand-held rod is arranged at the bottom of the protective shell.
5. A method for detecting intracranial pressure, characterized in that: The intracranial pressure detection method is applied to the intracranial pressure detection system according to any one of claims 1 to 4, the execution subject of the intracranial pressure detection method is a controller, and the method comprises: In response to the eye sampling image of the detection object output by the image acquisition device; Identifying eye features reflecting the intracranial pressure of the detection object in the eye sampling image through a preset eye detection model; Determine the intracranial pressure level value of the detected object according to the eye feature and the preset mapping relationship; wherein the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; The eye sampling image and the intracranial pressure level value are output to the display device.
6. The method according to claim 3, characterized in that The eye features include the edge area of the optic disc and the widths of the edge area; Determining the intracranial pressure level value of the detection object according to the eye feature and the preset mapping relationship includes: Determine the difference between the average of the widths and the maximum of the widths; The intracranial pressure level value of the detection object is determined according to a preset first mapping relationship and the difference; wherein the mapping relationship includes a first mapping relationship, and the first mapping relationship reflects that different differences correspond to different intracranial pressure level values.
7. The method according to claim 3, characterized in that The ocular features include a first diameter of an optic artery and a second diameter of an optic vein; Determining the intracranial pressure level value of the detection object according to the eye feature and the preset mapping relationship includes: The intracranial pressure level value of the detection object is determined according to the ratio between the first diameter and the second diameter and a preset second mapping relationship; wherein the mapping relationship includes a second mapping relationship, and the second mapping relationship reflects that different ratios correspond to different intracranial pressure level values.
8. An intracranial pressure detection device, characterized in that: The device comprises: A response module, used to respond to the eye sampling image of the detection object output by the image acquisition device; An identification module, used to identify eye features reflecting the intracranial pressure of the detection object in the eye sampling image by using a preset eye detection model; A determination module, used to determine the intracranial pressure level value of the detection object according to the eye feature and a preset mapping relationship; wherein the mapping relationship reflects that different eye features correspond to different intracranial pressure level values; An output module is used to output the eye sampling image and the intracranial pressure level value to the display device.
9. A controller, characterized in that: The invention comprises a memory and a processor, wherein the memory is used to store a computer program; and the processor is used to execute the computer program to implement the method according to any one of claims 5 to 7.
10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program, which, when executed by a processor, implements the method according to any one of claims 5 to 7.