Venipuncture assisting method and system and related equipment

Abstract

The invention discloses a method and system for assisting venipuncture and related equipment, and relates to the technical field of nursing. The method comprises the following steps: acquiring a subcutaneous vein image of a to-be-identified area; selecting a target vein from all veins in the subcutaneous vein image based on a preset puncture rule, and obtaining size data and feature data of the target vein; determining the model of a puncture tool based on the size data, wherein the puncture tool is used for puncturing the to-be-identified area; determining a puncture path for the target vein based on the feature data and a preset prediction model, wherein the puncture path comprises a puncture point and a needle insertion path; and displaying the target vein, the puncture path and the model of the puncture tool.

Description

Technical Field

[0001] The present invention relates to the field of clinical nursing technology, and in particular to a venipuncture auxiliary method, system and related equipment. Background Art

[0002] Venipuncture is a common clinical procedure. Traditionally, nurses determine the location of the vein by visual inspection or palpation. However, puncture success rates vary widely, influenced by factors such as the patient's vascular condition and the nurse's experience. Vascular conditions vary significantly among patients in clinical practice. Venipuncture requires high skill, experience, and psychological preparation for patients with special circumstances, such as skin diseases, obesity, skin laxity, edema, limb bandaging after surgical trauma, uncooperative infants and young children, dark skin, dialysis, or lymph node dissection that precludes upper limb infusion. Some venous vessels require multiple punctures to be successful, which can easily lead to patient fear of venipuncture and strain the nurse-patient relationship. Failed puncture experiences among nursing students and young nurses can also impact their career development plans.

[0003] This venipuncture aid, similar to glasses, features a wireless camera and projector that project subcutaneous blood vessels onto the back of the patient's hand, making puncture more accurate. Similar to CN 109497948 A, it is bulky and wearing it for extended periods can affect a nurse's image, comfort, and work efficiency.

[0004] CN 215424562 and CN 218652662 disclose a blood vessel puncture assisting mirror and a pair of infrared glasses for superficial vein puncture, respectively. The features of these glasses are that they are compact, easy to carry and convenient to use, but they have no other auxiliary reminder functions for the depth of blood vessel puncture and the selection of puncture tool models. Summary of the Invention

[0005] To address this issue, a venipuncture assistance method, system, and related equipment were proposed. This method, based on signal processing technology that fuses visible and infrared light, exploits the fact that hemoglobin in blood vessels absorbs near-infrared light differently from other tissues. Through visible light projection, the system clearly displays blood vessels, assisting nurses in venipuncture.

[0006] In a first aspect, a venipuncture assisting method is provided, the method comprising: Acquire a subcutaneous vein image of the area to be identified; selecting a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and acquiring size data and feature data of the target vein; Determining a model of a puncture tool based on the size data, wherein the puncture tool is used to puncture the area to be identified; Determining a puncture path for the target vein based on the characteristic data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The target vein, the puncture path and the model of the puncture tool are displayed.

[0007] Optionally, the step of acquiring an image of subcutaneous veins in the area to be identified includes: Acquire imaging data of the area to be identified under different spectra; The imaging data are fused to obtain the subcutaneous vein image.

[0008] Optionally, the step of selecting a target vein from each vein in the subcutaneous vein image based on a preset puncture rule includes: Selecting a vein that meets the length requirement of the preset puncture rule from among the veins in the subcutaneous vein image as a candidate vein; Selecting a vein that meets the diameter requirement of the preset puncture rule from the candidate veins as a candidate vein; A vein that meets the depth requirement of the preset puncture rule is selected from the candidate veins as the target vein.

[0009] Optionally, before the step of determining the puncture path for the target vein based on the characteristic data and a preset prediction model, the method further includes: Acquiring historical feature data of punctured veins and puncture paths of punctured veins in completed venipuncture tasks, and constructing a training set based on the historical feature data and the puncture paths, wherein the historical feature data includes blood flow direction, blood flow rate, and blood vessel wall thickness; The initial prediction model based on the autoregressive algorithm is trained according to the training set, and the trained initial prediction model is used as the preset prediction model.

[0010] Optionally, the step of displaying the target vein, the puncture path, and the model of the puncture tool includes: When the target vein, the puncture path, and the model of the puncture tool are displayed on a display lens of a portable device, the display lens is placed in front of the eyes of a person wearing the portable device; Acquiring first position information of the target vein on the area to be identified; determining a first display position of the target vein on the display lens based on the first position information and the sight direction of the portable device user, and displaying the target vein based on the first display position; Acquiring second position information of the puncture path on the area to be identified; determining a second display position of the puncture path on the display lens based on the second position information and the sight direction of the portable device operator, and displaying the puncture path based on the second display position; A blank area behind the display lens showing the puncture path and the target vein is determined, and the model of the puncture tool is displayed in the blank area.

[0011] Optionally, the step of displaying the target vein, the puncture path, and the model of the puncture tool further includes: Acquiring ambient brightness data of the area where the display lens is located; Based on the ambient brightness data, a display strategy for the target vein, the puncture path, and the model of the puncture tool is set according to preset rules, and the target vein, the puncture path, and the model of the puncture tool are displayed according to the display strategy, wherein the display strategy includes brightness.

[0012] Optionally, it also includes: Acquiring the actual path of the puncture needle when performing venipuncture on the area to be identified, the actual path including the actual puncture point and the actual path; The actual path is matched with the puncture path. When the actual path is inconsistent with the puncture path, an alarm message is generated and displayed.

[0013] Optionally, the method further includes: Acquiring personal information corresponding to the area to be identified, the personal information including a target puncture path of venipunctures completed within a preset time period, the target puncture path including a target puncture point and a target puncture path; Positionally matching the target puncture point with the puncture point; if the target puncture point does not match the puncture point, continuing with the step of displaying the target vein, the puncture path, and the model of the puncture tool; If the target puncture point matches the puncture point, the step of determining the puncture path for the target vein based on the feature data and the preset prediction model is re-executed.

[0014] On the other hand, the present application provides a venipuncture assistance system, comprising: A data acquisition unit, used for acquiring an image of subcutaneous veins in an area to be identified; a vein selection unit, configured to select a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and obtain size data and feature data of the target vein; a tool selection unit, configured to determine a model of a puncture tool based on the size data, the puncture tool being used to puncture the area to be identified; a prediction unit, configured to determine a puncture path for the target vein based on the feature data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The display unit is used to display the target vein, the puncture path and the model of the puncture tool.

[0015] In a third aspect, the present application provides a pair of venipuncture assist glasses, comprising: An image acquisition module, used for acquiring subcutaneous vein images of the area to be identified; a calculation module, configured to select a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and obtain dimension data and feature data of the target vein; determine a model of a puncture tool based on the dimension data, the puncture tool being used to puncture the area to be identified; and determine a puncture path for the target vein based on the feature data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The display module is used to display the target vein, the puncture path and the model of the puncture tool.

[0016] The present application obtains a subcutaneous vein image of an area to be identified; selects a target vein from each vein in the subcutaneous vein image based on a preset puncture rule, and obtains the size data and feature data of the target vein; determines the model of a puncture tool based on the size data, and the puncture tool is used to puncture the area to be identified; determines a puncture path for the target vein based on the feature data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; and displays the target vein, the puncture path, and the model of the puncture tool. The beneficial effect of the present invention is that by displaying the target vein, the puncture path, and the model of the puncture tool, the puncture operator can more intuitively view the patient's vein distribution. Displaying the puncture path and the model of the puncture tool allows for more intuitive observation of the puncture process, ensuring smooth puncture. By determining the model of the puncture tool based on the size data, different models of puncture tools can be selected for different patients, improving the puncture effect, reducing the probability of puncture failure, and enhancing the patient experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0018] in: Figure 1 A flowchart of a venipuncture assistance method according to an embodiment; Figure 2 This is a diagram showing the display results of venipuncture assistance glasses in one embodiment; Figure 3 is a structural block diagram of a venipuncture assistance system in one embodiment; Figure 4 is a structural block diagram of venipuncture assisting glasses in one embodiment; Figure 5 is a structural block diagram of venipuncture assisting glasses in another embodiment from another perspective; Figure 6 A structural block diagram of a portion of the temples of venipuncture assistance glasses according to an embodiment; Figure 7 A structural block diagram of another portion of the temples of venipuncture assisting glasses according to an embodiment; Figure 8 A structural block diagram of a temple adjustment structure for venipuncture-assisted glasses according to an embodiment; Figure 9 is a structural block diagram of a computer device in one embodiment; Figure 10 is a structural block diagram of a computer device in another embodiment; 1. Visible light camera; 2. Near-infrared camera; 3. Power button; 4. Adjustment button; 5. Temple; 6. Frame; 7. Lens; 8. Silicone; 9. Temple frame; 10. Magnetic connection area; 11. Computing chip; 12. Front connector; 13. Projection display; 14. Nose pad; 15. Temple connector; 16. Temple end; 17. Microphone; 18. Temple cable fixing sleeve; 19. Temple cable adjustment block; 20. Temple cable. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0020] The present invention is described in detail below through specific examples.

[0021] See also Figure 1 As shown, Figure 1 A schematic flow chart of a venipuncture assistance method provided in an embodiment of the present invention includes the following steps: S110, acquiring a subcutaneous vein image of the area to be identified; Exemplarily, the subcutaneous vein image can be simply understood as an infrared image of the area to be identified, that is, the area to be identified is irradiated with infrared rays by an infrared emitting device, and the infrared rays reflected back from the area to be identified are received by an infrared receiving device to obtain the subcutaneous vein image of the area to be identified.

[0022] S120, selecting a target vein from each vein in the subcutaneous vein image based on a preset puncture rule, and obtaining size data and feature data of the target vein; Exemplarily, a model such as U-Net based on deep learning is used to identify and extract all veins in the subcutaneous vein image, and then a target vein is selected from all veins based on a preset puncture rule.

[0023] S130: Determine a model of a puncture tool based on the size data, the puncture tool being used to puncture the area to be identified; For example, due to the large individual differences among patients undergoing puncture, different models of puncture tools (needles) are often required during puncture. However, in existing puncture processes, the selection of puncture tools is mostly based on information such as the patient's height and weight, which can easily lead to unreasonable selection of puncture tools. Determining the model of the puncture tool based on the size data can more accurately select the most reasonable puncture tool.

[0024] S140, determining a puncture path for the target vein based on the characteristic data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; For example, a preset prediction model is used to provide medical staff with a puncture path, which facilitates medical staff to perform puncture more quickly and also provides a verification basis (comparison data) for subsequent supervision of the puncture process.

[0025] S150: Display the target vein, the puncture path, and the model of the puncture tool.

[0026] Exemplarily, the process of displaying the target vein, the puncture path, and the model of the puncture tool can send the target vein, the puncture path, and the model of the puncture tool to other devices (such as a mobile phone, a tablet computer, or a medical workstation) for medical staff to view.

[0027] Exemplarily, when the hardware body for executing the venipuncture assistance method is a portable device, it is necessary to display the target vein, the puncture path, and the model of the puncture tool on a display lens of the portable device.

[0028] Specifically, the step of displaying the target vein, the puncture path, and the model of the puncture tool includes: When the target vein, the puncture path, and the model of the puncture tool are displayed on a display lens of a portable device, the display lens is placed in front of the eyes of a person wearing the portable device; Acquiring first position information of the target vein on the area to be identified; determining a first display position of the target vein on the display lens based on the first position information and the sight direction of the portable device user, and displaying the target vein based on the first display position; Acquiring second position information of the puncture path on the area to be identified; determining a second display position of the puncture path on the display lens based on the second position information and the sight direction of the portable device operator, and displaying the puncture path based on the second display position; A blank area behind the display lens showing the puncture path and the target vein is determined, and the model of the puncture tool is displayed in the blank area.

[0029] For example, Figure 2 As shown, the first display position of the target vein on the display lens is determined based on the first position information and the line of sight of the portable device operator, and the target vein is displayed based on the first display position, that is, the target vein and the first position information of the target vein on the area to be identified are in the same line of sight (same line of sight angle), so that when projected according to the line of sight of the medical staff, the target vein is projected on the area to be identified, and similarly, the puncture path is projected on the area to be identified.

[0030] By displaying the target vein, the puncture path and the model of the puncture tool, the puncture operator can more intuitively view the patient's vein distribution, reduce the probability of puncture failure, and at the same time more intuitively observe the puncture process to ensure the smooth progress of the puncture. By determining the model of the puncture tool based on the size data, different models of puncture tools can be selected for different patients, thereby improving the puncture effect and enhancing the patient experience.

[0031] Exemplarily, one display method is: obtaining the relative positional relationship between a virtual object and a real object in a scene; when the relative positional relationship between the virtual object and the real object satisfies a specified condition, adjusting the transparency of a specified part of the virtual object so that the transparency of the specified part is a transparency other than completely opaque; and displaying the real object and the virtual object obtained after the transparency adjustment.

[0032] In a possible implementation, the step of acquiring an image of subcutaneous veins in the area to be identified includes: Acquire imaging data of the area to be identified under different spectra; The imaging data are fused to obtain the subcutaneous vein image.

[0033] For example, since deoxyhemoglobin in veins has a strong absorption effect on light of specific wavelengths (such as infrared light), it is necessary to obtain imaging data of the area to be identified under different spectra (image data obtained under light of different wavelengths). Compared with imaging data under a single spectrum, imaging data under different spectra can form more accurate and clearer vein images.

[0034] Exemplarily, the imaging data under different spectra include imaging data under the visible light spectrum.

[0035] In a possible implementation, the step of selecting a target vein from each vein in the subcutaneous vein image based on a preset puncture rule includes: Selecting a vein that meets the length requirement of the preset puncture rule from among the veins in the subcutaneous vein image as a candidate vein; Selecting a vein that meets the diameter requirement of the preset puncture rule from the candidate veins as a candidate vein; A vein with a depth requirement in the preset puncture rule is selected from the candidate veins as the target vein.

[0036] For example, based on actual puncture operation requirements, a target vein that is easier to puncture is selected from among the veins in the subcutaneous vein image to avoid puncture failure / inability to proceed. Specifically, the actual puncture operation requirements include but are not limited to length requirements, diameter requirements, depth requirements, etc., wherein the depth requirement represents the distance requirement between the vein and the skin epidermis.

[0037] In a possible implementation, before the step of determining the puncture path for the target vein based on the characteristic data and a preset prediction model, the method further includes: Acquiring historical feature data of punctured veins and puncture paths of punctured veins in completed venipuncture tasks, and constructing a training set based on the historical feature data and the puncture paths, wherein the historical feature data includes blood flow direction, blood flow rate, and blood vessel wall thickness; The initial prediction model based on the autoregressive algorithm is trained according to the training set, and the trained initial prediction model is used as the preset prediction model.

[0038] For example, an AI model (an initial prediction model based on an autoregressive algorithm) is used to intelligently generate a puncture path for the target vein, providing medical staff with guidance on puncture work more quickly and improving puncture efficiency.

[0039] In a possible implementation, the step of displaying the target vein, the puncture path, and the model of the puncture tool further includes: Acquiring ambient brightness data of the area where the display lens is located; Based on the ambient brightness data, a display strategy for the target vein, the puncture path, and the model of the puncture tool is set according to preset rules, and the target vein, the puncture path, and the model of the puncture tool are displayed according to the display strategy, wherein the display strategy includes brightness.

[0040] Exemplarily, the brightness of the target vein, the puncture path and the model of the puncture tool is adjusted by the ambient brightness data. The preset rule can be set as follows: when the ambient brightness data is A, the display brightness of the target vein is A+B, the display brightness of the puncture path is A+C, and the display brightness of the model of the puncture tool is A+D.

[0041] More specifically, the display brightness of the puncture path is A+C, which can be understood as the display brightness of the puncture point in the puncture path is A+C1, and the display brightness of the puncture path in the puncture path is A+C2.

[0042] It can ensure that the target vein, the puncture path and the model of the puncture tool are clearly displayed.

[0043] In a possible implementation, the method further includes: Acquiring the actual path of the puncture needle when performing venipuncture on the area to be identified, the actual path including the actual puncture point and the actual path; The actual path is matched with the puncture path. When the actual path is inconsistent with the puncture path, an alarm message is generated and displayed.

[0044] For example, the puncture process is supervised, and when the actual path is inconsistent with the puncture path, an alarm message is generated to detect erroneous operations in time and avoid more serious consequences caused by erroneous operations.

[0045] For example, the needle position is tracked in real time through a computer vision-based target detection algorithm (such as YOLO or OpenCV) to obtain the actual puncture point and the actual path.

[0046] In a possible implementation, the method further includes: Acquiring personal information corresponding to the area to be identified, the personal information including a target puncture path of venipunctures completed within a preset time period, the target puncture path including a target puncture point and a target puncture path; Positionally matching the target puncture point with the puncture point; if the target puncture point does not match the puncture point, continuing with the step of displaying the target vein, the puncture path, and the model of the puncture tool; If the target puncture point matches the puncture point, the step of determining the puncture path for the target vein based on the feature data and the preset prediction model is re-executed.

[0047] For example, it provides dynamic adjustment suggestions based on the patient's age, condition, medication and other information; automatically records the puncture points in the past three days, avoids the nearest puncture points, and protects blood vessels.

[0048] For example, Figure 4-Figure 8 As shown, a pair of venipuncture-assisting glasses specifically includes a visible light camera 1; a near-infrared camera 2; an on / off switch 3; an adjustment button 4; temples 5; a glasses frame 6; glasses lenses 7; silicone 8; a temple outer frame 9; a magnetic connection area 10; a computing chip 11; a front connection block 12; a projection display 13; a nose pad 14; a temple connection block 15; a temple tail 16; a microphone 17; a temple adjustment wire fixing sleeve 18; a temple adjustment wire adjustment block 19; and a temple adjustment wire 20. Specifically, the visible light camera 1 and the near-infrared camera 2 are arranged on the glasses frame 6, and are used to receive the visible light and infrared light reflected by the area to be identified. The computing chip 11 generates an image based on the received visible light and infrared light reflected by the area to be identified, and projects the image to the display 13. The temples 5 are connected to the glasses frame 6 through the front connecting block 12 and the temple connecting block 15 arranged on the glasses frame 6. The glasses frame 6 is embedded with glasses lenses 7. The temples 5 include a temple outer frame 9, silicone 8, and a temple tail 16. The temples 5 are provided with an on / off key 3, an adjustment button 4, a magnetic connection area 10, a computing chip 11 and a microphone 17. The glasses frame 6 is provided with a nose pad 14.

[0049] At the same time, the temple 5 is configured as a length-adjustable structure, specifically comprising a temple adjustment wire fixing sleeve 18 , a temple adjustment wire adjustment block 19 and a temple adjustment wire 20 .

[0050] In one possible implementation, Figure 3 As shown, the present application provides a venipuncture auxiliary system, comprising: The data acquisition unit 201 is used to obtain the subcutaneous vein image of the area to be identified; a vein selection unit 202 for selecting a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and obtaining size data and feature data of the target vein; a tool selection unit 203, configured to determine a model of a puncture tool based on the size data, the puncture tool being used to puncture the area to be identified; A prediction unit 204 is configured to determine a puncture path for the target vein based on the feature data and a preset prediction model, wherein the puncture path includes a puncture point and a needle insertion path; The display unit 205 is used to display the target vein, the puncture path and the model of the puncture tool.

[0051] In one possible embodiment, the present application provides a pair of venipuncture assist glasses, including: An image acquisition module, used for acquiring subcutaneous vein images of the area to be identified; a calculation module, configured to select a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and obtain dimension data and feature data of the target vein; determine a model of a puncture tool based on the dimension data, the puncture tool being used to puncture the area to be identified; and determine a puncture path for the target vein based on the feature data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The display module is used to display the target vein, the puncture path and the model of the puncture tool.

[0052] For example, the computing module may adopt Qualcomm AR series chips, which are well-known for their excellent image signal processor (ISP) and powerful AI computing power, and can support the venipuncture assistance glasses to implement complex image recognition and processing functions.

[0053] For example, to extend the battery life of the venipuncture-assisting glasses, a low-power main control chip is essential. By optimizing power management while ensuring performance, AI glasses can accompany medical staff for longer periods of time. Using an STM32 03ZET6 chip or T-series chip as the main control chip offers the advantages of low power consumption and high cost-effectiveness, ensuring long-term use while still maintaining the necessary computing power and response speed.

[0054] Exemplarily, the image acquisition module may use an ISP chip to process the raw image data captured by the camera and convert it into a clear image that can be used for AI analysis and display. The ISP chip determines the accuracy and speed of vein recognition.

[0055] Exemplarily, the venipuncture assisting glasses may also be equipped with other auxiliary chips, such as a memory chip, a Bluetooth chip, a Wi-Fi chip, etc., to support functions such as data storage and wireless transmission.

[0056] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 9 As shown. The computer device includes a processor, memory, network interface and database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external client via a network connection. When the computer program is executed by the processor, it implements the functions or steps on the service side of a venipuncture assistance method.

[0057] In one embodiment, a computer device is provided. The computer device may be a client, and its internal structure diagram may be as follows: Figure 10As shown. The computer device includes a processor, memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server via a network connection. When executed by the processor, the computer program implements the functions or steps of a client side of a venipuncture assistance method.

[0058] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0059] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0060] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for assisting venipuncture, characterized in that: The method comprises: Acquire a subcutaneous vein image of the area to be identified; selecting a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and acquiring size data and feature data of the target vein; Determining a model of a puncture tool based on the size data, wherein the puncture tool is used to puncture the area to be identified; Determining a puncture path for the target vein based on the characteristic data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The target vein, the puncture path and the model of the puncture tool are displayed.

2. The venipuncture assisting method according to claim 1, characterized in that: The step of obtaining a subcutaneous vein image of the area to be identified includes: Acquire imaging data of the area to be identified under different spectra; The imaging data are fused to obtain the subcutaneous vein image.

3. The venipuncture assisting method according to claim 1, characterized in that: The step of selecting a target vein from each vein in the subcutaneous vein image based on a preset puncture rule includes: Selecting a vein that meets the length requirement of the preset puncture rule from among the veins in the subcutaneous vein image as a candidate vein; Selecting a vein that meets the diameter requirement of the preset puncture rule from the candidate veins as a candidate vein; A vein that meets the depth requirement of the preset puncture rule is selected from the candidate veins as the target vein.

4. The venipuncture assisting method according to claim 1, characterized in that: Before the step of determining the puncture path for the target vein based on the characteristic data and the preset prediction model, the method further includes: Acquiring historical feature data of punctured veins and puncture paths of punctured veins in completed venipuncture tasks, and constructing a training set based on the historical feature data and the puncture paths, wherein the historical feature data includes blood flow direction, blood flow rate, and blood vessel wall thickness; The initial prediction model based on the autoregressive algorithm is trained according to the training set, and the trained initial prediction model is used as the preset prediction model.

5. The venipuncture assisting method according to claim 1, characterized in that: The step of displaying the target vein, the puncture path, and the model of the puncture tool includes: When the target vein, the puncture path, and the model of the puncture tool are displayed on a display lens of a portable device, the display lens is placed in front of the eyes of a person wearing the portable device; Acquiring first position information of the target vein on the area to be identified; determining a first display position of the target vein on the display lens based on the first position information and the sight direction of the portable device user, and displaying the target vein based on the first display position; Acquiring second position information of the puncture path on the area to be identified; determining a second display position of the puncture path on the display lens based on the second position information and the sight direction of the portable device operator, and displaying the puncture path based on the second display position; A blank area behind the display lens showing the puncture path and the target vein is determined, and the model of the puncture tool is displayed in the blank area.

6. The venipuncture assisting method according to claim 5, characterized in that: The step of displaying the target vein, the puncture path, and the model of the puncture tool further includes: Acquiring ambient brightness data of the area where the display lens is located; Based on the ambient brightness data, a display strategy for the target vein, the puncture path, and the model of the puncture tool is set according to preset rules, and the target vein, the puncture path, and the model of the puncture tool are displayed according to the display strategy, wherein the display strategy includes brightness.

7. The venipuncture assisting method according to claim 1, characterized in that: The method further comprises: Acquiring the actual path of the puncture needle when performing venipuncture on the area to be identified, the actual path including the actual puncture point and the actual path; The actual path is matched with the puncture path. When the actual path is inconsistent with the puncture path, an alarm message is generated and displayed.

8. The venipuncture assisting method according to claim 1, characterized in that: The method further comprises: Acquiring personal information corresponding to the area to be identified, the personal information including a target puncture path of venipunctures completed within a preset time period, the target puncture path including a target puncture point and a target puncture path; Positionally matching the target puncture point with the puncture point; if the target puncture point does not match the puncture point, continuing with the step of displaying the target vein, the puncture path, and the model of the puncture tool; If the target puncture point matches the puncture point, the step of determining the puncture path for the target vein based on the feature data and the preset prediction model is re-executed.

9. A venipuncture assisting system, characterized in that: include: A data acquisition unit, used for acquiring an image of subcutaneous veins in an area to be identified; a vein selection unit, configured to select a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and obtain size data and feature data of the target vein; a tool selection unit, configured to determine a model of a puncture tool based on the size data, the puncture tool being used to puncture the area to be identified; a prediction unit, configured to determine a puncture path for the target vein based on the feature data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The display unit is used to display the target vein, the puncture path and the model of the puncture tool.

10. A pair of glasses for assisting venipuncture, characterized in that: include: An image acquisition module, used for acquiring subcutaneous vein images of the area to be identified; a calculation module, configured to select a target vein from among the veins in the subcutaneous vein image based on a preset puncture rule, and obtain dimension data and feature data of the target vein; determine a model of a puncture tool based on the dimension data, the puncture tool being used to puncture the area to be identified; and determine a puncture path for the target vein based on the feature data and a preset prediction model, the puncture path including a puncture point and a needle insertion path; The display module is used to display the target vein, the puncture path and the model of the puncture tool.

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