Blood flow simulation system and bandaging training system
By designing a blood flow simulation system and bandaging training system, simulating the human blood vessel network and bleeding situation, the problem of medical staff being difficult to truly simulate bleeding and bandaging during bandaging training is solved, and a more realistic bandaging training environment is achieved and the training effect is improved.
Patent Information
- Application Number
- CN202411903646.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-03-14
AI Technical Summary
When students in medical schools conduct bandaging training, they are unable to directly use the patient as training targets, making it difficult to truly simulate the bleeding situation and bandage treatment methods, resulting in poor training results.
A blood flow simulation system and bandage training system were designed to simulate the bleeding of different populations and wounds by constructing human vascular models and blood flow simulation models, and combined with the injury simulation model and information input module, real simulation and evaluation of the bandage process are achieved.
The system can more realistically simulate bleeding in different groups and wounds, and provide a real bandaging training environment to help medical staff improve training results and skills.
Smart Images
Figure CN119626078A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of blood simulation, and in particular to a blood flow simulation system and a bandaging training system. Background Art
[0002] During hospitalization, hemostatic bandage is used for patients who are injured and have external trauma accompanied by bleeding. Since the pressure at the wound is lower than the pressure in the blood vessels, the blood will continue to flow outward. At this time, it is necessary to wrap bandages or other objects on the wound to provide a certain pressure to achieve the purpose of hemostasis. Medical students cannot directly use patients as training objects when learning medical bandages. It is difficult to link the degree of bleeding and the bandaging treatment method during the bandaging process, and there is often poor training. Summary of the invention
[0003] In view of the above-mentioned deficiencies in the prior art, the present invention aims to provide a blood flow simulation system and a bandaging training system to achieve real bleeding simulation of different groups of people and wounds, thereby facilitating training on wound bandaging.
[0004] In order to solve the above problems, the present invention adopts the following technical solutions: In one aspect, the present invention provides a blood flow simulation system, comprising a human blood vessel model construction module, a blood flow simulation model construction module and a final blood flow simulation model construction module; The human vascular model building module is used to build a preliminary human vascular model based on the human vascular network, and integrate the blood vessels according to the aorta, main arterial branches and capillary network branches in the preliminary human vascular model to form a human vascular model; The blood flow simulation model construction module is used to construct a blood flow simulation model based on a human blood vessel model by using Poiseuille flow to simulate the flow of blood in each blood vessel in the human blood vessel model; The final blood flow simulation model construction module is used to collect human blood flow related data, train a neural network model, use the trained neural network model to predict blood flow indicators of different groups of people, input the blood flow indicators of different groups of people into the blood flow simulation model, and obtain the final blood flow simulation model.
[0005] As an implementation method, the large arteries include the aorta, aortic arch, clavicular artery, common carotid artery, thoracic aorta, celiac trunk and iliac artery; the main arterial branches include the hepatic artery, gastric artery, splenic artery, mesenteric artery and renal artery; the capillary network branches include arterioles.
[0006] As an implementable embodiment, constructing the blood flow simulation model includes: Poiseuille flow is used to simulate the flow of blood in each blood vessel in the human vascular model:
[0007] in, The blood flow through a certain blood vessel. is the pressure difference between adjacent blood vessels, is blood viscosity, is the vessel radius, is the vessel length; By simulating cardiac output flow, the flow and pressure of the aorta, main arterial branches, and capillary network branches are obtained.
[0008] As an implementable method, the collecting of human blood flow related data, training of a neural network model, and using the trained neural network model to predict blood flow indicators of different populations include: Collect human blood flow related data, including age, gender, height, weight, IBM, body fat, disease condition, ambient temperature, body temperature, heart rate, vascular pressure, and blood viscosity, train the neural network model, and predict vascular pressure and blood viscosity by inputting human age, gender, height, weight, IBM, body fat or disease condition.
[0009] In a second aspect, the present invention provides a bleeding simulation system, comprising the blood flow simulation system and the injury simulation model; The injury simulation model comprises a human body simulation model, a vascular network is constructed in the human body simulation model according to the human body vascular model, a blood storage chamber is provided in the vascular network to simulate the position of the heart, a pressurizer is provided in the blood storage chamber, a blood flow electric valve and a blood flow detection flowmeter are provided at the connection between the blood storage chamber and the blood vessel, a key wound is provided on the human body simulation model, a pressure sensor is provided at the key wound, a bleeding port is provided at the blood vessel at the key wound, and a bleeding control electric valve and a bleeding flowmeter are provided in the bleeding port; The bleeding simulation system receives input population information and wound information of injured people to be simulated, and the blood flow simulation system constructs a blood flow simulation model through the population information. The blood flow simulation system transmits blood flow parameters to the injury simulation model, and the injury simulation model calculates the working parameters of the pressurizer and the blood flow electric valve according to the blood flow parameters; the injury simulation model calculates the bleeding volume and bleeding flow rate of the bleeding port according to the wound information and the blood flow parameters, and controls the opening of the bleeding control electric valve according to the bleeding volume and bleeding flow rate of the bleeding port.
[0010] As an implementable embodiment, the wound information includes the depth, length and width of the wound, and the damaged blood vessels and the degree of damage are obtained through the wound information, and the opening of the bleeding control electric valve is determined according to the damaged blood vessels and the degree of damage.
[0011] As an implementable method, determining the opening of the bleeding control electric valve according to the damaged blood vessel and the degree of damage includes: Calculate the amount of bleeding M according to the damaged blood vessels and the extent of the damage: , Wherein, Q is the blood flow of the damaged blood vessel, A is the damaged cross-sectional area of the damaged blood vessel, S is the cross-sectional area of the damaged blood vessel, and t is the bleeding time.
[0012] As an implementable embodiment, the key wound is a wound simulation component formed according to different wound types, the wound simulation component is movably arranged in the key wound opening on the human body simulation model, the simulated wound of the wound simulation component is connected to the bleeding port, and a pressure sensor is arranged on the surface of the wound simulation component.
[0013] In a third aspect, the present invention provides a bandaging training system, comprising the bleeding simulation system, and also comprising an information input module; The information input module is used for the trainer to input the crowd information and wound information of the simulated injured crowd; The bleeding simulation system is used to simulate bleeding conditions on the injury simulation model according to the input population information and wound information of the simulated injured population.
[0014] As an implementable embodiment, it also includes an evaluation module; the evaluation module is used to compare the data recorded by the bleeding flow meter and the pressure sensor at the key wound during the bandaging process implemented by the training personnel with the data generated by the standard bandaging of this type of wound, so as to obtain a bandaging evaluation score.
[0015] The beneficial effect of the present invention is that through the simulation of the human vascular network, bleeding simulation of different groups of people and wounds can be achieved, providing a more realistic bandaging training system for medical staff. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 Schematic diagram of the blood flow simulation system of the present invention.
[0017] Figure 2 This is a schematic diagram of the integration of the human vascular network of the present invention. DETAILED DESCRIPTION
[0018] The present invention is further described in detail below in conjunction with specific embodiments.
[0019] It should be noted that these embodiments are only used to illustrate the present invention rather than to limit the present invention. Simple improvements to the method based on the concept of the present invention all fall within the scope of protection claimed by the present invention.
[0020] Example 1 See also Figure 1 , is a blood flow simulation system, comprising a human blood vessel model construction module 100, a blood flow simulation model construction module 200 and a final blood flow simulation model construction module 300; The human vascular model construction module 100 is used to construct a preliminary human vascular model based on the human vascular network, and integrate the blood vessels in the preliminary human vascular model according to the aorta, main arterial branches and capillary network branches to form a human vascular model.
[0021] See also Figure 2 The large arteries include the aorta, aortic arch, clavicular artery, common carotid artery, thoracic aorta, celiac trunk and iliac artery; the main arterial branches include the hepatic artery, gastric artery, splenic artery, mesenteric artery and renal artery; the capillary network branches include small arteries.
[0022] The human vascular network is divided into 22 groups, including 1-ascending aorta and aortic arch, 2-brachiocephalic trunk, 3-left common carotid artery, 4-upper limb capillary network, 5-thoracic and abdominal aorta, 6-mesenteric artery and capillary network, 7-splenic artery and capillary network, 8-common hepatic artery, 9, 21-renal artery, 10, 22-renal capillary network, 11-common iliac artery connected to femoral artery, 12-popliteal artery, pedal artery and lower limb capillary network, 13-right common carotid artery, 14-head and neck capillary network, 15-superior vena cava, 16-inferior vena cava, 17-hepatic capillary network, 18-portal vein, 19-gastric artery and capillary network, 20-celiac trunk.
[0023] The blood flow simulation model building module 200 is used to build a blood flow simulation model based on the human blood vessel model by using Poiseuille flow to simulate the flow of blood in each blood vessel in the human blood vessel model.
[0024] Poiseuille flow is used to simulate the flow of blood in each blood vessel in the human vascular model:
[0025] in, The blood flow through a certain blood vessel. is the pressure difference between adjacent blood vessels, is blood viscosity, is the vessel radius, is the vessel length; By simulating cardiac output flow, the flow and pressure of the aorta, main arterial branches, and capillary network branches are obtained.
[0026] The blood flow simulation model can be built according to the following blood vessel lengths and intravascular pressures of the relevant blood vessels: Aorta (40.00cm, 100.0mmHg), large arteries (20.00cm, 97.0mmHg), main arterial branches (10.00cm, 92.7mmHg), terminal branches (1.00cm, 79.8mmHg), arterioles (0.35cm, 76.5mmHg), arterioles (0.09cm, 55.6mmHg), capillaries (0.02cm, 25.1mmHg), post-capillary veins (0.02cm, 4.5mmHg), venules (0.01cm, 4.1mmHg), venules (0.34cm, 3.8mmHg), main venous branches (10.00cm, 2.1mmHg), large veins (20.00cm, 1.7mmHg), vena cava (40.00cm, 1.3mmHg).
[0027] Specifically, the lengths and diameters of the 22 groups of blood vessels are: 1- ascending aorta and aortic arch (13 cm, 1 cm), 2- brachiocephalic trunk (20 cm, 0.57 cm), 3- left common carotid artery (31 cm, 0.33 cm), 4- capillary network of upper limbs (10.83 cm, 0.21 cm), 5- thoracic and abdominal aorta (20 cm, 0.83 cm), 6- mesenteric artery and capillary network (11.46 cm, 0.20 cm), 7- splenic artery and capillary network (1.46 cm, 0.1 cm), 8- common hepatic artery (1.44 cm, 0.11 cm), 9- 21- renal artery (21.83 cm, 0.27 cm), 10- 22- renal capillary network (21.83 cm, 0.27 cm). 0.26cm), 11-common iliac artery connected to femoral artery (31cm, 0.33cm), 12-popliteal artery, pedal artery and capillary network of lower limbs (11cm, 0.26cm), 13-right common carotid artery (11cm, 0.26cm), 14-capillary network of head and neck (10.83cm, 0.21cm), 15-superior vena cava (60cm, 0.97cm), 16-inferior vena cava (60cm, 1.19cm), 17-hepatic capillary network (10.37cm, 0.33cm), 18-portal vein (8cm, 0.95cm), 19-gastric artery and capillary network (1.46cm, 0.1cm), 20-celiac trunk (10cm, 0.44cm).
[0028] The final blood flow simulation model construction module 300 is used to collect human blood flow related data, train a neural network model, use the trained neural network model to predict blood flow indicators of different populations, input the blood flow indicators of different populations into the blood flow simulation model, and obtain the final blood flow simulation model.
[0029] Specifically, human blood flow-related data can be collected, including but not limited to age, gender, height, weight, IBM, body fat, medical condition, ambient temperature, body temperature, heart rate, vascular pressure, and blood viscosity, and a neural network model can be trained to predict vascular pressure and blood viscosity by inputting human age, gender, height, weight, IBM, body fat or medical condition.
[0030] Example 2 A bleeding simulation system, comprising the above-mentioned blood flow simulation system and an injury simulation model; The injury simulation model includes a human body simulation model, in which a vascular network is constructed according to the above-mentioned human body vascular model, a blood storage chamber is provided at the position simulating the heart in the vascular network, a pressurizer is arranged in the blood storage chamber, a blood flow electric valve (used to control the blood flow of each blood vessel connected to the heart) and a blood flow detection flowmeter are arranged at the connection between the blood storage chamber and the blood vessel, a key wound is arranged on the human body simulation model, a pressure sensor is arranged at the key wound (used to detect the pressure at or near the wound during bandaging), a bleeding port is arranged at the blood vessel at the key wound, a bleeding control electric valve and a bleeding flowmeter are arranged in the bleeding port (the bleeding situation can be obtained according to the bleeding flowmeter, which can be used to determine whether the bandaging is successful).
[0031] The key wound can be set according to different parts to simulate bleeding of wounds in different parts. The key wound is a wound simulation component formed according to different wound types. The wound simulation component is movably arranged in the key wound opening on the human body simulation model. The simulated wound of the wound simulation component is connected to the bleeding port, and a pressure sensor is arranged on the surface of the wound simulation component. After the bleeding simulation, the wound simulation component can be removed and cleaned or replaced for easy cleaning or maintenance. The wound simulation component can be made of materials similar to the human body, such as silicone.
[0032] The bleeding simulation system receives input population information and wound information of the injured population to be simulated, the blood flow simulation system constructs a blood flow simulation model through the population information, the blood flow simulation system transmits the blood flow parameters to the injury simulation model, the injury simulation model calculates the working parameters of the pressurizer and the blood flow electric valve according to the blood flow parameters; the injury simulation model calculates the bleeding volume and bleeding flow rate of the bleeding port according to the wound information and the blood flow parameters, and controls the opening of the bleeding control electric valve according to the bleeding volume and bleeding flow rate of the bleeding port.
[0033] The wound information includes the depth, length and width of the wound. The damaged blood vessels and the degree of damage are obtained through the wound information, and the opening of the bleeding control electric valve is determined through the damaged blood vessels and the degree of damage.
[0034] The opening of the bleeding control electric valve is determined by the damaged blood vessels and the extent of the damage, including: Calculate the amount of bleeding M according to the damaged blood vessels and the extent of the damage: , Wherein, Q is the blood flow of the damaged blood vessel, A is the damaged cross-sectional area of the damaged blood vessel, S is the cross-sectional area of the damaged blood vessel, and t is the bleeding time.
[0035] Example 3 A bandaging training system comprises the above-mentioned bleeding simulation system and an information input module.
[0036] The information input module is used for trainers to input crowd information and wound information of simulated injured people.
[0037] The bleeding simulation system is used to simulate bleeding on the injury simulation model according to the input of the simulated injured population information and wound information. According to the set wound information, for example, the leg is 1cm deep and 2cm long, the appropriate wound simulation component is selected according to the wound condition and set at the leg position on the corresponding human injury simulation model.
[0038] It also includes an evaluation module; the evaluation module is used to compare the data recorded by the bleeding flow meter and the pressure sensor at the key wound during the bandaging process of the trainer with the data generated by the standard bandage of this type of wound to obtain a bandage evaluation score. The data generated by the standard bandage of this type of wound can be data obtained by bandaging according to certain specific population information and wound information through standard specifications, or it can be fitting data based on the data obtained by bandaging according to the aforementioned standard specifications, etc.
[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described with reference to the preferred embodiments of the present invention, it should be understood by those skilled in the art that various changes may be made in form and details without departing from the spirit and scope of the present invention as defined in the appended claims.
Claims
1. A blood flow simulation system, characterized in that: It includes a human blood vessel model building module, a blood flow simulation model building module and a final blood flow simulation model building module; The human vascular model building module is used to build a preliminary human vascular model based on the human vascular network, and integrate the blood vessels according to the aorta, main arterial branches and capillary network branches in the preliminary human vascular model to form a human vascular model; The blood flow simulation model construction module is used to construct a blood flow simulation model based on a human blood vessel model by using Poiseuille flow to simulate the flow of blood in each blood vessel in the human blood vessel model; The final blood flow simulation model construction module is used to collect human blood flow related data, train a neural network model, use the trained neural network model to predict blood flow indicators of different groups of people, input the blood flow indicators of different groups of people into the blood flow simulation model, and obtain the final blood flow simulation model.
2. The blood flow simulation system according to claim 1, characterized in that: The large arteries include the aorta, aortic arch, clavicular artery, common carotid artery, thoracic aorta, celiac trunk and iliac artery; the main arterial branches include the hepatic artery, gastric artery, splenic artery, mesenteric artery and renal artery; the capillary network branches include arterioles.
3. The blood flow simulation system according to claim 1, characterized in that: The constructing of the blood flow simulation model comprises: Poiseuille flow is used to simulate the flow of blood in each blood vessel in the human vascular model: in, The blood flow through a certain blood vessel. is the pressure difference between adjacent blood vessels, is blood viscosity, is the vessel radius, is the vessel length; By simulating cardiac output flow, the flow and pressure of the aorta, main arterial branches, and capillary network branches are obtained.
4. The blood flow simulation system according to claim 1, characterized in that: The collecting of human blood flow related data, training of a neural network model, and using the trained neural network model to predict blood flow indicators of different groups of people include: Collect human blood flow related data, including age, gender, height, weight, IBM, body fat, disease condition, ambient temperature, body temperature, heart rate, vascular pressure, and blood viscosity, train the neural network model, and predict vascular pressure and blood viscosity by inputting human age, gender, height, weight, IBM, body fat or disease condition.
5. A bleeding simulation system, characterized in that: Comprising the blood flow simulation system and injury simulation model described in any one of claims 1 to 4; The injury simulation model comprises a human body simulation model, a vascular network is constructed in the human body simulation model according to the human body vascular model, a blood storage chamber is provided in the vascular network to simulate the position of the heart, a pressurizer is provided in the blood storage chamber, a blood flow electric valve and a blood flow detection flowmeter are provided at the connection between the blood storage chamber and the blood vessel, a key wound is provided on the human body simulation model, a pressure sensor is provided at the key wound, a bleeding port is provided at the blood vessel at the key wound, and a bleeding control electric valve and a bleeding flowmeter are provided in the bleeding port; The bleeding simulation system receives input population information and wound information of injured people to be simulated, and the blood flow simulation system constructs a blood flow simulation model through the population information. The blood flow simulation system transmits blood flow parameters to the injury simulation model, and the injury simulation model calculates the working parameters of the pressurizer and the blood flow electric valve according to the blood flow parameters; the injury simulation model calculates the bleeding volume and bleeding flow rate of the bleeding port according to the wound information and the blood flow parameters, and controls the opening of the bleeding control electric valve according to the bleeding volume and bleeding flow rate of the bleeding port.
6. The bleeding simulation system according to claim 5, characterized in that: The wound information includes the depth, length and width of the wound. The damaged blood vessels and the degree of damage are obtained through the wound information, and the opening of the bleeding control electric valve is determined through the damaged blood vessels and the degree of damage.
7. The bleeding simulation system according to claim 6, characterized in that: Determining the opening of the bleeding control electric valve according to the damaged blood vessel and the degree of damage includes: Calculate the amount of bleeding M according to the damaged blood vessels and the extent of the damage: , Wherein, Q is the blood flow of the damaged blood vessel, A is the damaged cross-sectional area of the damaged blood vessel, S is the cross-sectional area of the damaged blood vessel, and t is the bleeding time.
8. The bleeding simulation system according to claim 5, characterized in that: The key wound is a wound simulation component formed according to different wound types. The wound simulation component is movably arranged in the key wound opening on the human body simulation model. The simulated wound of the wound simulation component is connected to the bleeding port, and a pressure sensor is arranged on the surface of the wound simulation component.
9. A bandaging training system, characterized in that: A bleeding simulation system comprising any one of claims 5 to 8, further comprising an information input module; The information input module is used for the trainer to input the crowd information and wound information of the simulated injured crowd; The bleeding simulation system is used to simulate bleeding conditions on the injury simulation model according to the input population information and wound information of the simulated injured population.
10. The bandaging training system according to claim 9, characterized in that: It also includes an evaluation module; the evaluation module is used to compare the data recorded by the bleeding flow meter and the pressure sensor at the key wound during the bandaging process implemented by the trainee with the data generated by the standard bandaging of this type of wound to obtain a bandaging evaluation score.