A pressure detection method and system for kidney perfusion pressurization

Abstract

The present application discloses a pressure detection method and system for kidney water injection and pressurization. The method includes obtaining the medical history allergy information of the patient to be tested, determining whether the patient to be tested can undergo kidney water injection based on the medical history allergy information of the patient to be tested, and outputting a kidney water injection permission result if the patient can undergo kidney water injection; analyzing the influence of historical diseases on the kidney water injection of the patient to be tested based on the medical history allergy information of the patient to be tested to obtain a historical disease influence coefficient ALB; obtaining the physical and living characteristic information of the patient to be tested, and analyzing the influence of the patient's own body and lifestyle on the kidney water injection of the patient to be tested based on the physical and living characteristic information of the patient to be tested to obtain a physical and living characteristic influence coefficient ORC; obtaining the water injection pressure for the kidney of the patient to be tested based on the historical disease influence coefficient ALB and the physical and living characteristic influence coefficient ORC. The present application has the effect of improving the accuracy of pressure detection for kidney water injection and pressurization.

Description

Technical Field

[0001] The present application relates to the technical field of pressure detection, and particularly relates to a pressure detection method and system for kidney perfusion pressurization. Background Art

[0002] Currently, kidney perfusion refers to a medical examination method that uses a contrast agent to observe the structure and function of the kidneys. The contrast agent is injected into the blood through intravenous injection and then filtered by the kidneys. Through X-rays or other imaging techniques, the morphology and blood flow of the kidneys can be clearly seen. Through kidney perfusion, the morphology and function of the kidneys can be observed, and doctors can diagnose various kidney diseases, such as kidney stones, renal cysts, nephritis, renal vascular diseases, etc. When the kidney perfusion pressure is too high, it will cause adverse effects such as kidney damage, hematuria, bacterial infection, and contrast agent extravasation. When the kidney perfusion pressure is too low, it will cause adverse effects such as poor imaging effect or the need for the patient to undergo re-examination. Therefore, it is crucial to perform pressure detection during kidney perfusion pressurization.

[0003] The commonly used method for pressure detection during existing kidney perfusion pressurization is to perform renal artery pressure detection. Renal artery pressure detection refers to placing a catheter in the renal artery and real-time monitoring of the renal artery pressure through the catheter to measure the blood flow pressure of the kidneys. However, when performing renal artery pressure detection, the renal artery pressure is affected by many factors, such as the patient's body position, respiratory state, blood pressure, etc., and the accuracy is relatively low, and there is room for improvement. Summary of the Invention

[0004] In order to improve the accuracy of pressure detection for kidney perfusion pressurization, the present application provides a pressure detection method and system for kidney perfusion pressurization.

[0005] In a first aspect, a pressure detection method for kidney perfusion pressurization provided by the present application adopts the following technical solution:

[0006] A pressure detection method for kidney perfusion pressurization includes:

[0007] Obtain the medical history allergy information of the patient to be tested, and based on the medical history allergy information of the patient to be tested, determine whether the patient to be tested can undergo kidney perfusion. If the patient can undergo kidney perfusion, output a kidney perfusion permission result;

[0008] Analyze the influence of historical diseases on the kidney perfusion of the patient to be tested based on the medical history allergy information of the patient to be tested to obtain a historical disease influence coefficient ALB;

[0009] Obtain the physical and lifestyle characteristic information of the patient to be tested, and analyze the influence of the patient's own body and lifestyle on the kidney perfusion of the patient to be tested based on the physical and lifestyle characteristic information of the patient to be tested to obtain a physical and lifestyle characteristic influence coefficient ORC;

[0010] Obtain the perfusion pressure for perfusing the kidney of the patient to be tested based on the historical disease impact coefficient ALB and the physical life characteristic impact coefficient ORC;

[0011] Determine the perfusion volume for perfusing the kidney of the patient to be tested based on the physical life characteristic information of the patient to be tested, and determine the perfusion speed for perfusing the kidney of the patient to be tested based on the perfusion pressure for perfusing the kidney of the patient to be tested;

[0012] Determine the imaging waiting time of the patient to be tested based on the perfusion volume for perfusing the kidney of the patient to be tested and the perfusion speed for perfusing the kidney of the patient to be tested, and perform an imaging examination on the patient to be tested based on the imaging waiting time.

[0013] Preferably, obtain the medical history allergy information of the patient to be tested, where the medical history allergy information of the patient to be tested includes historical medical history information and allergen information, and perform cache processing on the historical medical history information and the allergen information;

[0014] Judge whether the patient to be tested has a kidney perfusion experience based on the historical medical history information. If there is a kidney perfusion experience, output the historical kidney perfusion result;

[0015] Judge whether the patient to be tested is allergic to the aqueous solution for kidney perfusion based on the allergen information. If the patient to be tested is allergic to the aqueous solution for kidney perfusion, output the aqueous solution allergy information. If the patient to be tested is not allergic to the aqueous solution for kidney perfusion, output the aqueous solution immunity information;

[0016] Obtain an allow judgment logic OR gate and establish a signal connection link between the allow judgment logic OR gate and the patient to be tested;

[0017] When the allow judgment logic OR gate receives the historical kidney perfusion result or the aqueous solution immunity information, output the kidney perfusion allow result.

[0018] Preferably, based on the historical medical history information of the patient to be tested, the historical medical history information includes historical disease type and historical disease severity;

[0019] Judge whether the historical disease type affects the vascular elasticity of the patient based on the historical disease type of the patient to be tested. If the historical disease type of the patient to be tested will affect the vascular elasticity of the patient to be tested, obtain a disease vascular elasticity impact comparison table, where the disease vascular elasticity impact comparison table includes the impact coefficients of different diseases on blood vessel types, and find the impact of the historical disease type of the patient to be tested on vascular elasticity based on the disease vascular elasticity impact comparison table to obtain the historical disease type impact coefficient AL;

[0020] If the historical disease type of the patient to be tested affects the vascular elasticity of the patient to be tested, then based on the historical degree of illness of the patient to be tested, the influence of the historical degree of illness on the vascular elasticity of the patient to be tested is judged to obtain the historical degree of illness influence coefficient AC, where the historical degree of illness influence coefficient AC is positively correlated with the historical degree of illness of the patient to be tested;

[0021] Based on the comprehensive historical disease type influence coefficient AL and the historical degree of illness influence coefficient AC, the historical disease influence coefficient ALB is calculated based on the historical disease function ALB = a1×AL + a2×AC, where a1 and a2 are proportionality factors and are both greater than 0.

[0022] Preferably, obtain the physical and living characteristic information of the patient to be tested. The physical and living information of the patient to be tested includes physical characteristic information and living characteristic information, and store the physical characteristic information and the living characteristic information;

[0023] Based on the physical characteristic information of the patient to be tested, analyze the influence of the patient's own physical condition on the vascular elasticity to obtain the physical characteristic influence coefficient BER;

[0024] Based on the living characteristic information of the patient to be tested, analyze the influence of the patient's lifestyle on the vascular elasticity to obtain the living characteristic influence coefficient CEQ;

[0025] Based on the comprehensive physical characteristic influence coefficient BER and the living characteristic influence coefficient CEQ, the physical and living characteristic influence coefficient ORC is calculated based on the characteristic function ORC = ω1×BER + ω2×CEQ, where ω1 and ω2 are proportionality factors and are both greater than 0.

[0026] Preferably, the physical characteristic information includes age information, body fat percentage information, and blood pressure information;

[0027] Based on the age information, analyze the influence of the age of the patient to be tested on the vascular elasticity to obtain the age influence coefficient BN, where the age influence coefficient BN is positively correlated with the age information of the patient to be tested;

[0028] Based on the body fat percentage information, analyze the influence of the body fat percentage of the patient to be tested on the vascular elasticity to obtain the body fat percentage influence coefficient BZ, where the body fat percentage influence coefficient BZ is positively correlated with the body fat percentage information;

[0029] Compare the blood pressure information with the preset blood pressure threshold information. If the blood pressure information does not exceed the preset blood pressure threshold information, then output the blood pressure influence coefficient BX and the blood pressure influence coefficient BX is 0. If the blood pressure information exceeds the preset blood pressure threshold information, then calculate the difference between the blood pressure information and the blood pressure threshold information to obtain the blood pressure difference information, and obtain the blood pressure influence coefficient BX based on the blood pressure difference information, where the blood pressure influence coefficient BX is positively correlated with the blood pressure difference information;

[0030] Combining the age impact coefficient BN, the body fat percentage impact coefficient BZ, and the blood pressure impact coefficient BX, the body characteristic impact coefficient BER is calculated based on the body characteristic function BER = b1×BN + b2×BZ + b3×BX, where b1, b2, and b3 are proportionality factors and are all greater than 0.

[0031] Preferably, the life characteristic information includes smoking information, diet information, and exercise information;

[0032] The smoking information includes the smoking age information and the smoking frequency information. Based on the smoking age information and the smoking frequency information, the impact of the smoking situation of the patient to be tested on blood vessel elasticity is analyzed to obtain the smoking impact coefficient CX, where the smoking age information is positively correlated with the smoking impact coefficient CX, and the smoking frequency information is positively correlated with the smoking impact coefficient CX;

[0033] Based on the diet information of the patient to be tested, the salt intake value information of the patient's daily life is judged, and the patient's salt intake value information is compared with the preset daily salt intake threshold information. If the patient's salt intake value information is less than or equal to the preset daily salt intake threshold information, the diet salt impact coefficient CY is output and the diet salt impact coefficient CY is 0;

[0034] If the patient's salt intake value information is greater than the preset daily salt intake threshold information, the difference between the patient's salt intake value information and the daily salt intake threshold information is calculated to obtain the salt intake difference information, and the diet salt impact coefficient CY is obtained based on the salt intake difference information, where the salt intake difference information is positively correlated with the diet salt impact coefficient CY;

[0035] The exercise information includes the exercise frequency information f, the exercise activity level information l, and the exercise duration information t;

[0036] According to the exercise frequency information f, the exercise activity level information l, and the exercise duration information t, the exercise impact coefficient CD is calculated based on the exercise function CD = λ1×f + λ2×l + λ3×t, where λ1, λ2, and λ3 are proportionality factors and are all greater than 0;

[0037] Combining the smoking impact coefficient CX, the diet salt impact coefficient CY, and the exercise impact coefficient CD, based on the life characteristic function The life characteristic impact coefficient CEQ is calculated, where c1, c2, and c3 are proportionality factors and are all greater than 0.

[0038] Preferably, combining the historical disease impact coefficient ALB and the body life characteristic impact coefficient ORC, based on the comprehensive impact function W 综合 = η1×ALB + η2×ORC to calculate the comprehensive impact coefficient W综合 , where η1 and η2 are scale factors and are both greater than 0;

[0039] Based on the comprehensive influence coefficient W 综合 Determine the perfusion pressure for the patient to be tested for kidney perfusion.

[0040] Preferably, the body characteristic information further includes the weight information of the patient to be tested and the body surface area information of the patient to be tested;

[0041] Analyze the influence of the weight of the patient to be tested on the perfusion volume of the kidney perfusion of the patient to be tested based on the weight information of the patient to be tested to obtain the weight perfusion volume influence coefficient DT, where the weight perfusion volume influence coefficient DT is positively correlated with the weight information of the patient to be tested;

[0042] Analyze the influence of the body surface area of the patient to be tested on the perfusion volume of the kidney perfusion of the patient to be tested based on the body surface area information of the patient to be tested to obtain the body surface area perfusion volume influence coefficient DB, where the body surface area perfusion volume influence coefficient DB is positively correlated with the body surface area information of the patient to be tested;

[0043] Analyze the influence of the age of the patient to be tested on the perfusion volume of the kidney perfusion of the patient to be tested based on the age information of the patient to be tested to obtain the age perfusion volume influence coefficient DN, where the age perfusion volume influence coefficient DN is negatively correlated with the age information of the patient to be tested;

[0044] Integrate the weight perfusion volume influence coefficient DT, the body surface area perfusion volume influence coefficient DB, and the age perfusion volume influence coefficient DN, and based on the perfusion volume function W 灌注量 = ε1×DT + ε2×DB + ε3×DN for calculation to obtain the total perfusion volume influence coefficient W 灌注量 , where ε1, ε2, and ε3 are scale factors and are both greater than 0;

[0045] Based on the total perfusion volume influence coefficient W 灌注量 Determine the perfusion volume for the patient to be tested for kidney perfusion, where the perfusion volume for the patient to be tested for kidney perfusion is positively correlated with the total perfusion volume influence coefficient W 灌注量 ;

[0046] Detect the blood viscosity of the patient to be tested to obtain blood viscosity information;

[0047] Based on the blood viscosity information and the perfusion pressure for the patient to be tested for kidney perfusion, obtain the perfusion speed for the patient to be tested for kidney perfusion.

[0048] Preferably, based on the perfusion volume for the patient to be tested for kidney perfusion and the perfusion speed for the patient to be tested for kidney perfusion, perform a kidney perfusion operation on the patient to be tested, and record the time when the kidney perfusion operation is performed on the patient to be tested, that is, the kidney perfusion time;

[0049] Determine the imaging waiting time based on the blood viscosity information of the patient to be tested, the perfusion volume of the patient to be tested for kidney perfusion, and the perfusion pressure of the patient to be tested for kidney perfusion;

[0050] Based on the kidney perfusion time, calculate the real-time waiting time. When the real-time waiting time is less than the imaging waiting time, calculate the difference between the real-time waiting time and the imaging waiting time to obtain the waiting time difference. When the waiting time difference is less than or equal to the preset waiting time difference threshold, output the imaging examination warning result;

[0051] When the real-time waiting time is greater than or equal to the imaging waiting time, output the imaging examination alarm result;

[0052] Based on wireless communication technology, send the imaging examination warning result and the imaging examination alarm result to the user terminal and the background monitoring system, and perform imaging examination on the patient to be tested based on the imaging waiting time.

[0053] In a second aspect, the present application provides a pressure detection system for kidney perfusion pressurization, adopting the following technical solutions:

[0054] A pressure detection system for kidney perfusion pressurization, comprising:

[0055] A kidney perfusion permission judgment module, configured to obtain the medical history allergy information of the patient to be tested, judge whether the patient to be tested can perform kidney perfusion based on the medical history allergy information of the patient to be tested, and output a kidney perfusion permission result if the patient can perform kidney perfusion;

[0056] A historical disease impact analysis module, configured to analyze the impact of historical diseases on the kidney perfusion of the patient to be tested based on the medical history allergy information of the patient to be tested to obtain a historical disease impact coefficient ALB;

[0057] A physical and lifestyle characteristic impact analysis module, configured to obtain the physical and lifestyle characteristic information of the patient to be tested, and analyze the impact of the patient's own body and lifestyle on the kidney perfusion of the patient to be tested based on the physical and lifestyle characteristic information of the patient to be tested to obtain a physical and lifestyle characteristic impact coefficient ORC;

[0058] A perfusion pressure detection module, configured to obtain the perfusion pressure for the kidney perfusion of the patient to be tested based on the historical disease impact coefficient ALB and the physical and lifestyle characteristic impact coefficient ORC;

[0059] A perfusion parameter analysis module, configured to determine the perfusion volume of the patient to be tested for kidney perfusion based on the physical and lifestyle characteristic information of the patient to be tested, and determine the perfusion speed of the patient to be tested for kidney perfusion based on the perfusion pressure of the patient to be tested for kidney perfusion;

[0060] An imaging waiting module, configured to determine the imaging waiting time of a patient to be tested based on the perfusion volume of kidney perfusion for the patient to be tested and the perfusion speed of kidney perfusion for the patient to be tested, and perform an imaging examination on the patient to be tested based on the imaging waiting time.

[0061] In summary, the present application includes at least one of the following beneficial technical effects:

[0062] 1. Determine whether the patient to be tested can undergo kidney perfusion based on the history allergy information of the patient to be tested, analyze the influence of historical diseases on the kidney perfusion of the patient to be tested according to the history allergy information of the patient to be tested to obtain the historical disease influence coefficient ALB, analyze the influence of the patient's own body and lifestyle on the kidney perfusion of the patient to be tested according to the physical and lifestyle characteristic information of the patient to be tested to obtain the physical and lifestyle characteristic influence coefficient ORC, and comprehensively analyze the perfusion pressure of the patient to be tested's kidney perfusion based on the historical disease influence coefficient ALB and the physical and lifestyle characteristic influence coefficient ORC, improving the accuracy of pressure detection during kidney perfusion of the patient to be tested;

[0063] 2. Analyze the influence of the smoking situation of the patient to be tested on vascular elasticity based on the smoking age information and smoking frequency information of the patient to be tested to obtain the smoking influence coefficient CX, obtain the patient's salt intake numerical information based on the diet information of the patient to be tested, obtain the diet salt influence coefficient CY based on the patient's salt intake numerical information, obtain the exercise influence coefficient CD based on the exercise information of the patient to be tested including exercise frequency information f, exercise activity level information l, and exercise duration information t, and comprehensively obtain the lifestyle characteristic influence coefficient CEQ based on the smoking influence coefficient CX, the diet salt influence coefficient CY, and the exercise influence coefficient CD, improving the detection accuracy of the lifestyle characteristic influence coefficient CEQ, and further improving the accuracy of kidney perfusion pressure detection of the patient to be tested;

[0064] 3. Analyze the influence of the weight of the patient to be tested on the perfusion volume of kidney perfusion for the patient to be tested based on the weight information of the patient to be tested to obtain the weight perfusion volume influence coefficient DT, analyze the influence of the body surface area of the patient to be tested on the perfusion volume of kidney perfusion for the patient to be tested based on the body surface area information of the patient to be tested to obtain the body surface area perfusion volume influence coefficient DB, analyze the influence of the age of the patient to be tested on the perfusion volume of kidney perfusion for the patient to be tested based on the age information of the patient to be tested to obtain the age perfusion volume influence coefficient DN, and comprehensively obtain the total perfusion volume influence coefficient W based on the weight perfusion volume influence coefficient DT, the body surface area perfusion volume influence coefficient DB, and the age perfusion volume influence coefficient DN 灌注量 , determine the perfusion volume of kidney perfusion for the patient to be tested according to the total perfusion volume influence coefficient W 灌注量 , and obtain the perfusion speed of kidney perfusion for the patient to be tested according to the blood viscosity information of the patient to be tested and the perfusion pressure of kidney perfusion for the patient to be tested, further improving the accuracy of pressure detection during kidney perfusion of the patient to be tested. Description of the Drawings

[0065] Figure 1 This is a schematic flowchart mainly showing the pressure detection method for kidney perfusion pressurization in this embodiment;

[0066] Figure 2 This is a schematic module diagram mainly showing the pressure detection system for kidney perfusion pressurization in this embodiment.

[0067] Reference signs: 1. Kidney perfusion permission judgment module; 2. Historical disease impact analysis module; 3. Physical life characteristic impact analysis module; 4. Perfusion pressure detection module; 5. Perfusion parameter analysis module; 6. Imaging waiting module. Detailed Description of the Embodiment

[0068] The following further describes the present application in detail with reference to the drawings.

[0069] The embodiment of the present application discloses a pressure detection method for kidney perfusion pressurization.

[0070] A pressure detection method for kidney perfusion pressurization includes the following steps:

[0071] Referring to Figure 1 , in step S1, obtain the medical history allergy information of the patient to be tested, and based on the medical history allergy information of the patient to be tested, judge whether the patient to be tested can undergo kidney perfusion. If the patient can undergo kidney perfusion, output the kidney perfusion permission result. Step S1 specifically includes the following sub-steps:

[0072] In step S11, obtain the medical history allergy information of the patient to be tested. The medical history allergy information of the patient to be tested includes historical medical history information and allergen information, and perform cache processing on the historical medical history information and allergen information.

[0073] In step S12, based on the historical medical history information, judge whether the patient to be tested has a history of kidney perfusion. If the patient has a history of kidney perfusion, output the historical kidney perfusion result.

[0074] In step S13, based on the allergen information, judge whether the patient to be tested is allergic to the aqueous solution for kidney perfusion. If the patient to be tested is allergic to the aqueous solution for kidney perfusion, output the aqueous solution allergy information. If the patient to be tested is not allergic to the aqueous solution for kidney perfusion, output the aqueous solution immunity information.

[0075] In step S14, obtain the permission judgment logic OR gate and establish a signal connection link between the permission judgment logic OR gate and the patient to be tested.

[0076] In step S15, when the permission judgment logic OR gate receives the historical kidney perfusion result or the aqueous solution immunity information, output the kidney perfusion permission result.

[0077] In specific applications, it is determined whether the patient to be tested has a history of kidney perfusion through the historical medical history information of the patient to be tested. If there is a history of kidney perfusion, the historical kidney perfusion result is output. It is determined whether the patient to be tested is allergic to the aqueous solution used for kidney perfusion based on the allergen information of the patient to be tested. If not allergic, the aqueous solution immunity information is output. When the historical kidney perfusion result or the aqueous solution immunity information is received, the kidney perfusion permission result is output, indicating that the patient to be tested can undergo kidney perfusion, improving the safety of kidney perfusion for the patient to be tested.

[0078] Refer to Figure 1 , step S2, analyze the influence of historical diseases on the kidney perfusion of the patient to be tested based on the medical history and allergy information of the patient to be tested to obtain the historical disease influence coefficient ALB. Step S2 specifically includes the following sub-steps:

[0079] Step S21, based on the historical medical history information of the patient to be tested, the historical medical history information includes the type of historical disease and the degree of historical illness.

[0080] Step S22, determine whether the type of historical disease has an impact on the vascular elasticity of the patient based on the type of historical disease of the patient to be tested. If the type of historical disease of the patient to be tested has an impact on the vascular elasticity of the patient to be tested, obtain the disease-vascular elasticity impact comparison table. The disease-vascular elasticity impact comparison table includes the impact coefficients of different diseases on the vascular type. Look up the impact of the type of historical disease of the patient to be tested on the vascular elasticity based on the disease-vascular elasticity impact comparison table to obtain the historical disease type impact coefficient AL.

[0081] Step S23, if the type of historical disease of the patient to be tested has an impact on the vascular elasticity of the patient to be tested, determine the impact of the degree of historical illness on the vascular elasticity of the patient to be tested based on the degree of historical illness of the patient to be tested to obtain the historical illness degree impact coefficient AC, where the historical illness degree impact coefficient AC is positively correlated with the degree of historical illness of the patient to be tested.

[0082] Step S24, combine the historical disease type impact coefficient AL and the historical illness degree impact coefficient AC, and calculate based on the historical disease function ALB = a1×AL + a2×AC to obtain the historical disease influence coefficient ALB, where a1 and a2 are proportionality factors and are both greater than 0.

[0083] In specific applications, it is determined whether the historical disease type has an impact on the vascular elasticity of the patient through the historical disease type of the patient to be tested. If there is an impact, the historical disease type influence coefficient AL is analyzed. Based on the historical degree of illness of the patient to be tested, the influence of the historical degree of illness on the vascular elasticity of the patient to be tested is obtained to get the historical degree of illness influence coefficient AC. The historical disease influence coefficient ALB is obtained by synthesizing the historical disease type influence coefficient AL and the historical degree of illness influence coefficient AC, which improves the detection accuracy of the historical disease influence coefficient ALB, and further improves the detection accuracy of the renal perfusion pressure of the patient to be tested.

[0084] Refer to Figure 1 , step S3, obtain the physical and living characteristic information of the patient to be tested, and analyze the influence of the patient's own body and lifestyle on the renal perfusion of the patient to be tested based on the physical and living characteristic information of the patient to be tested to obtain the physical and living characteristic influence coefficient ORC. Step S3 specifically includes the following sub-steps:

[0085] Step S31, obtain the physical and living characteristic information of the patient to be tested. The physical and living information of the patient to be tested includes physical characteristic information and living characteristic information, and store the physical characteristic information and living characteristic information.

[0086] Step S32, analyze the influence of the patient's own physical condition on the vascular elasticity based on the physical characteristic information of the patient to be tested to obtain the physical characteristic influence coefficient BER. Step S32 specifically includes the following sub-steps:

[0087] Step S321, the physical characteristic information includes age information, body fat percentage information, and blood pressure information.

[0088] Step S322, analyze the influence of the age of the patient to be tested on the vascular elasticity based on the age information to obtain the age influence coefficient BN, where the age influence coefficient BN is positively correlated with the age information of the patient to be tested.

[0089] Step S323, analyze the influence of the body fat percentage of the patient to be tested on the vascular elasticity based on the body fat percentage information to obtain the body fat percentage influence coefficient BZ, where the body fat percentage influence coefficient BZ is positively correlated with the body fat percentage information.

[0090] Step S324, compare the blood pressure information with the preset blood pressure threshold information. If the blood pressure information does not exceed the preset blood pressure threshold information, output the blood pressure influence coefficient BX and the blood pressure influence coefficient BX is 0. If the blood pressure information exceeds the preset blood pressure threshold information, calculate the difference between the blood pressure information and the blood pressure threshold information to obtain the blood pressure difference information, and obtain the blood pressure influence coefficient BX based on the blood pressure difference information, where the blood pressure influence coefficient BX is positively correlated with the blood pressure difference information.

[0091] Step S325: By synthesizing the age influence coefficient BN, the body fat percentage influence coefficient BZ, and the blood pressure influence coefficient BX, calculate the body characteristic influence coefficient BER based on the body characteristic function BER = b1×BN + b2×BZ + b3×BX, where b1, b2, and b3 are proportionality factors and are all greater than 0.

[0092] In specific applications, analyze the influence of the age of the patient to be measured on vascular elasticity through the age information of the patient to be measured to obtain the age influence coefficient BN, analyze the influence of the body fat percentage of the patient to be measured on vascular elasticity based on the body fat percentage information of the patient to be measured to obtain the body fat percentage influence coefficient BZ, analyze the influence of the blood pressure of the patient to be measured on vascular elasticity based on the blood pressure information of the patient to be measured to obtain the blood pressure influence coefficient BX, and synthesize the age influence coefficient BN, the body fat percentage influence coefficient BZ, and the blood pressure influence coefficient BX to obtain the body characteristic influence coefficient BER, improving the detection accuracy of the body characteristic influence coefficient BER, and further improving the detection accuracy of the renal perfusion pressure of the patient to be measured.

[0093] Step S33: Analyze the influence of the lifestyle of the patient to be measured on vascular elasticity based on the lifestyle characteristic information of the patient to be measured to obtain the lifestyle characteristic influence coefficient CEQ. Step S33 specifically includes the following sub-steps:

[0094] Step S331: The lifestyle characteristic information includes smoking information, diet information, and exercise information.

[0095] Step S332: The smoking information includes the smoking age information and the smoking frequency information. Analyze the influence of the smoking situation of the patient to be measured on vascular elasticity based on the smoking age information and the smoking frequency information to obtain the smoking influence coefficient CX, where the smoking age information is positively correlated with the smoking influence coefficient CX, and the smoking frequency information is positively correlated with the smoking influence coefficient CX.

[0096] Step S333: Based on the diet information of the patient to be measured, judge the salt intake in the daily life of the patient to be measured to obtain the patient's salt intake numerical information, and compare the patient's salt intake numerical information with the preset daily salt intake threshold information. If the patient's salt intake numerical information is less than or equal to the preset daily salt intake threshold information, output the diet salt influence coefficient CY and the diet salt influence coefficient CY is 0.

[0097] Step S334: If the patient's salt intake numerical information is greater than the preset daily salt intake threshold information, calculate the difference between the patient's salt intake numerical information and the daily salt intake threshold information to obtain the salt intake difference information, and obtain the diet salt influence coefficient CY based on the salt intake difference information, where the salt intake difference information is positively correlated with the diet salt influence coefficient CY.

[0098] Step S335, the motion information includes motion frequency information f, motion activity level information l, and motion duration information t.

[0099] Step S336, according to the motion frequency information f, motion activity level information l, and motion duration information t, calculate the exercise impact coefficient CD based on the motion function CD = λ1×f + λ2×l + λ3×t, where λ1, λ2, and λ3 are proportionality factors and are all greater than 0.

[0100] Step S337, comprehensively considering the smoking impact coefficient CX, diet salt impact coefficient CY, and exercise impact coefficient CD, based on the life characteristic function calculate the life characteristic impact coefficient CEQ, where c1, c2, and c3 are proportionality factors and are all greater than 0.

[0101] In specific applications, analyze the impact of the smoking situation of the patient to be tested on blood vessel elasticity through the patient's smoking age information and smoking frequency information to obtain the smoking impact coefficient CX, obtain the patient's salt intake numerical information based on the diet information of the patient to be tested, obtain the diet salt impact coefficient CY based on the patient's salt intake numerical information, obtain the exercise impact coefficient CD based on the motion information of the patient to be tested including motion frequency information f, motion activity level information l, and motion duration information t, and comprehensively consider the smoking impact coefficient CX, diet salt impact coefficient CY, and exercise impact coefficient CD to obtain the life characteristic impact coefficient CEQ, improving the detection accuracy of the life characteristic impact coefficient CEQ, and further improving the detection accuracy of the renal perfusion pressure of the patient to be tested.

[0102] Step S34, comprehensively considering the physical characteristic impact coefficient BER and the life characteristic impact coefficient CEQ, calculate the physical and life characteristic impact coefficient ORC based on the characteristic function ORC = ω1×BER + ω2×CEQ, where ω1 and ω2 are proportionality factors and are all greater than 0.

[0103] In specific applications, analyze the impact of the physical condition of the patient to be tested on blood vessel elasticity through the physical characteristic information of the patient to be tested to obtain the physical characteristic impact coefficient BER, analyze the impact of the lifestyle of the patient to be tested on blood vessel elasticity through the life characteristic information of the patient to be tested to obtain the life characteristic impact coefficient CEQ, and comprehensively consider the physical characteristic impact coefficient BER and the life characteristic impact coefficient CEQ to obtain the physical and life characteristic impact coefficient ORC, improving the detection accuracy of the physical and life characteristic impact coefficient ORC, and further improving the detection accuracy of the renal perfusion pressure of the patient to be tested.

[0104] Refer to Figure 1 , Step S4, obtain the perfusion pressure of the kidney perfusion of the patient to be tested based on the historical disease impact coefficient ALB and the physical and life characteristic impact coefficient ORC. Step S4 specifically includes the following sub-steps:

[0105] Step S41: Based on the comprehensive influence function W by integrating the historical disease influence coefficient ALB and the physical living characteristic influence coefficient ORC 综合 = η1×ALB + η2×ORC, calculate to obtain the comprehensive influence coefficient W 综合 , where η1 and η2 are proportionality factors and are both greater than 0.

[0106] Step S42: Based on the comprehensive influence coefficient W 综合 Determine the perfusion pressure for renal perfusion of the patient to be tested. Among them, the larger the comprehensive influence coefficient W 综合 , the smaller the perfusion pressure for renal perfusion of the patient to be tested.

[0107] In specific applications, integrate the historical disease influence coefficient ALB and the physical living characteristic influence coefficient ORC to obtain the comprehensive influence coefficient W 综合 , and based on the comprehensive influence coefficient W 综合 Determine the perfusion pressure for renal perfusion of the patient to be tested, improving the accuracy of detecting the renal perfusion pressure of the patient to be tested.

[0108] Refer to Figure 1 , Step S5: Based on the physical living characteristic information of the patient to be tested, determine the perfusion volume for renal perfusion of the patient to be tested, and based on the perfusion pressure for renal perfusion of the patient to be tested, determine the perfusion rate for renal perfusion of the patient to be tested. Step S5 specifically includes the following sub-steps:

[0109] Step S51: The physical characteristic information also includes the weight information of the patient to be tested and the body surface area information of the patient to be tested.

[0110] Step S52: Analyze the influence of the weight of the patient to be tested on the perfusion volume for renal perfusion of the patient to be tested based on the weight information of the patient to be tested to obtain the weight perfusion volume influence coefficient DT, where the weight perfusion volume influence coefficient DT is positively correlated with the weight information of the patient to be tested.

[0111] Step S53: Analyze the influence of the body surface area of the patient to be tested on the perfusion volume for renal perfusion of the patient to be tested based on the body surface area information of the patient to be tested to obtain the body surface area perfusion volume influence coefficient DB, where the body surface area perfusion volume influence coefficient DB is positively correlated with the body surface area information of the patient to be tested.

[0112] Step S54: Analyze the influence of the age of the patient to be tested on the perfusion volume for renal perfusion of the patient to be tested based on the age information of the patient to be tested to obtain the age perfusion volume influence coefficient DN, where the age perfusion volume influence coefficient DN is negatively correlated with the age information of the patient to be tested.

[0113] Step S55, based on the body weight perfusion volume influence coefficient DT, the body surface area perfusion volume influence coefficient DB, and the age perfusion volume influence coefficient DN, calculate the total perfusion volume influence coefficient W based on the perfusion volume function W 灌注量 = ε1×DT + ε2×DB + ε3×DN, where ε1, ε2, and ε3 are proportionality factors and are all greater than 0. 灌注量

[0114] Step S56, based on the total perfusion volume influence coefficient W 灌注量 Determine the perfusion volume for the patient to be tested for kidney perfusion. The perfusion volume for the patient to be tested for kidney perfusion is positively correlated with the total perfusion volume influence coefficient W 灌注量

[0115] Step S57, detect the blood viscosity of the patient to be tested to obtain blood viscosity information.

[0116] Step S58, based on the blood viscosity information and the perfusion pressure for the patient to be tested for kidney perfusion, obtain the perfusion speed for the patient to be tested for kidney perfusion. The higher the blood viscosity of the patient to be tested, the slower the perfusion speed for the patient to be tested for kidney perfusion; the greater the perfusion pressure for the patient to be tested for kidney perfusion, the slower the perfusion speed for the patient to be tested for kidney perfusion.

[0117] In specific applications, analyze the influence of the body weight of the patient to be tested on the perfusion volume of the patient's kidney perfusion through the body weight information of the patient to be tested to obtain the body weight perfusion volume influence coefficient DT, analyze the influence of the body surface area of the patient to be tested on the perfusion volume of the patient's kidney perfusion through the body surface area information of the patient to be tested to obtain the body surface area perfusion volume influence coefficient DB, analyze the influence of the age of the patient to be tested on the perfusion volume of the patient's kidney perfusion through the age information of the patient to be tested to obtain the age perfusion volume influence coefficient DN, and comprehensively obtain the total perfusion volume influence coefficient W from the body weight perfusion volume influence coefficient DT, the body surface area perfusion volume influence coefficient DB, and the age perfusion volume influence coefficient DN 灌注量 Determine the perfusion volume for the patient to be tested for kidney perfusion according to the total perfusion volume influence coefficient W, and obtain the perfusion speed for the patient to be tested for kidney perfusion based on the blood viscosity information of the patient to be tested and the perfusion pressure for the patient to be tested for kidney perfusion, improving the accuracy of pressure detection during kidney perfusion for the patient to be tested. 灌注量

[0118] Refer to Figure 1 Step S6, based on the perfusion volume for the patient to be tested for kidney perfusion and the perfusion speed for the patient to be tested for kidney perfusion, determine the imaging waiting time for the patient to be tested, and perform imaging examination on the patient to be tested based on the imaging waiting time. Step S6 specifically includes the following sub-steps:

[0119] ​​​Step S61: Based on the perfusion volume and perfusion speed of kidney perfusion for the patient to be tested, perform kidney perfusion operation on the patient to be tested, and record the moment of kidney perfusion operation for the patient to be tested, i.e., the kidney perfusion moment.

[0120] Step S62: Determine the imaging waiting time based on the blood viscosity information of the patient to be tested, the perfusion volume of kidney perfusion for the patient to be tested, and the perfusion pressure of kidney perfusion for the patient to be tested.

[0121] Step S63: Calculate the real-time waiting time based on the kidney perfusion moment. When the real-time waiting time is less than the imaging waiting time, calculate the difference between the real-time waiting time and the imaging waiting time to obtain the waiting time difference. When the waiting time difference is less than or equal to the preset waiting time difference threshold, output the imaging examination warning result.

[0122] Step S64: When the real-time waiting time is greater than or equal to the imaging waiting time, output the imaging examination alarm result.

[0123] Step S65: Send the imaging examination warning result and the imaging examination alarm result to the user terminal and the background monitoring system based on wireless communication technology.

[0124] When the patient to be tested receives the imaging examination warning result at the user terminal, the patient to be tested makes preparations for the imaging examination. When the medical staff receives the imaging examination warning result at the background monitoring system, the medical staff needs to make preparations for the imaging examination of the patient to be tested. When the patient to be tested receives the imaging examination alarm result at the user terminal and the medical staff receives the imaging examination alarm result at the background monitoring system, perform the imaging examination on the patient to be tested, which improves the accuracy of the imaging examination for the kidney perfusion of the patient to be tested.

[0125] Perform imaging examination on the patient to be tested based on the imaging waiting time. It should be noted that the wireless communication module in the embodiment of the present application refers to a wireless communication module based on wireless Bluetooth technology.

[0126] The embodiment of the present application also discloses a pressure detection system for kidney perfusion pressurization.

[0127] Refer to Figure 2 , a pressure detection system for kidney perfusion pressurization includes a kidney perfusion permission judgment module configured to obtain the medical history allergy information of the patient to be tested, judge whether the patient to be tested can perform kidney perfusion based on the medical history allergy information of the patient to be tested, and output a kidney perfusion permission result if the patient can perform kidney perfusion.

[0128] A historical disease influence analysis module configured to analyze the influence of historical diseases on the kidney perfusion of the patient to be tested based on the medical history allergy information of the patient to be tested to obtain a historical disease influence coefficient ALB.

[0129] A physical life characteristic influence analysis module, configured to obtain the physical life characteristic information of a patient to be tested, and analyze the influence of the patient's own body and lifestyle on the renal perfusion of the patient to be tested based on the physical life characteristic information of the patient to be tested, so as to obtain a physical life characteristic influence coefficient ORC.

[0130] A perfusion pressure detection module, configured to obtain the perfusion pressure for the renal perfusion of the patient to be tested based on a historical disease influence coefficient ALB and a physical life characteristic influence coefficient ORC.

[0131] A perfusion parameter analysis module, configured to determine the perfusion volume for the renal perfusion of the patient to be tested based on the physical life characteristic information of the patient to be tested, and determine the perfusion speed for the renal perfusion of the patient to be tested based on the perfusion pressure for the renal perfusion of the patient to be tested.

[0132] An imaging waiting module, configured to determine the imaging waiting time of the patient to be tested based on the perfusion volume for the renal perfusion of the patient to be tested and the perfusion speed for the renal perfusion of the patient to be tested, and perform an imaging examination on the patient to be tested based on the imaging waiting time.

[0133] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.

Claims

1. A method for detecting pressure for renal perfusion pressurization, characterized in that: The following steps are involved: Obtaining the medical history allergy information of the patient to be tested, judging whether the patient to be tested can undergo renal perfusion based on the medical history allergy information of the patient to be tested, and outputting a renal perfusion permission result if renal perfusion can be performed; Based on the medical history allergy information of the patient to be tested, the influence of the historical disease on the renal perfusion of the patient to be tested is analyzed to obtain the historical disease influence coefficient ALB; based on the historical medical history information of the patient to be tested, the historical medical history information includes the historical disease type and the historical disease severity; Based on the historical disease type of the patient to be tested, determine whether the historical disease type has an impact on the patient's vascular elasticity. If the historical disease type of the patient to be tested has an impact on the patient's vascular elasticity, obtain a disease vascular elasticity impact comparison table, which includes the impact coefficients of different diseases on vascular types. Based on the disease vascular elasticity impact comparison table, find the impact of the historical disease type of the patient to be tested on vascular elasticity to obtain the historical disease type impact coefficient AL; If the historical disease type of the patient to be tested will have an impact on the vascular elasticity of the patient to be tested, then the impact of the historical disease degree on the vascular elasticity of the patient to be tested is determined based on the historical disease degree of the patient to be tested to obtain the historical disease degree impact coefficient AC, wherein the historical disease degree impact coefficient AC is positively correlated with the historical disease degree of the patient to be tested; The historical disease type influence coefficient AL and the historical disease severity influence coefficient AC are combined to calculate the historical disease influence coefficient ALB based on the historical disease function ALB=a1×AL+a2×AC, where a1 and a2 are proportional factors and are both greater than 0; Obtaining the physical life characteristic information of the patient to be tested, and analyzing the influence of the patient's own body and lifestyle on the renal perfusion of the patient to be tested based on the physical life characteristic information of the patient to be tested to obtain the physical life characteristic influence coefficient ORC; Based on the historical disease influence coefficient ALB and the physical life characteristic influence coefficient ORC, the perfusion pressure of the kidney of the patient to be tested is obtained; Determine the perfusion volume of the renal perfusion of the patient to be tested based on the physical life characteristic information of the patient to be tested, and determine the perfusion speed of the renal perfusion of the patient to be tested based on the perfusion pressure of the renal perfusion of the patient to be tested; determining an imaging waiting time for the patient to be tested based on a perfusion volume and a perfusion speed of the renal perfusion of the patient to be tested, and performing an imaging examination on the patient to be tested based on the imaging waiting time; Detecting the viscosity of the blood of the patient to be tested to obtain blood viscosity information; The perfusion rate of the renal perfusion of the patient to be tested is obtained based on the blood viscosity information and the perfusion pressure of the renal perfusion of the patient to be tested.

2. A method for detecting pressure for kidney perfusion pressurization according to claim 1, characterized in that: The steps of obtaining the medical history allergy information of the patient to be tested, judging whether the patient to be tested can undergo renal perfusion based on the medical history allergy information of the patient to be tested, and outputting a renal perfusion permission result if renal perfusion can be performed, specifically include: Obtaining the medical history allergy information of the patient to be tested, wherein the medical history allergy information of the patient to be tested includes historical medical history information and allergen information, and caching the historical medical history information and allergen information; Based on the historical medical history information, determine whether the patient to be tested has a renal perfusion experience, and if so, output the historical renal perfusion results; Based on the allergen information, determine whether the patient to be tested is allergic to the water for kidney perfusion, if the patient to be tested is allergic to the water for kidney perfusion, output the water allergy information, if the patient to be tested is not allergic to the water for kidney perfusion, output the water immunity information; Acquire a permission judgment logic OR gate and establish a signal connection link between the permission judgment logic OR gate and the patient to be tested; When the historical kidney perfusion result or the aqueous solution immunization information is received based on the permission judgment logic or gate, the kidney perfusion permission result is output.

3. A method for detecting pressure for kidney perfusion pressurization according to claim 2, characterized in that: The steps of obtaining the physical life characteristic information of the patient to be tested, and analyzing the influence of the patient's own body and lifestyle on the renal perfusion of the patient to be tested based on the physical life characteristic information of the patient to be tested to obtain the physical life characteristic influence coefficient ORC specifically include: Acquiring physical life characteristic information of the patient to be tested, wherein the physical life information of the patient to be tested includes physical characteristic information and life characteristic information, and storing the physical characteristic information and the life characteristic information; Based on the physical characteristics of the patient to be tested, the effect of the patient's own physical condition on vascular elasticity is analyzed to obtain the physical characteristics influence coefficient BER; Based on the life characteristics information of the patients to be tested, the influence of the patients' lifestyle on vascular elasticity is analyzed to obtain the life characteristics influence coefficient CEQ; The physical characteristic influence coefficient BER and the life characteristic influence coefficient CEQ are comprehensively calculated based on the characteristic function ORC=ω1×BER+ω2×CEQ to obtain the physical life characteristic influence coefficient ORC, where ω1 and ω2 are proportional factors and are both greater than 0.

4. A method for detecting pressure for kidney perfusion pressurization according to claim 3, characterized in that: The step of analyzing the influence of the patient's own physical condition on the vascular elasticity based on the patient's physical characteristic information to obtain the physical characteristic influence coefficient BER specifically includes: The physical characteristic information includes age information, body fat percentage information and blood pressure information; The influence of the patient's age on vascular elasticity is analyzed based on the age information to obtain the age influence coefficient BN, wherein the age influence coefficient BN is positively correlated with the patient's age information; Based on the body fat rate information, the influence of the body fat rate of the patient to be tested on the vascular elasticity is analyzed to obtain the body fat rate influence coefficient BZ, wherein the body fat rate influence coefficient BZ is positively correlated with the body fat rate information; The blood pressure information is compared with the preset blood pressure threshold information. If the blood pressure information does not exceed the preset blood pressure threshold information, the blood pressure influence coefficient BX is output and the blood pressure influence coefficient BX is 0. If the blood pressure information exceeds the preset blood pressure threshold information, the difference between the blood pressure information and the blood pressure threshold information is calculated to obtain the blood pressure difference information. The blood pressure influence coefficient BX is obtained based on the blood pressure difference information, wherein the blood pressure influence coefficient BX is positively correlated with the blood pressure difference information; The age influence coefficient BN, body fat rate influence coefficient BZ and blood pressure influence coefficient BX are comprehensively considered and calculated based on the body characteristic function BER=b1×BN+b2×BZ+b3×BX to obtain the body characteristic influence coefficient BER, where b1, b2 and b3 are proportional factors and are all greater than 0.

5. A method for detecting pressure for kidney perfusion pressurization according to claim 4, characterized in that: The steps of analyzing the influence of the patient's lifestyle on vascular elasticity based on the patient's lifestyle information to obtain the lifestyle influence coefficient CEQ specifically include: The life characteristic information includes smoking information, diet information and exercise information; The smoking information includes smoking age information and smoking frequency information. Based on the smoking age information and smoking frequency information, the influence of the smoking condition of the patient to be tested on the vascular elasticity is analyzed to obtain the smoking influence coefficient CX, wherein the smoking age information is positively correlated with the smoking influence coefficient CX, and the smoking frequency information is positively correlated with the smoking influence coefficient CX; The daily salt intake of the patient to be tested is determined based on the dietary information of the patient to be tested to obtain the patient's salt intake numerical information, and the patient's salt intake numerical information is compared with the preset daily salt intake threshold information. If the patient's salt intake numerical information is less than or equal to the preset daily salt intake threshold information, the dietary salt influence coefficient CY is output and the dietary salt influence coefficient CY is 0; If the patient's salt intake numerical information is greater than the preset daily salt intake threshold information, the difference between the patient's salt intake numerical information and the daily salt intake threshold information is calculated to obtain salt intake difference information, and the dietary salt influence coefficient CY is obtained based on the salt intake difference information, wherein the salt intake difference information is positively correlated with the dietary salt influence coefficient CY; The exercise information includes exercise frequency information f, exercise activity level information l and exercise duration information t; According to the exercise frequency information f, the exercise activity level information l and the exercise duration information t, the exercise influence coefficient CD is calculated based on the exercise function CD=λ1×f+λ2×l+λ3×t, where λ1, λ2 and λ3 are proportional factors and are all greater than 0; The comprehensive smoking influence coefficient CX, dietary salt influence coefficient CY and exercise influence coefficient CD are based on the life characteristic function. The influence coefficient of life characteristics CEQ is calculated, where c1, c2, and c3 are proportional factors and are all greater than 0.

6. A method for detecting pressure for kidney perfusion pressurization according to claim 5, characterized in that: The step of obtaining the perfusion pressure of the kidney of the patient to be tested based on the historical disease influence coefficient ALB and the physical life characteristic influence coefficient ORC specifically includes: The comprehensive historical disease impact coefficient ALB and the physical life characteristics impact coefficient ORC are based on the comprehensive impact function W 综合 =η1×ALB+η2×ORC to calculate the comprehensive influence coefficient W 综合 , where η1 and η2 are proportional factors and are both greater than 0; Based on the comprehensive influence coefficient W 综合 Determine the perfusion pressure for renal perfusion in the patient to be tested.

7. A method for detecting pressure for kidney perfusion pressurization according to claim 6, characterized in that: The steps of determining the perfusion volume of the renal perfusion of the patient to be tested based on the physical life characteristic information of the patient to be tested, and determining the perfusion speed of the renal perfusion of the patient to be tested based on the perfusion pressure of the renal perfusion of the patient to be tested specifically include: The physical characteristic information also includes weight information of the patient to be tested and body surface area information of the patient to be tested; Based on the weight information of the patient to be tested, the influence of the weight of the patient to be tested on the perfusion volume of the renal perfusion of the patient to be tested is analyzed to obtain the weight perfusion volume influence coefficient DT, wherein the weight perfusion volume influence coefficient DT is positively correlated with the weight information of the patient to be tested; Based on the body surface area information of the patient to be tested, the influence of the body surface area of ​​the patient to be tested on the perfusion volume of the renal perfusion of the patient to be tested is analyzed to obtain a body surface area perfusion volume influence coefficient DB, wherein the body surface area perfusion volume influence coefficient DB is positively correlated with the body surface area information of the patient to be tested; Based on the age information of the patient to be tested, the influence of the age of the patient to be tested on the perfusion volume of the renal perfusion of the patient to be tested is analyzed to obtain the age perfusion volume influence coefficient DN, wherein the age perfusion volume influence coefficient DN is negatively correlated with the age information of the patient to be tested; The perfusion volume effect coefficient DT of the comprehensive body weight, the perfusion volume effect coefficient DB of the body surface area and the perfusion volume effect coefficient DN of the age are calculated based on the perfusion volume function W. 灌注量 =ε1×DT+ε2×DB+ε3×DN to calculate the total influence coefficient of perfusion volume W 灌注量 , where ε1, ε2, and ε3 are proportional factors and are all greater than 0; Based on the total influence coefficient W of the perfusion volume 灌注量 Determine the perfusion volume of the renal perfusion of the patient to be tested, wherein the perfusion volume of the renal perfusion of the patient to be tested and the total influence coefficient of the perfusion volume W 灌注量 There is a positive correlation.

8. A method for detecting pressure for kidney perfusion pressurization according to claim 7, characterized in that: The imaging waiting time of the patient to be tested is determined based on the perfusion volume of the renal perfusion of the patient to be tested and the perfusion speed of the renal perfusion of the patient to be tested. The steps of performing an imaging examination on the patient to be tested based on the imaging waiting time specifically include: performing a renal perfusion operation on the patient to be tested based on the perfusion volume and the perfusion speed of the renal perfusion of the patient to be tested, and recording the time when the renal perfusion operation is performed on the patient to be tested, i.e., the renal perfusion time; Determine the imaging waiting time based on the blood viscosity information of the patient to be tested, the perfusion volume of the renal perfusion of the patient to be tested, and the perfusion pressure of the renal perfusion of the patient to be tested; The real-time waiting time is obtained based on the renal perfusion time. When the real-time waiting time is less than the imaging waiting time, the difference between the real-time waiting time and the imaging waiting time is calculated to obtain the waiting time difference. When the waiting time difference is less than or equal to the preset waiting time difference threshold, the imaging examination warning result is output; When the real-time waiting time is greater than or equal to the imaging waiting time, the image inspection alarm result is output; Based on wireless communication technology, the imaging examination warning results and imaging examination alarm results are sent to the user terminal and the background monitoring system, and imaging examinations are performed on the patients to be examined based on the imaging waiting time.

9. A pressure detection system for kidney perfusion pressurization, characterized in that: The renal perfusion pressurization pressure detection system is used to implement the renal perfusion pressurization pressure detection method according to any one of claims 1 to 8, comprising: a renal perfusion permission judgment module, configured to obtain the medical history allergy information of the patient to be tested, and judge whether the patient to be tested can undergo renal perfusion based on the medical history allergy information of the patient to be tested, and output a renal perfusion permission result if renal perfusion can be performed; A historical disease impact analysis module is configured to analyze the impact of historical diseases on renal perfusion of the patient to be tested based on the medical history allergy information of the patient to be tested to obtain a historical disease impact coefficient ALB; A physical life characteristics impact analysis module is configured to obtain physical life characteristics information of the patient to be tested, and analyze the impact of the patient's own body and lifestyle on the renal perfusion of the patient to be tested based on the physical life characteristics information of the patient to be tested to obtain a physical life characteristics impact coefficient ORC; A perfusion pressure detection module, configured to obtain the perfusion pressure of the kidney of the patient to be tested based on the historical disease influence coefficient ALB and the physical life characteristic influence coefficient ORC; a perfusion parameter analysis module, configured to determine a perfusion volume of kidney perfusion for the patient to be tested based on the physical life characteristic information of the patient to be tested, and to determine a perfusion speed of kidney perfusion for the patient to be tested based on the perfusion pressure of kidney perfusion for the patient to be tested; The imaging waiting module is configured to determine the imaging waiting time of the patient to be tested based on the perfusion volume and the perfusion speed of the renal perfusion of the patient to be tested, and perform an imaging examination on the patient to be tested based on the imaging waiting time.

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