A method for configuring a mobile ischemic stroke thrombolytic system

Abstract

A configuration method of a mobile ischemic stroke thrombolysis system, the configuration method comprising the following steps: setting respective operation functions according to the characteristics of respective functional components of the mobile ischemic stroke thrombolysis system; building a data transmission network between the functional components to realize transmission and interaction of data parameters; collecting a plurality of parameters of a patient in combination with the calculation results of the operation functions to preliminarily judge the basic information and specific condition of the patient; and summarizing statistical analysis in the mobile ischemic stroke thrombolysis system to generate a processing opinion to obtain a corresponding treatment scheme according to the specific condition of the patient.

Description

Technical Field

[0001] This invention relates to a method for configuring a mobile thrombolysis system for ischemic stroke. Background Technology

[0002] Acute ischemic stroke is the most common type of stroke, accounting for 69.6% to 70.8% of all strokes in my country. It has high rates of disability and mortality, imposing a huge social and economic burden on patients and their families. Furthermore, the benefits of treatment are subject to a strict time window. Intravenous thrombolysis administered within the golden 3 to 4.5 hours after onset benefits one in six patients, and intravenous thrombolysis administered within 3 hours benefits one in three. However, due to the narrow time window, some patients miss this treatment opportunity.

[0003] To address the shortcomings of existing treatment methods, mobile ischemic stroke thrombolysis systems can be used to move the treatment intervention point forward, allowing patients to receive treatment at the scene of the stroke instead of in the hospital, thus shortening the treatment time. Therefore, specific configuration methods are needed to improve the efficiency and accuracy of mobile ischemic stroke thrombolysis systems. Summary of the Invention

[0004] This invention provides a configuration method for a mobile ischemic stroke thrombolysis system. The method is rationally designed, based on the synergistic effect of multiple functional components, and builds multiple types of data models. Combined with specific automated algorithms, it can collect multiple examination parameters of the patient for calculation, improving the overall working efficiency and accuracy of the mobile ischemic stroke thrombolysis system, minimizing the time from pre-hospital to in-hospital treatment, shortening the time for patient treatment, avoiding secondary referrals, and thus shortening the time from stroke onset to treatment, solving the problems existing in the prior art.

[0005] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows: A method for configuring a mobile thrombolysis system for ischemic stroke, the method comprising the following steps: S1, set the corresponding operation functions according to the characteristics of each functional component of the mobile ischemic stroke thrombolysis system; S2 establishes a data transmission network between multiple functional components to enable the transmission and interaction of data parameters; S3, combining the calculation results of the above multiple operation functions, collect multiple parameters of the patient to make a preliminary judgment on the patient's basic information and specific condition; S4 summarizes and analyzes data within the mobile ischemic stroke thrombolysis system, generates treatment recommendations, and obtains corresponding treatment plans based on the patient's specific condition.

[0006] The mobile ischemic stroke thrombolysis system includes: A medical mobile device, used for patient consultation and diagnosis, and for collecting patient medical examination data; The cloud server is used to acquire and store patients' test requests and medical and health data, and to generate diagnosis and treatment reports or health check-up reports. The patient client is used to verify the patient's identity information, collect various motor function indicators of the patient, and synchronously generate medical test data information. The expert client is used to provide remote expert consultations for patients and generate consultation opinion reports; The hospital terminal is used to retrieve test request forms and medical and health data information from the cloud server.

[0007] The patient client includes an information input unit and a stroke data acquisition unit. The information input unit is used to obtain the basic identity information of the person to be examined from the identity code of the person to be examined, and generate a test request form containing the basic identity information and test item information according to the test requirements of the person to be examined. The stroke data acquisition unit is used to obtain the test request form uploaded by the information input unit through the data interface, and collect various motor function indicators of the person to be examined according to the test item information contained in the test request form, and synchronously generate test data information. The expert client includes an information evaluation unit and an information feedback unit. Through the summary and statistical analysis of the test data information by experts, processing opinions are generated. The information feedback unit is used to obtain the consultation opinion report generated by the information evaluation unit and upload the evaluation report to the cloud server for storage.

[0008] The information input unit is connected to an external identity reader via a data interface. The identity reader is used to identify the identity code of the person to be examined and transmits the basic identity information to the information input unit via the data interface. The doctor in the mobile ischemic stroke thrombolysis system issues a test request form through the information input unit according to the test requirements of the person to be examined. The stroke data acquisition unit includes a testing device, a first data processing unit, an imaging device, an electrocardiogram (ECG) scanner, and a second data processing unit. The testing device is used to collect various stroke-related indicators of the examinee. The first data processing unit is used to acquire various stroke-related indicators collected by the testing device through conventional methods via a data interface and generate testing data information. The second data processing unit is used to acquire various brain structure indicators and ECG indicators collected by head CT scan through a data interface and generate head imaging data and ECG information.

[0009] The steps for setting corresponding calculation functions based on the characteristics of each functional component of the mobile ischemic stroke thrombolysis system include: S1.1 configures iterative functions for medical mobile devices to obtain more accurate medical examination data; S1.2 Configure computational equations for the cloud server to improve the accuracy of medical reports or health check-up reports; S1.3 Configure the deviation function for the patient client to accurately determine the patient's identity information; S1.4 configures summary functions for expert clients and hospital terminals to ensure the efficiency and accuracy of report output.

[0010] The iteration function is:

[0011] Where m is the iteration number, F0 is the iteration trigger factor, S0 is the standard value of the iteration parameter, which is the medical examination data, and a n B is the iteration coefficient for determining the element; Through iterative calculations, the medical examination data collected by mobile medical devices can more closely reflect the actual condition of patients.

[0012] The operational equation is:

[0013] Where x represents the patient's medical report or health check-up report; t represents time; Q represents the patient's real-time body temperature; z represents the patient's age; A represents the area of ​​the mobile ischemic stroke thrombolysis system; B represents the distance between the patient and the mobile ischemic stroke thrombolysis system; q i ρ is the temperature change per unit time; n is the reference rate of change; i Air parameters for mobile ischemic stroke thrombolysis systems; h i Labeled parameters representing mobile ischemic stroke thrombolysis systems; By breaking down and calculating the computational equations, and combining them with the mobile ischemic stroke thrombolysis system and the diagnosis or health check-up report, the most suitable treatment plan for the patient can be obtained.

[0014] The deviation function is: δ(x) i = s(E, E) n )|x i -X|+(1- s(E,E n ))|x i -θ| Where, x i The set of various motor function indicators of the patient, s(E, E) n) is a bias binary function, θ is the convolutional reference model, n is the label of the set of various motor function indicators, and X is the reference set of the set of various motor function indicators; The patient's identity information and specific details are verified based on the calculated value of the deviation function, and the degree of difference between the patient's actual set of various motor function indicators and the reference set of various motor function indicators is obtained.

[0015] This invention employs the aforementioned structure and method, utilizing 5G communication technology to achieve data transmission of images, blood, electrophysiological data, and other information required for thrombolysis in stroke between medical mobile terminals, expert user terminals, and hospital terminals. This enables experts to quickly diagnose and provide timely treatment guidance, integrating examination, testing, treatment, disease monitoring, and consultation. It also performs data aggregation and analysis, adapting to various conditions and ensuring the safe and efficient completion of intravenous thrombolysis for ischemic stroke. It achieves flexibility, convenience, and speed, bringing stroke diagnosis and treatment to the pre-hospital stage, shortening the time from onset to thrombolysis, increasing the thrombolysis rate, and providing new possibilities for expanding the beneficiary group of thrombolysis. It possesses the advantages of stability, efficiency, safety, and practicality. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the mobile ischemic stroke thrombolysis system of the present invention.

[0017] Figure 2 This is a schematic diagram of the overall information management of the present invention.

[0018] Figure 3 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0019] To clearly illustrate the technical features of this solution, the invention will be described in detail below through specific implementation methods and in conjunction with the accompanying drawings.

[0020] like Figure 1-3 As shown, a method for configuring a mobile ischemic stroke thrombolysis system includes the following steps: S1, set the corresponding operation functions according to the characteristics of each functional component of the mobile ischemic stroke thrombolysis system; S2 establishes a data transmission network between multiple functional components to enable the transmission and interaction of data parameters; S3, combining the calculation results of the above multiple operation functions, collect multiple parameters of the patient to make a preliminary judgment on the patient's basic information and specific condition; S4 summarizes and analyzes data within the mobile ischemic stroke thrombolysis system, generates treatment recommendations, and obtains corresponding treatment plans based on the patient's specific condition.

[0021] The mobile ischemic stroke thrombolysis system includes: A medical mobile device, used for patient consultation and diagnosis, and for collecting patient medical examination data; The cloud server is used to acquire and store patients' test requests and medical and health data, and to generate diagnosis and treatment reports or health check-up reports. The patient client is used to verify the patient's identity information, collect various motor function indicators of the patient, and synchronously generate medical test data information. The expert client is used to provide remote expert consultations for patients and generate consultation opinion reports; The hospital terminal is used to retrieve test request forms and medical and health data information from the cloud server.

[0022] The patient client includes an information input unit and a stroke data acquisition unit. The information input unit is used to obtain the basic identity information of the person to be examined from the identity code of the person to be examined, and generate a test request form containing the basic identity information and test item information according to the test requirements of the person to be examined. The stroke data acquisition unit is used to obtain the test request form uploaded by the information input unit through the data interface, and collect various motor function indicators of the person to be examined according to the test item information contained in the test request form, and synchronously generate test data information. The expert client includes an information evaluation unit and an information feedback unit. Through the summary and statistical analysis of the test data information by experts, processing opinions are generated. The information feedback unit is used to obtain the consultation opinion report generated by the information evaluation unit and upload the evaluation report to the cloud server for storage.

[0023] The information input unit is connected to an external identity reader via a data interface. The identity reader is used to identify the identity code of the person to be examined and transmits the basic identity information to the information input unit via the data interface. The doctor in the mobile ischemic stroke thrombolysis system issues a test request form through the information input unit according to the test requirements of the person to be examined. The stroke data acquisition unit includes a testing device, a first data processing unit, an imaging device, an electrocardiogram (ECG) scanner, and a second data processing unit. The testing device is used to collect various stroke-related indicators of the examinee. The first data processing unit is used to acquire various stroke-related indicators collected by the testing device through conventional methods via a data interface and generate testing data information. The second data processing unit is used to acquire various brain structure indicators and ECG indicators collected by head CT scan through a data interface and generate head imaging data and ECG information.

[0024] The steps for setting corresponding calculation functions based on the characteristics of each functional component of the mobile ischemic stroke thrombolysis system include: S1.1 configures iterative functions for medical mobile devices to obtain more accurate medical examination data; S1.2 Configure computational equations for the cloud server to improve the accuracy of medical reports or health check-up reports; S1.3 Configure the deviation function for the patient client to accurately determine the patient's identity information; S1.4 configures summary functions for expert clients and hospital terminals to ensure the efficiency and accuracy of report output.

[0025] The iteration function is:

[0026] Where m is the iteration number, F0 is the iteration trigger factor, S0 is the standard value of the iteration parameter, which is the medical examination data, and a n B is the iteration coefficient for determining the element; Through iterative calculations, the medical examination data collected by mobile medical devices can more closely reflect the actual condition of patients.

[0027] The operational equation is:

[0028] Where x represents the patient's medical report or health check-up report; t represents time; Q represents the patient's real-time body temperature; z represents the patient's age; A represents the area of ​​the mobile ischemic stroke thrombolysis system; B represents the distance between the patient and the mobile ischemic stroke thrombolysis system; q i ρ is the temperature change per unit time; n is the reference rate of change; i Air parameters for mobile ischemic stroke thrombolysis systems; h i Labeled parameters representing mobile ischemic stroke thrombolysis systems; By breaking down and calculating the computational equations, and combining them with the mobile ischemic stroke thrombolysis system and the diagnosis or health check-up report, the most suitable treatment plan for the patient can be obtained.

[0029] The deviation function is: δ(x) i = s(E, E) n )|x i -X|+(1- s(E,E n ))|x i -θ| Where, x i The set of various motor function indicators of the patient, s(E, E) n) is a bias binary function, θ is the convolutional reference model, n is the label of the set of various motor function indicators, and X is the reference set of the set of various motor function indicators; The patient's identity information and specific details are verified based on the calculated value of the deviation function, and the degree of difference between the patient's actual set of various motor function indicators and the reference set of various motor function indicators is obtained.

[0030] The working principle of the configuration method of a mobile ischemic stroke thrombolysis system in this embodiment of the invention is as follows: based on the mutual cooperation of multiple functional components, multiple types of data models are built, and combined with specific automated algorithms, multiple examination parameters of patients can be collected and calculated to improve the overall working efficiency and accuracy of the mobile ischemic stroke thrombolysis system, minimize the time from pre-hospital to in-hospital treatment, shorten the treatment time for patients, avoid secondary referrals, and thus shorten the time from the onset of stroke to receiving treatment.

[0031] In this application, each functional component of the mobile ischemic stroke thrombolysis system is configured with a corresponding algorithm to process the patient's various indicators and health data. This solves the problem of treatment delays before thrombolysis in conventional thrombolysis methods, moves the "hospital" to the patient's side, minimizes the time from pre-hospital to in-hospital treatment, and can transport the patient to a hospital with treatment capabilities as soon as possible, avoiding secondary referrals, thereby shortening the time from stroke onset to treatment.

[0032] In the overall solution, the configuration method includes the following steps: setting corresponding calculation functions according to the characteristics of each functional component of the mobile ischemic stroke thrombolysis system; building a data transmission network between multiple functional components to realize the transmission and interaction of data parameters; collecting multiple parameters of the patient based on the calculation results of the above multiple calculation functions to make a preliminary judgment on the patient's basic information and specific condition; summarizing and statistically analyzing the data within the mobile ischemic stroke thrombolysis system to generate processing opinions, so as to obtain a corresponding treatment plan for the patient's specific condition.

[0033] Correspondingly, the mobile ischemic stroke thrombolysis system includes: a medical mobile terminal for patient consultation and diagnosis, and collection of patient medical examination data; a cloud server for retrieving and storing patient test requests and medical health data, and generating diagnosis reports or health check-up reports; a patient client for verifying patient identity information, collecting various motor function indicators of patients, and synchronously generating medical test data; an expert client for providing remote expert consultations for patients and generating consultation opinion reports; and a hospital terminal for retrieving test requests and medical health data from the cloud server.

[0034] Preferably, the patient client includes an information input unit and a stroke data acquisition unit. The information input unit is used to obtain the basic identity information of the person to be examined from the identity code of the person to be examined, and generate a test request form containing the basic identity information and test item information according to the test requirements of the person to be examined. The stroke data acquisition unit is used to obtain the test request form uploaded by the information input unit through a data interface, and collect various motor function indicators of the person to be examined according to the test item information contained in the test request form, and synchronously generate test data information. The expert client includes an information evaluation unit and an information feedback unit. Through the summary and statistical analysis of the test data information by experts, processing opinions are generated. The information feedback unit is used to obtain the consultation opinion report generated by the information evaluation unit and upload the evaluation report to the cloud server for storage.

[0035] Furthermore, the information input unit is externally connected to an identity reader via a data interface, which is used to identify the identity code of the person to be examined and transmits the identified basic identity information to the information input unit via the data interface. The doctor in the mobile ischemic stroke thrombolysis system issues a test request form through the information input unit according to the test requirements of the person to be examined. The stroke data acquisition unit includes a testing device, a first data processing unit, an imaging device, an electrocardiogram (ECG) scanner, and a second data processing unit. The testing device is used to collect various stroke-related indicators of the examinee. The first data processing unit is used to acquire various stroke-related indicators collected by the testing device through conventional methods via a data interface and generate testing data information. The second data processing unit is used to acquire various brain structure indicators and ECG indicators collected by head CT scan through a data interface and generate head imaging data and ECG information.

[0036] The information assessment unit includes a first information diagnosis unit, which is an expert client and a hospital user terminal of the LIS system. The mobile user terminal, expert client, and hospital user terminal of the LIS system are connected via a 5G network to form the information transmission of the LIS system. This allows the first information diagnosis unit to synchronously display test data information. Doctors at the expert client and / or hospital terminal review and diagnose the test data information of stroke and issue an assessment report through the first information diagnosis unit. The first information diagnosis unit is also used to transmit the assessment report to the information feedback unit. The information input unit is also used to obtain the assessment report sent by the information feedback unit and connect an external printing device via a data interface for printing the assessment report.

[0037] For cloud servers, the cloud server supports large-scale data storage and processing, including an information storage unit and an abnormal data detection unit. The information storage unit includes various types of data such as text, images, and videos. It is used to acquire the test / examination application forms uploaded by the information input unit and the test / examination data information sent by the stroke-related data acquisition unit. Based on the basic identity information of the examinee included in the test / examination application form, it summarizes and stores the corresponding test / examination data information. The information storage unit is also used to store the normal value range data of various stroke CT images, electrocardiograms, and indicators such as blood routine, coagulation function, blood glucose, and electrolytes. The normal value range data of stroke CT images, electrocardiograms, and indicators required for thrombolysis are stored separately from the test data information. The information storage unit is responsible for managing this data, ensuring data integrity, security, and accessibility. The abnormal data detection unit includes an indicator subunit and an abnormal data feedback subunit. It uses algorithms and models to perform real-time or near real-time analysis of the data to identify and warn of any abnormalities or potential security threats. The indicator standard subunit is used to acquire the test data information sent by the data acquisition unit for pre-thrombolysis detection of stroke, compare the pre-thrombolysis indicators in the test data information with the normal value range data of each stroke indicator, and mark the stroke thrombolysis indicators that are not within the normal value range as abnormal. The abnormal data feedback subunit is used to acquire the abnormal stroke thrombolysis indicators marked by the indicator standard subunit and transmit the abnormal stroke thrombolysis indicators to the expert user terminal or hospital user terminal through the 5G network. The mobile device of the expert user terminal is pre-installed with an APP that synchronizes information with the information management system.

[0038] Preferably, setting corresponding calculation functions based on the characteristics of each functional component of the mobile ischemic stroke thrombolysis system includes the following steps: S1.1 configures iterative functions for medical mobile devices to obtain more accurate medical examination data; S1.2 Configure computational equations for the cloud server to improve the accuracy of medical reports or health check-up reports; S1.3 Configure the deviation function for the patient client to accurately determine the patient's identity information; S1.4 configures summary functions for expert clients and hospital terminals to ensure the efficiency and accuracy of report output.

[0039] The iteration function is:

[0040] Where m is the iteration number, F0 is the iteration trigger factor, S0 is the standard value of the iteration parameter, which is the medical examination data, and a nB is the iteration coefficient for determining the element; Through iterative calculations, the medical examination data collected by mobile medical devices can more closely reflect the actual condition of patients.

[0041] The operational equation is:

[0042] Where x represents the patient's medical report or health check-up report; t represents time; Q represents the patient's real-time body temperature; z represents the patient's age; A represents the area of ​​the mobile ischemic stroke thrombolysis system; B represents the distance between the patient and the mobile ischemic stroke thrombolysis system; q i ρ is the temperature change per unit time; n is the reference rate of change; i Air parameters for mobile ischemic stroke thrombolysis systems; h i The system identifies the labeled parameters of the mobile ischemic stroke thrombolysis system. By decomposing and calculating the computational equations, and combining the mobile ischemic stroke thrombolysis system with the diagnosis and treatment report or health check-up report, the most suitable treatment plan for the patient is obtained.

[0043] The deviation function is: δ(x) i = s(E, E) n )|x i -X|+(1- s(E,E n ))|x i -θ| Where, x i The set of various motor function indicators of the patient, s(E, E) n ) is a bias binary function, θ is the convolutional reference model, n is the label of the set of various motor function indicators, and X is the reference set of the set of various motor function indicators; The patient's identity information and specific details are verified based on the calculated value of the deviation function, and the degree of difference between the patient's actual set of various motor function indicators and the reference set of various motor function indicators is obtained.

[0044] Through the calculation and analysis of the above mathematical model, the most suitable treatment plan can be provided to patients efficiently and accurately.

[0045] Specifically, the medical mobile terminal includes a video monitoring unit, which is used to acquire image and video information inside the mobile ischemic stroke thrombolysis vehicle. The information storage unit is used to acquire and store the image and video information uploaded by the video monitoring unit and transmit the image and video information to the expert user terminal through the APP. The medical mobile terminal also includes a mobile communication unit, which is the mobile user terminal of the remote consultation system. The expert user terminal also includes a mobile communication unit, which is the expert user terminal of the remote consultation system. The mobile user terminal and the expert user terminal of the remote consultation system form the communication network transmission of the remote consultation system based on the 5G network.

[0046] In summary, the configuration method of a mobile ischemic stroke thrombolysis system in this embodiment of the invention is based on the synergistic effect of multiple functional components, builds multiple types of data models, and combines specific automated algorithms to collect and calculate multiple examination parameters of the patient, thereby improving the overall working efficiency and accuracy of the mobile ischemic stroke thrombolysis system, minimizing the time from pre-hospital to in-hospital treatment, shortening the time for patient treatment, avoiding secondary referrals, and thus shortening the time from stroke onset to treatment.

[0047] The above specific embodiments should not be construed as limiting the scope of protection of the present invention. For those skilled in the art, any alternative improvements or modifications made to the embodiments of the present invention shall fall within the scope of protection of the present invention.

[0048] Any aspects of this invention not described in detail are well-known to those skilled in the art.

Claims

1. A method for configuring a mobile thrombolysis system for ischemic stroke, characterized in that, The configuration method includes the following steps: S1, set the corresponding operation functions according to the characteristics of each functional component of the mobile ischemic stroke thrombolysis system; S2 establishes a data transmission network between multiple functional components to enable the transmission and interaction of data parameters; S3, combining the calculation results of the above multiple operation functions, collect multiple parameters of the patient to make a preliminary judgment on the patient's basic information and specific condition; S4 summarizes and analyzes data within the mobile ischemic stroke thrombolysis system, generates treatment recommendations, and obtains corresponding treatment plans based on the patient's specific condition.

2. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 1, characterized in that: The mobile ischemic stroke thrombolysis system includes: A medical mobile device, used for patient consultation and diagnosis, and for collecting patient medical examination data; The cloud server is used to acquire and store patients' test requests and medical and health data, and to generate diagnosis and treatment reports or health check-up reports. The patient client is used to verify the patient's identity information, collect various motor function indicators of the patient, and synchronously generate medical test data information. The expert client is used to provide remote expert consultations for patients and generate consultation opinion reports; The hospital terminal is used to retrieve test request forms and medical and health data information from the cloud server.

3. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 2, characterized in that: The patient client includes an information input unit and a stroke data acquisition unit. The information input unit is used to obtain the basic identity information of the person to be examined from the identity code of the person to be examined, and generate a test request form containing the basic identity information and test item information according to the test requirements of the person to be examined. The stroke data acquisition unit is used to obtain the test request form uploaded by the information input unit through the data interface, and collect various motor function indicators of the person to be examined according to the test item information contained in the test request form, and synchronously generate test data information. The expert client includes an information evaluation unit and an information feedback unit. Through the summary and statistical analysis of the test data information by experts, processing opinions are generated. The information feedback unit is used to obtain the consultation opinion report generated by the information evaluation unit and upload the evaluation report to the cloud server for storage.

4. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 3, characterized in that: The information input unit is connected to an external identity reader via a data interface. The identity reader is used to identify the identity code of the person to be examined and transmits the basic identity information to the information input unit via the data interface. The doctor in the mobile ischemic stroke thrombolysis system issues a test request form through the information input unit according to the test requirements of the person to be examined. The stroke data acquisition unit includes a testing device, a first data processing unit, an imaging device, an electrocardiogram (ECG) scanner, and a second data processing unit. The testing device is used to collect various stroke-related indicators of the examinee. The first data processing unit is used to acquire various stroke-related indicators collected by the testing device through conventional methods via a data interface and generate testing data information. The second data processing unit is used to acquire various brain structure indicators and ECG indicators collected by head CT scan through a data interface and generate head imaging data and ECG information.

5. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 2, characterized in that, The steps for setting corresponding calculation functions based on the characteristics of each functional component of the mobile ischemic stroke thrombolysis system include: S1.1 configures iterative functions for medical mobile devices to obtain more accurate medical examination data; S1.2 Configure computational equations for the cloud server to improve the accuracy of medical reports or health check-up reports; S1.3 Configure the deviation function for the patient client to accurately determine the patient's identity information; S1.4 configures summary functions for expert clients and hospital terminals to ensure the efficiency and accuracy of report output.

6. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 5, characterized in that, The iteration function is: Where m is the iteration number, F0 is the iteration trigger factor, S0 is the standard value of the iteration parameter, which is the medical examination data, and a n B is the iteration coefficient for determining the element; Through iterative calculations, the medical examination data collected by mobile medical devices can more closely reflect the actual condition of patients.

7. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 5, characterized in that, The operational equation is: Where x represents the patient's medical report or health check-up report; t represents time; Q represents the patient's real-time body temperature; z represents the patient's age; A represents the area of ​​the mobile ischemic stroke thrombolysis system; B represents the distance between the patient and the mobile ischemic stroke thrombolysis system; q i ρ is the temperature change per unit time; n is the reference rate of change; i Air parameters for mobile ischemic stroke thrombolysis systems; h i Labeled parameters representing mobile ischemic stroke thrombolysis systems; By breaking down and calculating the computational equations, and combining them with the mobile ischemic stroke thrombolysis system and the diagnosis or health check-up report, the most suitable treatment plan for the patient can be obtained.

8. The configuration method of a mobile ischemic stroke thrombolysis system according to claim 5, characterized in that, The deviation function is: δ(x i )= s(E,E n )|x i -X|+(1- s(E,E n ))|x i -θ| Where, x i The set of various motor function indicators of the patient, s(E, E) n ) is a bias binary function, θ is the convolutional reference model, n is the label of the set of various motor function indicators, and X is the reference set of the set of various motor function indicators; The patient's identity information and specific details are verified based on the calculated value of the deviation function, and the degree of difference between the patient's actual set of various motor function indicators and the reference set of various motor function indicators is obtained.

Images