Coronary intervention postoperative rehabilitation monitoring method and system

Abstract

The invention discloses a coronary intervention postoperative rehabilitation monitoring method and system, and relates to the technical field of postoperative rehabilitation, and the method comprises the steps: collecting patient data, and carrying out the preprocessing of the collected patient data; constructing a patient coronary artery three-dimensional model, and visually displaying patient data; calculating a rehabilitation state score of the patient, and performing comprehensive evaluation; performing encryption protection on the patient data and storing the patient data in a database; according to the method, the ultrahigh-precision flow velocity sensor is installed on the coronary artery of the patient, the three-dimensional model of the coronary artery of the patient is constructed, and the data of the patient is visualized, so that the data of the patient is collected in real time, the efficiency and accuracy of data collection are improved, a data basis is provided for subsequent data analysis and formulation of a rehabilitation treatment scheme, and the method is suitable for popularization and application. And the structure and the state of the coronary artery of the patient are intuitively displayed, so that medical staff can clearly know the coronary artery condition of the patient, and the medical staff can be assisted in evaluation and treatment of postoperative rehabilitation.

Description

Technical Field

[0001] The present invention relates to the technical field of postoperative rehabilitation, and in particular to a method for monitoring postoperative rehabilitation of coronary intervention surgery. Background Art

[0002] Percutaneous coronary intervention (PCI), as one of the main methods for treating coronary heart disease, has made significant progress in the field of medical technology in recent years. With the continuous optimization of interventional technology and the development of imaging technology, the success rate of PCI surgery and the effect of postoperative rehabilitation have been greatly improved. However, postoperative rehabilitation monitoring is still a key link. The current postoperative rehabilitation monitoring of percutaneous coronary intervention mainly relies on regular clinical follow-up, imaging examinations and traditional laboratory data analysis. These traditional monitoring methods can provide certain postoperative rehabilitation data, but they have certain limitations in data collection and processing. With the rise of medical big data and information technology, some emerging technical means have been introduced into postoperative rehabilitation monitoring, including individualized evaluation based on data analysis, visualization technology and data encryption protection technology.

[0003] Although the existing technology has made considerable progress in rehabilitation monitoring after coronary intervention, there are still significant shortcomings. First, traditional rehabilitation monitoring methods mainly rely on the subjective judgment of doctors and lack systematic and scientific evaluation standards, which easily leads to inaccuracy and lack of consistency in rehabilitation evaluation. Second, the existing technology is often unable to achieve dynamic and systematic management and comprehensive analysis of patient data, resulting in limited real-time tracking and evaluation of the rehabilitation process. Traditional imaging examinations and laboratory data analysis are usually unable to fully and timely reflect the patient's rehabilitation status. Furthermore, with the increasing attention paid to data security issues, the existing technology has certain security risks in protecting the privacy of patient data, which may lead to the leakage of patient data. Summary of the invention

[0004] In view of the problems existing in the above-mentioned existing methods for monitoring rehabilitation after coronary intervention surgery, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that the existing technology is unable to achieve dynamic and systematic management and comprehensive analysis of patient data, resulting in limited real-time tracking and evaluation of the rehabilitation process.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for postoperative rehabilitation monitoring after coronary intervention surgery, which includes collecting patient data and preprocessing the collected patient data; constructing a three-dimensional model of the patient's coronary artery and visually displaying the patient data; calculating the patient's rehabilitation status score and performing a comprehensive evaluation; encrypting and protecting the patient data and storing it in a database.

[0007] As a preferred solution of the method for monitoring rehabilitation after coronary intervention surgery described in the present invention, the collecting of patient data includes:

[0008] An ultra-high precision flow velocity sensor is installed on the patient's coronary artery and a mobile medical device is used to collect patient data in real time. The patient data is transmitted to a database through wireless communication technology. The patient data includes heart rate, coronary blood flow velocity, mean arterial pressure, vascular cross-sectional area, cholesterol concentration and high-density lipoprotein concentration. The mobile medical device includes a blood lipid detector, a heart rate detector and a blood pressure meter. The sampling frequency of the ultra-high precision flow velocity sensor is set to once per minute, and the blood flow value of each measurement is recorded.

[0009] As a preferred solution of the post-operative rehabilitation monitoring method for coronary intervention surgery described in the present invention, the pre-processing of the collected patient data includes:

[0010] Perform data cleaning, data interpolation and smoothing, and data standardization on the collected patient data;

[0011] The data cleaning refers to removing noise and outliers in the data using moving average filtering;

[0012] The data interpolation and smoothing refers to using linear interpolation method to fill in missing data and using weighted moving average method to smooth data;

[0013] The data standardization refers to normalizing the patient data.

[0014] As a preferred solution of the post-operative rehabilitation monitoring method for coronary intervention surgery described in the present invention, wherein: the construction of a three-dimensional model of the patient's coronary arteries and the visual display of the patient's data refer to,

[0015] Using Unity as the development platform, 3D modeling software Blender and SketchUp were used to create a 3D model of the patient's coronary artery based on the preprocessed patient data;

[0016] Create an interactive interface for the patient's coronary artery 3D model using React.js and Three.js technologies, and then use JavaScript and C# programming languages ​​to implement interactive functions with the virtual simulation interactive interface;

[0017] The created patient coronary artery 3D model is integrated into the interactive interface using the application programming interface (API), and the patient coronary artery 3D model and the interactive interface are displayed in the browser using the WebGL framework;

[0018] Map patient data collected in real time into the patient's coronary artery 3D model.

[0019] As a preferred embodiment of the method for monitoring rehabilitation after coronary intervention surgery described in the present invention, the calculation of the patient's rehabilitation status score includes:

[0020] Arteriosclerosis index AI is calculated based on cholesterol concentration TC and high-density lipoprotein concentration HDL-C:

[0021]

[0022] Calculate the mean coronary blood flow CBF mean :

[0023]

[0024] Where N is the total number of measurements, CBF t is the coronary blood flow value at the tth time point;

[0025] Calculate the coronary blood flow index CBFI based on the coronary blood flow data:

[0026]

[0027] Among them, CBF max is the maximum value of coronary blood flow, CBF min is the minimum value of coronary blood flow, CBF mean is the average value of coronary blood flow, HR mean is the average of the user’s heart rate;

[0028] Calculate the blood flow resistance index BFRI:

[0029]

[0030] Wherein, MAP is mean arterial pressure;

[0031] The RR interval data recorded for a period of time when the patient is at rest is:

[0032] {RR1,RR2,...,RR m}

[0033] Where, m is the total number of RR interval measurements;

[0034] Based on the RR interval data, the RR interval standard deviation SDNN and root mean square deviation RMSSD are calculated, and the heart rate variability index RHVI is calculated:

[0035]

[0036] The patient's recovery status score S is calculated based on the coronary blood flow index CBFI, blood flow resistance index BFRI and heart rate variability index RHVI:

[0037] S = w1·CFBI + w2·BFRI + w3·RHVI

[0038] Where w1, w2, and w3 are the weight coefficients of the coronary blood flow index CBFI, blood flow resistance index BFRI, and heart rate variability index RHVI, respectively.

[0039] As a preferred solution of the postoperative rehabilitation monitoring method for coronary intervention surgery described in the present invention, wherein: the comprehensive evaluation includes,

[0040] Setting a patient rehabilitation status score threshold Sl and comparing it with the patient rehabilitation status score S:

[0041] If S ≥ Sl, it is determined that the patient's physical condition is abnormal, triggering an alarm mechanism and sending an alarm message to medical staff, the patient, and their family members for processing;

[0042] If S < Sl, it is determined that the patient's physical condition is good, and aerobic exercise and relaxation exercises are increased;

[0043] According to the comprehensive evaluation results, an analysis report on the patient's physical rehabilitation status is generated and synchronously sent to the mobile phones of the patient and their family members, the mobile phones of medical staff, and the hospital medical system.

[0044] As a preferred solution of the postoperative rehabilitation monitoring method for coronary intervention surgery described in the present invention, wherein: the encryption protection and storage of patient data in the database include,

[0045] Using the symmetric encryption algorithm AES to encrypt the patient data in the database;

[0046] Setting the access rights and authorization scope of information, allowing medical staff within the hospital to access patient data, and during the data collection and use process, the hospital provides an informed consent form to the patient;

[0047] Using the Secure Sockets Layer protocol TLS for secure data transmission in the hospital internal network and data transmission with external systems;

[0048] Based on the secure database management system DBMS, implementing data backup and recovery as well as audit log recording functions, tracking and monitoring data access activities, and regularly conducting security audits and vulnerability scans.

[0049] As a preferred solution of a postoperative rehabilitation monitoring system for coronary intervention surgery described in the present invention, it includes,

[0050] A data acquisition and preprocessing module for acquiring patient data and preprocessing the patient data;

[0051] Visualization display module, used to build a three-dimensional model of the patient's coronary artery and visualize the patient's data;

[0052] Data analysis and evaluation module, used to calculate the patient's physical rehabilitation score and evaluate the patient's physical condition;

[0053] The encryption and storage module is used to encrypt patient data and store it in the database.

[0054] A computer device comprises: a memory and a processor; the memory stores a computer program, and the processor implements the steps of the above-mentioned coronary intervention surgery postoperative rehabilitation monitoring method when executing the computer program.

[0055] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned coronary intervention surgery postoperative rehabilitation monitoring method.

[0056] The beneficial effects of the present invention are as follows: the present invention installs an ultra-high precision flow velocity sensor on the patient's coronary artery, constructs a three-dimensional model of the patient's coronary artery, visualizes the patient's data, realizes real-time collection of patient data, improves the efficiency and accuracy of data collection, provides a data basis for subsequent data analysis and formulation of rehabilitation treatment plans, and intuitively displays the structure and status of the patient's coronary artery, helping medical staff to understand the patient's coronary artery condition more clearly, and assisting medical staff in conducting postoperative rehabilitation assessment and treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0058] Figure 1 This is a flow chart of the postoperative rehabilitation monitoring method for coronary intervention surgery.

[0059] Figure 2 Schematic diagram of the process of comprehensive assessment for calculating the patient's recovery status score.

[0060] Figure 3 This is a structural diagram of the postoperative rehabilitation monitoring system for coronary intervention surgery. DETAILED DESCRIPTION

[0061] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.

[0062] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0063] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0064] Example 1

[0065] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for monitoring rehabilitation after coronary intervention surgery. The method for monitoring rehabilitation after coronary intervention surgery includes:

[0066] S1. Collect patient data and pre-process the collected patient data;

[0067] Furthermore, collecting patient data includes,

[0068] An ultra-high precision flow velocity sensor is installed on the patient's coronary artery and a mobile medical device is used to collect patient data in real time. The patient data is transmitted to a database through wireless communication technology. The patient data includes heart rate, coronary blood flow velocity, mean arterial pressure, vascular cross-sectional area, cholesterol concentration and high-density lipoprotein concentration. The mobile medical device includes a blood lipid detector, a heart rate detector and a blood pressure meter. The sampling frequency of the ultra-high precision flow velocity sensor is set to once per minute, and the blood flow value of each measurement is recorded.

[0069] By installing ultra-high precision flow rate sensors on the patient's coronary artery and using mobile medical equipment, real-time collection of patient data is achieved, providing timely and accurate physiological parameters, helping medical staff to monitor the patient's physiological state in real time during the patient's postoperative rehabilitation process, and providing a reliable data basis for subsequent data analysis and the formulation of rehabilitation treatment plans.

[0070] Furthermore, the collected patient data is preprocessed including,

[0071] Perform data cleaning, data interpolation and smoothing, and data standardization on the collected patient data;

[0072] The data cleaning refers to removing noise and outliers in the data using moving average filtering;

[0073] The data interpolation and smoothing refers to using linear interpolation method to fill in missing data and using weighted moving average method to smooth data, reduce data fluctuation and jitter, and improve data stability;

[0074] The data standardization refers to normalizing the patient data to facilitate subsequent analysis and comparison.

[0075] By performing data cleaning, data interpolation, data smoothing and data standardization on the collected patient data, interference factors in the data are eliminated, the purity of the data is ensured, the missing parts in the data collection are compensated, the data fluctuations are smoothed, the jitter is reduced, the continuity and stability of the data are enhanced, and high-quality data is provided for subsequent data analysis. The consistency and comparability of data analysis are improved through data standardization, which facilitates the comprehensive analysis of multiple parameters.

[0076] S2. Build a three-dimensional model of the patient's coronary artery and visualize the patient's data;

[0077] Furthermore, a three-dimensional model of the patient's coronary artery is constructed to visualize the patient's data.

[0078] Using Unity as the development platform, 3D modeling software Blender and SketchUp were used to create a 3D model of the patient's coronary artery based on the preprocessed patient data;

[0079] Create an interactive interface for the patient's coronary artery 3D model using React.js and Three.js technologies, and then use JavaScript and C# programming languages ​​to implement interactive functions with the virtual simulation interactive interface;

[0080] The created patient coronary artery 3D model is integrated into the interactive interface using the application programming interface (API), and the patient coronary artery 3D model and the interactive interface are displayed in the browser using the WebGL framework;

[0081] Map patient data collected in real time into the patient's coronary artery 3D model.

[0082] By constructing a three-dimensional model of the patient's coronary artery and creating an interactive interface, the anatomical structure and functional status of the patient's coronary artery can be accurately reflected, allowing medical staff to intuitively observe the morphology and blood flow of the patient's coronary artery, improving the doctor's understanding of the patient's coronary artery condition, and helping to discover potential vascular stenosis and arteriosclerosis problems, thereby making more accurate diagnosis and treatment decisions. The interactive interface allows medical staff, patients, and their families to interact with the patient's coronary artery three-dimensional model to further understand the internal structure and dynamic changes of the coronary artery, enhance the user experience, make complex medical data and anatomical structures easy to understand and analyze, and facilitate communication and discussion between medical staff and patients. The patient's coronary artery three-dimensional model provides a comprehensive and global perspective, making the changes and interrelationships of multiple physiological parameters clear at a glance, which helps to comprehensively assess the patient's health status, formulate personalized rehabilitation plans, improve the accuracy and effectiveness of treatment plans, and reduce the blindness and risks of treatment.

[0083] S3. Calculate the patient's recovery status score and conduct a comprehensive assessment;

[0084] Furthermore, the calculation of the patient's recovery status score includes,

[0085] Arteriosclerosis index AI is calculated based on cholesterol concentration TC and high-density lipoprotein concentration HDL-C:

[0086]

[0087] Calculate the mean coronary blood flow CBF mean :

[0088]

[0089] Where N is the total number of measurements, CBF t is the coronary blood flow value at the tth time point;

[0090] Calculate the coronary blood flow index CBFI based on the coronary blood flow data:

[0091]

[0092] Among them, CBF max is the maximum value of coronary blood flow, CBF min is the minimum value of coronary blood flow, CBF mean is the average value of coronary blood flow, HR mean is the average of the user’s heart rate;

[0093] Calculate the blood flow resistance index BFRI:

[0094]

[0095] Among them, MAP is the mean arterial pressure;

[0096] Record the RR interval data of the patient for a period of time when in a resting state as:

[0097] {RR1, RR2,..., RR m}

[0098] Among them, m is the total number of RR interval measurements;

[0099] Based on the RR interval data, calculate the standard deviation of RR interval SDNN and the root mean square difference RMSSD, and calculate the heart rate variability index RHVI:

[0100]

[0101] According to the coronary blood flow index CBFI, blood flow resistance index BFRI, and heart rate variability index RHVI, calculate the patient's rehabilitation status score S:

[0102] S = w1·CFBI + w2·BFRI + w3·RHVI

[0103] Among them, w1, w2, and w3 are the weight coefficients of the coronary blood flow index CBFI, blood flow resistance index BFRI, and heart rate variability index RHVI respectively, and the weight coefficients are determined according to expert evaluation.

[0104] By calculating physiological indices based on the collected data, including the arteriosclerosis index AI, coronary blood flow index CBFI, blood flow resistance index BFRI, and heart rate variability index RHVI, and finally calculating the patient's rehabilitation status score S, a multi-dimensional and quantitative assessment of the patient's rehabilitation status is achieved. Through multi-dimensional analysis of the patient's physiological indicators, the accuracy of diagnosis is enhanced, the patient's rehabilitation situation is comprehensively and accurately reflected. And medical staff can dynamically adjust the treatment plan based on the change of the score, improve the personalization and effectiveness of treatment, provide a scientific basis for the rehabilitation management of the patient after surgery, and enhance the scientificity and systematicness of rehabilitation monitoring and management.

[0105] Furthermore, comprehensive evaluation includes,

[0106] Set the patient's rehabilitation status score threshold Sl, and compare it with the patient's rehabilitation status score S:

[0107] If S ≥ Sl, it is determined that the patient's physical condition is abnormal, trigger the alarm mechanism and send alarm information to medical staff, the patient and their families for handling;

[0108] If S < Sl, it is determined that the patient's physical condition is good, and aerobic exercise and relaxation exercises are increased;

[0109] Based on the comprehensive assessment results, an analysis report on the patient's physical rehabilitation status is generated and sent simultaneously to the patient's and his / her family's mobile phones, medical staff's mobile phones and the hospital's medical system. Medical staff refer to the patient's physical rehabilitation status analysis report to update the rehabilitation treatment plan in real time.

[0110] By comparing the patient's rehabilitation status score S with the set threshold S1 and generating a patient physical rehabilitation status analysis report, the patient's rehabilitation status can be monitored. When abnormalities are found, an early warning can be issued immediately to notify medical staff, patients and their families, and handle abnormal situations in a timely manner, reducing the patient's rehabilitation analysis and improving the safety of the rehabilitation process. In addition, medical staff can understand the patient's actual rehabilitation status based on the patient's physical rehabilitation status analysis report, dynamically adjust the rehabilitation plan, and formulate a more personalized treatment plan for the patient. Patients and their families can understand the rehabilitation status in real time and jointly participate in the adjustment and formulation of the rehabilitation plan, which enhances communication and collaboration between doctors and patients, increases the participation of patients and their families, makes the rehabilitation process more transparent and interactive, and helps to improve patient compliance and rehabilitation effects.

[0111] S4. Encrypt and protect patient data and store them in a database;

[0112] Furthermore, encrypting and protecting the patient data and storing it in a database includes:

[0113] Encrypt patient data in the database using the symmetric encryption algorithm AES;

[0114] Set information access permissions and authorization scopes to allow medical staff within the hospital to access patient data, and during the data collection and use process, the hospital provides patients with informed consent;

[0115] Use Secure Sockets Layer protocol TLS for secure data transmission within the hospital's internal network and with external systems;

[0116] Based on the secure database management system DBMS, implement data backup and recovery and audit log recording functions, track and monitor data access activities, and conduct regular security audits and vulnerability scans.

[0117] By using the symmetric encryption algorithm AES to encrypt patient data and setting data access permissions and authorization scopes, we can protect patient data from unauthorized access and disclosure, prevent data leakage and abuse, ensure that patients' privacy rights are fully protected, ensure the compliance and legality of data access and use, and enhance patients' trust in hospitals and medical staff. It also improves the transparency and traceability of data management, ensures the persistence and availability of data, and prevents data loss and damage.

[0118] Example 2

[0119] Reference Figure 3 , which is the second embodiment of the present invention, and which is different from the previous embodiment, provides a post-operative rehabilitation monitoring system for coronary intervention surgery, including:

[0120] A data acquisition and preprocessing module, used to acquire patient data and preprocess the patient data;

[0121] Visualization display module, used to build a three-dimensional model of the patient's coronary artery and visualize the patient's data;

[0122] Data analysis and evaluation module, used to calculate the patient's physical rehabilitation score and evaluate the patient's physical condition;

[0123] The encryption and storage module is used to encrypt patient data and store it in the database.

[0124] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0125] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0126] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0127] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

Claims

1. A method for monitoring recovery after coronary intervention surgery, characterized in that: include, Collect patient data and pre-process the collected patient data; Construct a 3D model of the patient's coronary arteries and visualize the patient's data; Calculate the patient's recovery status score and conduct a comprehensive assessment; Patient data is encrypted and protected and stored in the database.

2. The method for monitoring postoperative rehabilitation after coronary intervention surgery according to claim 1, characterized in that: The collecting of patient data includes: An ultra-high precision flow velocity sensor is installed on the patient's coronary artery and a mobile medical device is used to collect patient data in real time. The patient data is transmitted to a database through wireless communication technology. The patient data includes heart rate, coronary blood flow velocity, mean arterial pressure, vascular cross-sectional area, cholesterol concentration and high-density lipoprotein concentration. The mobile medical device includes a blood lipid detector, a heart rate detector and a blood pressure meter. The sampling frequency of the ultra-high precision flow velocity sensor is set to once per minute, and the blood flow value of each measurement is recorded.

3. The method for monitoring postoperative rehabilitation after coronary intervention surgery according to claim 2, characterized in that: The preprocessing of the collected patient data includes: Perform data cleaning, data interpolation and smoothing, and data standardization on the collected patient data; The data cleaning refers to removing noise and outliers in the data using moving average filtering; The data interpolation and smoothing refers to using linear interpolation method to fill in missing data and using weighted moving average method to smooth data; The data standardization refers to normalizing the patient data.

4. The method for monitoring postoperative rehabilitation after coronary intervention surgery according to claim 3, characterized in that: The constructing of the patient's coronary artery three-dimensional model and visual display of the patient's data refers to: Using Unity as the development platform, 3D modeling software Blender and SketchUp were used to create a 3D model of the patient's coronary artery based on the preprocessed patient data; Create an interactive interface for the patient's coronary artery 3D model using React.js and Three.js technologies, and then use JavaScript and C# programming languages ​​to implement interactive functions with the virtual simulation interactive interface; The created patient coronary artery 3D model is integrated into the interactive interface using the application programming interface (API), and the patient coronary artery 3D model and the interactive interface are displayed in the browser using the WebGL framework; Map patient data collected in real time into the patient's coronary artery 3D model.

5. The method for monitoring postoperative rehabilitation after coronary intervention surgery according to claim 4, characterized in that: The calculation of the patient's recovery status score comprises: Arteriosclerosis index AI is calculated based on cholesterol concentration TC and high-density lipoprotein concentration HDL-C: Calculate the mean coronary blood flow CBF mean : Where N is the total number of measurements, CBF t is the coronary blood flow value at the tth time point; Calculate the coronary blood flow index CBFI based on the coronary blood flow data: Among them, CBF max is the maximum value of coronary blood flow, CBF min is the minimum value of coronary blood flow, CBF mean is the average value of coronary blood flow, HR mean is the average of the user’s heart rate; Calculate the blood flow resistance index BFRI: Wherein, MAP is mean arterial pressure; The RR interval data recorded for a period of time when the patient is at rest is: {RR1,RR2,...,RR m } Where, m is the total number of RR interval measurements; Based on the RR interval data, the RR interval standard deviation SDNN and root mean square deviation RMSSD are calculated, and the heart rate variability index RHVI is calculated: The patient's recovery status score S is calculated based on the coronary blood flow index CBFI, blood flow resistance index BFRI and heart rate variability index RHVI: S=w1·CFBI+w2·BFRI+w3·RHVI Among them, w1, w2 and w3 are the weight coefficients of coronary blood flow index CBFI, blood flow resistance index BFRI and heart rate variability index RHVI respectively.

6. The method for monitoring postoperative rehabilitation after coronary intervention surgery according to claim 5, characterized in that: The comprehensive assessment includes: Set the threshold value Sl of the patient's rehabilitation status score and compare it with the patient's rehabilitation status score S: If S≥Sl, it is determined that the patient's physical condition is abnormal, trigger the alarm mechanism and send alarm information to medical staff, the patient and their family members for handling; If S<Sl, it is determined that the patient's physical condition is good, and aerobic exercise and relaxation exercises are increased; According to the comprehensive evaluation results, generate an analysis report on the patient's physical rehabilitation status and synchronously send it to the mobile phones of the patient and their family members, the mobile phones of medical staff and the hospital medical system.

7. The method for monitoring postoperative rehabilitation after coronary intervention surgery according to claim 6, characterized in that: The encryption protection and storage of patient data in the database includes Using the symmetric encryption algorithm AES to encrypt the patient data in the database; Set the access rights and authorization scope of information, allow medical staff in the hospital to access patient data, and during the data collection and use process, the hospital provides an informed consent form to the patient; Use the Secure Sockets Layer protocol TLS for secure data transmission in the hospital internal network and data transmission with external systems; Based on the secure database management system DBMS, implement data backup and recovery and audit log recording functions, track and monitor data access activities, and conduct regular security audits and vulnerability scans.

8. A coronary intervention postoperative rehabilitation monitoring system for the coronary intervention postoperative rehabilitation monitoring method according to any one of claims 1-7, characterized in that: A data acquisition and preprocessing module, configured to acquire patient data and preprocess the patient data; A visualization display module, configured to construct a three-dimensional coronary model of the patient and visually display the patient data; A data analysis and evaluation module, configured to calculate the patient's physical rehabilitation score and evaluate the patient's physical condition; An encryption and storage module, configured to encrypt patient data and store it in a database.

9. A computer device comprising: A memory and a processor; The memory stores a computer program, characterized in that: when the processor executes the computer program, the steps of the coronary intervention postoperative rehabilitation monitoring method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the coronary intervention postoperative rehabilitation monitoring method according to any one of claims 1 to 7 are implemented.

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