Heart disease rehabilitation follow-up visit data management system and method based on data tracking

Abstract

The invention relates to the technical field of medical information, and particularly discloses a heart disease rehabilitation follow-up visit data management system and method based on data tracking, and the system collects health state data and activity level data of a patient, analyzes the data, and calculates a heart rate fluctuation index and a blood pressure fluctuation index; the heart rate and the blood pressure stability of the patient are evaluated; the activity time ratio of each patient is calculated, and a fitness score is calculated through a comprehensive formula and used for judging whether the health state of the patient is suitable for the current activity level or not; according to the fitness score, the patients are classified into two types of suitable activities and non-suitable activities; for patients suitable for activities, the system suggests to maintain the current activity level and properly reduces the monitoring frequency; for patients not suitable for activities, the monitoring frequency is enhanced, and rehabilitation ability scores are obtained through comprehensive analysis; finally, according to comparison of the rehabilitation ability score and a preset threshold value, whether a treatment scheme needs to be adjusted or not is determined.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to a heart disease rehabilitation follow-up data management system and method based on data tracking. Background Art

[0002] With the accelerated aging of society and changes in lifestyles, cardiovascular disease has become a major public health challenge worldwide. Heart disease patients need continuous monitoring and support during the rehabilitation process to ensure that their health status is properly managed and improved. Traditional rehabilitation follow-up methods usually rely on regular hospital visits and manual records, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and personalized rehabilitation guidance. Therefore, it is particularly important to develop a system that can monitor the patient's health status and activity level in real time and adjust the treatment plan based on the monitoring data.

[0003] In recent years, with the development of Internet of Things technology and wearable devices, more and more smart devices have been used in the field of health management. These devices can monitor users' physiological indicators, such as heart rate and blood pressure, in real time, and transmit data to the cloud for analysis through wireless communication technology. However, existing heart disease rehabilitation management systems often lack comprehensive assessment of patients' health status and personalized guidance on activity levels, which may lead to patients facing the risk of excessive or insufficient activity during the rehabilitation process, affecting the rehabilitation effect.

[0004] The present invention is proposed based on this background, and aims to achieve real-time monitoring, health status assessment, activity level guidance and formulation of personalized rehabilitation plans for heart disease patients by integrating multiple monitoring means and technical means; through comprehensive analysis of patient health status data and activity level data, the present invention can effectively evaluate the patient's rehabilitation progress, adjust the treatment plan, improve the patient's rehabilitation quality and safety, while optimizing the allocation of medical resources and improving patient satisfaction. Summary of the invention

[0005] The purpose of the present invention is to provide a data management system and method for heart disease rehabilitation follow-up based on data tracking, which evaluates the health status and activity level of patients through real-time monitoring and data analysis, and then adjusts the treatment plan and rehabilitation plan. First, the system collects the patient's health status data (including heart rate data and blood pressure data) and activity level data (including activity time and walking steps) through devices such as smart watches, chest strap heart rate monitors and blood pressure monitors. Subsequently, the system analyzes these data and calculates the heart rate fluctuation index and blood pressure fluctuation index to evaluate the patient's heart rate and blood pressure stability. At the same time, the system also calculates the activity time ratio of each patient, and calculates the suitability score through a comprehensive formula to determine whether the patient's health status is suitable for the current activity level. According to the suitability score, patients are divided into two categories: suitable for activity and unsuitable for activity. For patients who are suitable for activity, the system recommends maintaining the current activity level and appropriately reducing the monitoring frequency; for patients who are not suitable for activity, the monitoring frequency is increased, and their rehabilitation ability characteristic data are analyzed, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics and endurance characteristics, and the rehabilitation ability score is obtained through comprehensive analysis. Finally, based on the comparison between the rehabilitation ability score and the preset threshold, it is decided whether the treatment plan needs to be adjusted. The present invention provides strong support for the rehabilitation of heart disease patients through real-time monitoring and dynamic evaluation, which helps doctors and patients better understand the rehabilitation progress of patients and adjust the treatment plan or provide personalized rehabilitation suggestions accordingly, thereby improving the rehabilitation quality and safety of patients.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A heart disease rehabilitation follow-up data management method based on data tracking, comprising the following steps:

[0008] S1: Acquire health status data of a heart disease patient, wherein the health status data includes heart rate data and blood pressure data, and acquire activity level data of the heart disease patient, wherein the activity level data includes activity time data and walking step count data;

[0009] S2: Compare and analyze the health status data and activity level data to determine the suitability of the current heart disease patient's activity level and classify the currently monitored heart disease patients into those who are suitable for activity and those who are not suitable for activity;

[0010] S3: Maintain the current activity level of patients with heart disease who are suitable for activities and reduce the frequency of continuous monitoring; strengthen the monitoring frequency of patients with heart disease who are not suitable for activities, adjust their activity level, and analyze the rehabilitation ability of patients with heart disease who are not suitable for activities;

[0011] S4: Determine whether the treatment plan of patients with inactive heart disease needs to be adjusted based on their recovery ability.

[0012] As a further solution of the present invention: a group of heart disease patients are monitored in real time, and the heart rate fluctuation index ρi of each heart disease patient is obtained by calculation. The process of obtaining the heart rate fluctuation index ρi is:

[0013] The heart beats per minute of the heart disease patient are collected in time series, xi j; where i represents the i-th heart disease patient; j represents the heart beats collected in the j-th minute of the i-th patient. The heart beats in the j-th minute are calculated by difference with the heart beats in the j-1-th minute, and the absolute value is taken to obtain the heart beat deviation value, which is recorded as Δxi j-1 ; Calculate the average value μi and standard deviation σi of the heart rate deviation value of each heart disease patient during the monitoring week; Calculate the heart rate fluctuation index ρi of each heart disease patient.

[0014] As a further solution of the present invention: a group of heart disease patients are monitored in real time, and the blood pressure fluctuation index τi of each heart disease patient is obtained by calculation. The process of obtaining the blood pressure fluctuation index τi is:

[0015] Collect the blood pressure values ​​of heart disease patients Yij according to the time series, where i represents the i-th heart disease patient and j represents the blood pressure value of the i-th heart disease patient at the j-th minute; calculate the blood pressure standard deviation γi and average value αi of all heart disease patients during the monitoring period, and obtain the maximum blood pressure value Yimax and the minimum blood pressure value Yimin;

[0016] The blood pressure fluctuation index τi is calculated.

[0017] As a further solution of the present invention: health status data and activity level data are compared and analyzed to calculate the fitness score θi of the health status of each heart disease patient to the activity level. The process of obtaining the fitness score θi is as follows:

[0018] Obtain the total activity time ti and the total number of steps ni of the heart disease patient in a day; divide the total activity time of each heart disease patient by the total monitoring period time to obtain the activity time ratio, recorded as tiy;

[0019] The suitability score θi of each heart disease patient’s health status to activity level is calculated.

[0020] As a further solution of the present invention: the process of dividing the fitness of the health status of the heart disease patient to the activity level is as follows:

[0021] If the suitability score θi is greater than or equal to the preset suitability score threshold, the patient is recorded as a suitable heart disease patient; if the suitability score θi is less than the preset suitability score threshold, the patient is recorded as an unsuitable heart disease patient.

[0022] As a further solution of the present invention: based on the patient's appropriate level of heart disease, continue to maintain the current activity level and reduce the monitoring frequency.

[0023] As a further solution of the present invention: based on the patients with unsuitable heart disease levels, the monitoring frequency of the patients with heart disease who are unsuitable for activities is increased, the activity level is adjusted, and the rehabilitation ability of the patients with heart disease who are unsuitable for activities is analyzed.

[0024] As a further solution of the present invention: the rehabilitation ability acquisition process of the heart disease patient who is not suitable for activities is:

[0025] Obtain the rehabilitation ability characteristic data of each patient, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics, and endurance characteristics, and conduct a comprehensive analysis of the rehabilitation ability characteristic data, health status data, and activity level data, and set up various weight indicators to obtain the rehabilitation ability δi of each heart disease patient.

[0026] As a further solution of the present invention: if the rehabilitation ability score δi is greater than or equal to the preset rehabilitation ability score threshold, the activity level is adjusted; if the rehabilitation ability score δi is less than the preset rehabilitation ability score threshold, the activity level is adjusted, and the patient's condition is further examined, and a treatment adjustment plan is given based on the examination results.

[0027] A heart disease rehabilitation follow-up data management system based on data tracking, including a data collection module, a comparison module, a rehabilitation ability analysis module and an adjustment module;

[0028] A data acquisition module, wherein the data acquisition module acquires health status data of the heart disease patient, wherein the health status data includes heart rate data and blood pressure data, and acquires activity level data of the heart disease patient, wherein the activity level data includes activity time data and walking step number data;

[0029] A comparison module, wherein the comparison module compares and analyzes the health status data and the activity level data to determine the suitability of the current heart disease patient for the activity level, and classifies the currently monitored heart disease patient as suitable for activity or not suitable for activity;

[0030] A rehabilitation ability analysis module, which uses the rehabilitation ability characteristic data of each patient, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics, and endurance characteristics, and performs a comprehensive analysis on the rehabilitation ability characteristic data, health status data, and activity level data;

[0031] The adjustment module determines whether the treatment plan of the patient with inactive heart disease needs to be adjusted according to the rehabilitation ability of the patient with inactive heart disease.

[0032] Beneficial effects of the present invention:

[0033] (1) The present invention provides strong support for the rehabilitation of heart disease patients through real-time monitoring and data analysis. First, through devices such as smart watches, chest-strap heart rate monitors and blood pressure monitors, the system can continuously collect patients' health status data (such as heart rate data and blood pressure data) and activity level data (such as activity time and walking steps). After systematic processing and analysis, these data can accurately evaluate the stability of the patient's heart rate and blood pressure, thereby judging whether the patient's current health status is suitable for the current activity level. This is crucial for the rehabilitation of heart disease patients because it can help doctors and patients understand the changes in their condition in a timely manner, ensure that patients can carry out appropriate physical activities under safe conditions, and avoid health risks caused by excessive fatigue or discomfort; in addition, the system can classify patients into two categories: suitable for activities and unsuitable for activities based on indicators such as the patient's heart rate fluctuation index, blood pressure fluctuation index and suitability score. For patients who are suitable for activities, the system recommends maintaining the current activity level and appropriately reducing the monitoring frequency to reduce unnecessary consumption of medical resources. For patients who are not suitable for activities, the monitoring frequency is increased, and a comprehensive analysis is performed based on the rehabilitation ability characteristic data (such as physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics and endurance characteristics) to obtain the rehabilitation ability score, thereby providing a basis for adjusting the treatment plan. This method not only improves the quality and safety of patients' rehabilitation, but also helps doctors make more scientific and reasonable decisions to ensure that patients achieve the best rehabilitation results.

[0034] (2) The present invention can significantly optimize the allocation of medical resources, reduce unnecessary medical expenses, and improve patient satisfaction. Through real-time monitoring and dynamic evaluation, the system can accurately identify which patients need more frequent monitoring and which patients can appropriately reduce the monitoring frequency. For patients who are suitable for activities, the system recommends maintaining the current activity level and appropriately reducing the monitoring frequency, which can not only reduce the economic burden of patients, but also reduce the waste of medical resources. At the same time, for patients who are not suitable for activities, the system can timely discover potential health risks and take corresponding measures to avoid worsening of the disease, thereby improving the patient's rehabilitation efficiency; in addition, the system can also provide personalized rehabilitation suggestions based on the patient's rehabilitation progress and personal characteristics, including recommending appropriate physical exercise items, exercise intensity and frequency. This personalized rehabilitation plan can better meet the needs of patients and improve their participation and satisfaction. Patients can adjust the amount of activity according to their actual situation, which will not exceed their own tolerance, but can gradually improve their physical fitness and accelerate the rehabilitation process. In summary, the present invention not only improves the rehabilitation quality and safety of heart disease patients, but also optimizes the allocation of medical resources and improves patient satisfaction, with significant social and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 It is a flowchart of a heart disease rehabilitation follow-up data management method based on data tracking of the present invention;

[0037] Figure 2 It is a flowchart of judging the rehabilitation ability of a heart disease patient in the present invention;

[0038] Figure 3 The present invention is a flowchart of a rehabilitation follow-up data management system for heart disease patients. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1 As shown, the present invention is a heart disease rehabilitation follow-up data management method based on data tracking, comprising the following steps:

[0041] S1: Acquire health status data of a heart disease patient, wherein the health status data includes heart rate data and blood pressure data, and acquire activity level data of the heart disease patient, wherein the activity level data includes activity time data and walking step count data;

[0042] S2: Compare and analyze the health status data and activity level data to determine the suitability of the current heart disease patient's activity level and classify the currently monitored heart disease patients into those who are suitable for activity and those who are not suitable for activity;

[0043] S3: Maintain the current activity level of patients with heart disease who are suitable for activities and reduce the frequency of continuous monitoring; strengthen the monitoring frequency of patients with heart disease who are not suitable for activities, adjust their activity level, and analyze the rehabilitation ability of patients with heart disease who are not suitable for activities;

[0044] S4: Determine whether the treatment plan of patients with inactive heart disease needs to be adjusted based on their recovery ability.

[0045] Example 2

[0046] Based on Example 1, a group of heart disease patients are monitored in real time, and the health status data and activity level data of all patients are collected; during the monitoring period of the heart disease patients (such as one day), the heart rate data of the heart disease patients are collected, wherein the heart rate data represents the number of heart beats per minute of the heart disease patients;

[0047] Specifically: collect the number of heart beats xij of the heart disease patient per minute according to the time series; where i represents the i-th heart disease patient, i=1, 2, ..., n; j represents the number of heart beats collected in the j-th minute of the i-th patient, j=1, 2, ..., m; calculate the difference between the number of heart beats in the j-th minute and the number of heart beats in the j-1-th minute, and take the absolute value to obtain the heart beat deviation value, which is recorded as Δxi j-1 ; Calculate the mean value μi and standard deviation σi of the heart beat rate deviation value of each heart disease patient during the monitoring week; by formula The heart rate fluctuation index ρi of each heart disease patient is calculated;

[0048] When the heart rate fluctuation index is larger, it means that the heart rate of the heart patient changes more, and there is a potential risk to the heart health of the heart patient during the monitoring period. When the heart rate fluctuation index is smaller, it means that the heart rate of the heart patient is relatively stable, which means that the heart of the heart patient is in a relatively safe and healthy state.

[0049] It should be noted that the heart rate fluctuation index can be used to evaluate the heart rate stability of patients with heart disease. For a healthy heart, the heart rate should be relatively stable, while larger fluctuations may indicate potential health problems. Therefore, the heart rate fluctuation index can help doctors judge the patient's rehabilitation progress and treatment effect. In the heart disease rehabilitation follow-up data management system, doctors can adjust the treatment plan according to the heart rate fluctuation index of each patient. For example, patients with larger heart rate fluctuations may need more frequent monitoring and more detailed rehabilitation guidance.

[0050] During a monitoring period (e.g., one day) of a heart disease patient, blood pressure data of the heart disease patient is collected, wherein the blood pressure data is a specific value of the blood pressure;

[0051] Specifically: collect the blood pressure values ​​Yij of the heart disease patients according to the time series (such as every minute), where i represents the i-th heart disease patient and j represents the blood pressure value of the i-th heart disease patient at the j-th minute; calculate the blood pressure standard deviation γi and average value αi of all heart disease patients in the monitoring period, and obtain the maximum blood pressure value Yimax and the minimum blood pressure value Yimin;

[0052] By formula The blood pressure fluctuation index τi is calculated;

[0053] It should be noted that: analyze the blood pressure fluctuation index of each heart disease patient to determine which heart disease patients have larger blood pressure fluctuations; adjust the treatment plan or provide personalized rehabilitation 2 suggestions according to the size of the blood pressure fluctuation index; strengthen monitoring of patients with larger blood pressure fluctuations, which may require more frequent monitoring and timely medical intervention.

[0054] During the monitoring period of the heart disease patient (e.g., one day), the activity time data and walking step data of the heart disease patient are collected;

[0055] Specifically: obtain the total activity time ti of the heart disease patient in one day and the total number of steps ni; divide the total activity time of each heart disease patient by the total monitoring period time to obtain the activity time ratio, recorded as tiy;

[0056] By formula Calculate the suitability score θi of each heart disease patient’s health status to activity level;

[0057] Among them, a1 is the heart rate characteristic coefficient, a2 is the blood pressure characteristic coefficient, a3 is the activity time ratio characteristic coefficient, a4 is the walking step characteristic coefficient, and a1>a2>a3>a4>0;

[0058] Compare the fitness score θi with the preset fitness score threshold;

[0059] If the fitness score θi is greater than or equal to the preset fitness score threshold, it means that the current health status of the corresponding patient is normal and suitable for the current activity level;

[0060] If the fitness score θi is less than the preset fitness score threshold, it means that the current health status of the corresponding patient is abnormal and not suitable for the current activity level;

[0061] It should be noted that the suitability score of each heart disease patient is analyzed to determine which heart disease patients are most suitable for the activity level. The larger the suitability score, the better the current health status of the heart disease patient and the better the suitability for the current activity level. This helps doctors and patients better understand the patient's rehabilitation progress and adjust the treatment plan or provide personalized rehabilitation advice accordingly.

[0062] It should be noted that: choose a smart watch or chest-worn heart rate monitor with real-time data transmission function to monitor heart rate in real time, choose a blood pressure monitor to regularly record blood pressure data, and use a smart bracelet to monitor the patient's activity time and walking steps; ensure that all devices can be connected to the patient's smartphone or tablet, and can transmit data to mobile applications or cloud platforms in real time via Bluetooth or Wi-Fi; set up automatic data synchronization function to ensure timely data updates; use data processing algorithms to clean the collected data.

[0063] Example 3

[0064] Based on Example 2, for patients with heart disease who are suitable for activities, the monitoring frequency can be appropriately reduced by continuing to maintain the current activity level;

[0065] It should be noted that: if the patient's heart rate fluctuation index and blood pressure fluctuation index are both within the normal range and the activity level is appropriate, the monitoring frequency can be reduced from once a minute to once an hour or less; provide personalized rehabilitation suggestions based on the patient's health status and activity level, including recommendations for appropriate physical exercise programs, exercise intensity and frequency, etc.; encourage patients to continue to maintain or gradually increase their activity, but ensure that the activity does not exceed the patient's tolerance; even if the patient's health status is currently suitable for the current activity level, regular reviews are required to ensure that the situation has not changed; regular reviews can include weekly or monthly health status assessments to ensure that the patient's rehabilitation is progressing well;

[0066] If the patient's health condition improves, further increasing activity or adjusting the rehabilitation plan can be considered; if any problems with the patient's health condition arise, more frequent monitoring should be resumed immediately and the treatment plan should be adjusted.

[0067] Based on the number of heart patients who are not suitable for activities, we will strengthen the monitoring frequency of heart patients who are not suitable for activities, adjust their activity levels, and analyze their recovery capabilities;

[0068] Obtain the rehabilitation ability characteristic data of each patient, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics, and endurance characteristics, and conduct a comprehensive analysis of the rehabilitation ability characteristic data, health status data, and activity level data, and set up various weight indicators to obtain the rehabilitation ability δi of each heart disease patient;

[0069] The rehabilitation ability score δi is calculated by the formula δi=w1*F1+w2*F2+w3*F3+w4*F4*w5*ρi+w6*γi;

[0070] Among them, F1 is the physiological function characteristic score, F2 is the cardiopulmonary function characteristic score, F3 is the muscle strength characteristic score, and F4 is the endurance characteristic score; w1, w2, w3 and w4 are their corresponding weight coefficients, and w1>w2>w3>w4>0; w5 is the heart rate fluctuation index weight coefficient, and w6 is the blood pressure fluctuation weight coefficient;

[0071] It should be noted that: physiological function characteristics include but are not limited to heart rate, blood pressure, blood oxygen saturation, etc.; cardiopulmonary function characteristics: can be measured by indicators such as 6-minute walking test and maximum oxygen uptake (VO2max); muscle strength characteristics: can be evaluated through grip strength test, number of squats, etc.; endurance characteristics: usually evaluated through aerobic exercise such as treadmill test or bicycle power meter test.

[0072] Among them, the larger the value of the rehabilitation ability score, the stronger the rehabilitation ability of the corresponding heart disease patient. With effective treatment by a doctor and adjustment of appropriate activity levels, the rehabilitation ability of heart disease patients can be quickly improved.

[0073] Example 4

[0074] See also Figure 2 As shown, on the basis of Example 3, the rehabilitation ability score δi is compared with the preset rehabilitation ability score threshold. If the rehabilitation ability score δi is greater than or equal to the preset rehabilitation ability score threshold, it means that the current heart disease patient has a strong rehabilitation ability and only needs to adjust the activity level. If the rehabilitation ability score δi is less than the preset rehabilitation ability score threshold, it means that the current heart disease patient has a weak rehabilitation ability and needs to adjust the activity level. It is also necessary to further examine the patient's condition. According to the examination results, a treatment adjustment plan is given, and the heart disease patient is continuously monitored, and the monitoring frequency is increased to ensure the health status of the heart disease patient.

[0075] Example 5

[0076] See also Figure 3 As shown, a heart disease rehabilitation follow-up data management system based on data tracking includes a data acquisition module, a comparison module, a rehabilitation ability analysis module and an adjustment module;

[0077] A data acquisition module, wherein the data acquisition module acquires health status data of the heart disease patient, wherein the health status data includes heart rate data and blood pressure data, and acquires activity level data of the heart disease patient, wherein the activity level data includes activity time data and walking step number data;

[0078] A comparison module, wherein the comparison module compares and analyzes the health status data and the activity level data to determine the suitability of the current heart disease patient for the activity level, and classifies the currently monitored heart disease patient as suitable for activity or not suitable for activity;

[0079] A rehabilitation ability analysis module, which uses the rehabilitation ability characteristic data of each patient, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics, and endurance characteristics, and performs a comprehensive analysis on the rehabilitation ability characteristic data, health status data, and activity level data;

[0080] The adjustment module determines whether the treatment plan of the patient with inactive heart disease needs to be adjusted according to the rehabilitation ability of the patient with inactive heart disease.

[0081] The working principle of the present invention is to evaluate the patient's health status and activity level through real-time monitoring and data analysis, and then adjust the treatment plan and rehabilitation plan. First, the system collects the patient's health status data (including heart rate data and blood pressure data) and activity level data (including activity time and walking steps) through devices such as smart watches, chest strap heart rate monitors and blood pressure monitors. Subsequently, the system analyzes these data and calculates the heart rate fluctuation index and blood pressure fluctuation index to evaluate the patient's heart rate and blood pressure stability. At the same time, the system also calculates the activity time ratio of each patient, and calculates the suitability score through a comprehensive formula to determine whether the patient's health status is suitable for the current activity level. According to the suitability score, patients are divided into two categories: suitable for activity and unsuitable for activity. For patients who are suitable for activity, the system recommends maintaining the current activity level and appropriately reducing the monitoring frequency; for patients who are not suitable for activity, the monitoring frequency is strengthened, and their rehabilitation ability characteristic data are analyzed, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics and endurance characteristics, and the rehabilitation ability score is obtained through comprehensive analysis. Finally, based on the comparison between the rehabilitation ability score and the preset threshold, it is decided whether the treatment plan needs to be adjusted. The present invention provides strong support for the rehabilitation of heart disease patients through real-time monitoring and dynamic evaluation, which helps doctors and patients better understand the patient's rehabilitation progress and adjust the treatment plan or provide personalized rehabilitation advice accordingly, thereby improving the patient's rehabilitation quality and safety.

[0082] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0083] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0084] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0085] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0086] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0087] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0088] 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 application, 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, which is stored in a storage medium and includes 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 application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0089] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A heart disease rehabilitation follow-up data management method based on data tracking, characterized in that: The following steps are involved: S1: Obtain health status data of heart disease patients; Among them, health status data includes heart rate data and blood pressure data; Obtain activity level data for patients with heart disease, Among them, the activity level data includes activity time data and walking step data; S2: Compare and analyze the health status data and activity level data to determine the suitability of the current heart disease patient's activity level and classify the currently monitored heart disease patients into those who are suitable for activity and those who are not suitable for activity; S3: Maintain the current activity level of patients with heart disease who are suitable for activities and reduce the frequency of continuous monitoring; strengthen the monitoring frequency of patients with heart disease who are not suitable for activities, adjust their activity level, and analyze the rehabilitation ability of patients with heart disease who are not suitable for activities; S4: Determine whether the treatment plan of patients with inactive heart disease needs to be adjusted based on their recovery ability.

2. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 1, characterized in that: Monitor heart disease patients in real time and calculate the heart rate fluctuation index ρi of each heart disease patient; The process of obtaining the heart rate fluctuation index ρi is: The heart beats xij of the heart disease patient are collected in time series per minute; i represents the i-th heart disease patient; j represents the heart beats collected in the j-th minute of the i-th patient. The heart beats in the j-th minute are calculated by difference with the heart beats in the j-1-th minute, and the absolute value is taken to obtain the heart beat deviation value, which is recorded as Δxi j-1 ; Calculate the mean value μi and standard deviation σi of the heart beat rate deviation value of each heart disease patient during the monitoring week; The heart rate fluctuation index ρi of each heart disease patient is calculated.

3. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 2, characterized in that: Carry out real-time monitoring of heart disease patients and calculate the blood pressure fluctuation index τi of each heart disease patient; The process of obtaining the blood pressure fluctuation index τi is: The blood pressure values ​​Yij of the heart disease patients are collected in time series, where i represents the i-th heart disease patient and j represents the blood pressure value of the i-th heart disease patient at the j-th minute; the standard deviation γi and the average αi of the blood pressure of all heart disease patients in the monitoring period are calculated to obtain the maximum blood pressure value Yimax and the minimum blood pressure value Yimin; The blood pressure fluctuation index τi is calculated.

4. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 3, characterized in that: The health status data and activity level data are compared and analyzed to calculate the suitability score θi of the health status to the activity level of each heart disease patient; The process of obtaining the fitness score θi is: Obtain the total activity time ti and the total number of steps ni of the heart disease patient in a day; divide the total activity time of each heart disease patient by the total monitoring period time to obtain the activity time ratio, recorded as tiy; The suitability score θi of each heart disease patient’s health status to activity level is calculated.

5. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 4, characterized in that: The process of dividing the suitability of activity level for the health status of heart disease patients is as follows: If the suitability score θi is greater than or equal to the preset suitability score threshold, it is recorded as a suitable heart disease patient; If the suitability score θi is less than the preset suitability score threshold, it is recorded as an unsuitable heart disease patient.

6. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 1, characterized in that: Based on the patient's appropriate level of heart disease, continue to maintain the current activity level and reduce the frequency of monitoring.

7. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 1, characterized in that: Based on the level of patients with non-fit heart disease, increase the monitoring frequency of patients with heart disease who are not suitable for activities, adjust the activity level, and analyze the rehabilitation ability of patients with heart disease who are not suitable for activities.

8. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 7, characterized in that: The process of acquiring rehabilitation ability for patients with heart disease who are not suitable for activities is as follows: Obtain the rehabilitation ability characteristic data of each patient, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics, and endurance characteristics, and conduct a comprehensive analysis of the rehabilitation ability characteristic data, health status data, and activity level data, and set up various weight indicators to obtain the rehabilitation ability δi of each heart disease patient.

9. A heart disease rehabilitation follow-up data management method based on data tracking according to claim 8, characterized in that: If the rehabilitation ability score δi is greater than or equal to the preset rehabilitation ability score threshold, the activity level is adjusted. If the rehabilitation ability score δi is less than the preset rehabilitation ability score threshold, the activity level is adjusted, and the patient's condition is further examined. Based on the examination results, treatment adjustments are given.

10. A heart disease rehabilitation follow-up data management system based on data tracking, characterized in that: It includes data collection module, comparison module, rehabilitation ability analysis module and adjustment module; A data acquisition module, wherein the data acquisition module acquires health status data of the heart disease patient, wherein the health status data includes heart rate data and blood pressure data, and acquires activity level data of the heart disease patient, wherein the activity level data includes activity time data and walking step number data; A comparison module, wherein the comparison module compares and analyzes the health status data and the activity level data to determine the suitability of the current heart disease patient for the activity level, and classifies the currently monitored heart disease patient as suitable for activity or not suitable for activity; A rehabilitation ability analysis module, which uses the rehabilitation ability characteristic data of each patient, including physiological function characteristics, cardiopulmonary function characteristics, muscle strength characteristics, and endurance characteristics, and performs a comprehensive analysis on the rehabilitation ability characteristic data, health status data, and activity level data; The adjustment module determines whether the treatment plan of the patient with inactive heart disease needs to be adjusted according to the rehabilitation ability of the patient with inactive heart disease.

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