Heart rehabilitation management method for heart patient and related equipment

Abstract

The invention discloses a heart rehabilitation management method for a heart patient and related equipment. The method comprises the following steps: acquiring basic physiological information and heart function state information of a patient; based on the basic physiological information and the heart function state information, exercise risk grades are divided for the patients, and exercise prescriptions are generated; and sending the exercise prescription to a patient user side associated with the patient, and performing exercise monitoring on the patient based on the exercise prescription. The problem that the treatment is interrupted due to the fact that heart disease patients often lose professional supervision and guidance at home can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to a cardiac rehabilitation management method and related equipment for heart patients. Background Art

[0002] Cardiac rehabilitation is a comprehensive intervention method that uses drugs, exercise, nutrition, psychological and social support to change unhealthy lifestyles, help cultivate and maintain healthy behaviors and lifestyles, control cardiovascular risk factors, restore patients' physiological, psychological and social functions to their best, delay or reverse the progression of atherosclerosis, and improve myocardial ischemia and cardiac function through multi-faceted and multi-disciplinary cooperation. It can be seen that cardiac rehabilitation is by no means a supplement to acute treatment but a continuation of treatment. It is a treatment method that all heart disease patients should receive. However, heart disease patients at home often interrupt this treatment because they often lose professional supervision and guidance. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0004] In order to solve the problem that heart patients often interrupt their treatment at home because they often lose professional supervision and guidance, in a first aspect, the present invention provides a cardiac rehabilitation management method for heart patients, the method comprising:

[0005] Obtain the patient's basic physiological information and cardiac function status information;

[0006] Based on the basic physiological information and the cardiac function status information, the patient is classified into an exercise risk level and an exercise prescription is generated;

[0007] The exercise prescription is sent to a patient user terminal associated with the patient, and exercise monitoring of the patient is performed based on the exercise prescription.

[0008] Optionally, also include:

[0009] Obtaining the patient's PCI condition, wherein the PCI condition includes at least one of elective PCI, emergency PCI, single-vessel lesion, and multi-vessel lesion;

[0010] Based on the basic physiological information, cardiac function status information and PCI situation, the patient is classified into an exercise risk level and an exercise prescription is generated.

[0011] Optionally, the performing exercise monitoring on the patient based on the exercise prescription includes:

[0012] Obtain the patient's location information and the amount of exercise that has occurred that day;

[0013] Based on the location information, query the map data for location information to which the current location belongs;

[0014] An exercise suggestion is generated according to the location information, the amount of exercise that has occurred on the day and the exercise prescription, and the exercise suggestion includes the type of exercise and the recommended exercise duration.

[0015] Optionally, also include:

[0016] Analyze the flow of people in different areas of the venue during exercise based on the current time and the recommended exercise duration;

[0017] The exercise suggestions are generated according to the crowd flow data of different areas of the place, and the exercise suggestions also include the range of the exercise area and the exercise path, so that the patient never stays away from the crowd during the exercise.

[0018] Optionally, the amount of exercise generated on the day is calculated based on the patient's exercise status information collected by a smart wearable device or a smart communication terminal carried by the patient.

[0019] Optionally, also include:

[0020] Real-time monitoring of the patient's physiological status information, wherein the physiological status information includes heart beat data;

[0021] Analyzing the patient's physiological state based on the heart beat data;

[0022] When it is predicted that the patient is in a high-risk state, a request for assistance is sent via Bluetooth to other intelligent communication terminals within a preset distance. The request for assistance includes the patient's basic information, the patient's historical medical condition and the patient's current physiological state. The basic information is information used to identify the patient.

[0023] Optionally, also include:

[0024] Predicting current symptom information based on the patient's historical condition and the patient's current physiological state and generating a temporary treatment suggestion, the assistance request including the current symptom information and the temporary treatment suggestion;

[0025] The assistance request is sent to the associated medical care terminal of the patient.

[0026] In a second aspect, the present invention further provides a cardiac rehabilitation management device for heart patients, comprising:

[0027] An acquisition unit, used to acquire basic physiological information and cardiac function status information of the patient;

[0028] An analysis unit, configured to classify the patient's exercise risk level and generate an exercise prescription based on the basic physiological information and the cardiac function status information;

[0029] A monitoring unit is used to send the exercise prescription to a patient user terminal associated with the patient, and perform exercise monitoring on the patient based on the exercise prescription.

[0030] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the cardiac rehabilitation management method for heart patients as described in any one of the first aspects above when executing the computer program stored in the memory.

[0031] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the cardiac rehabilitation management method for heart patients according to any one of the above items in the first aspect is implemented.

[0032] In summary, the cardiac rehabilitation management method for heart patients proposed in this application obtains the basic physiological information and cardiac function status information of the patient; divides the patient into exercise risk levels based on the basic physiological information and cardiac function status information and generates an exercise prescription; sends the exercise prescription to the patient user terminal associated with the patient, and performs exercise monitoring on the patient based on the exercise prescription. By obtaining the basic physiological information and cardiac function status information of the patient, a personalized exercise prescription can be provided for each patient. This accuracy ensures the safety and effectiveness of the rehabilitation plan and avoids the risks that may be caused by the "one-size-fits-all" rehabilitation model. Thus, the exercise prescription is sent to the user terminal associated with the patient, and exercise monitoring is performed based on the user terminal, thereby realizing remote rehabilitation management. This can not only improve the patient's participation, but also ensure that the medical team obtains the patient's rehabilitation progress in a timely manner, so as to make necessary adjustments and optimizations. This real-time feedback mechanism helps to ensure the smooth progress of the rehabilitation plan and improve its effect. Through the exercise guidance and reminder functions provided by the user terminal, the patient's self-management ability can be enhanced and its compliance can be improved. At the same time, the remote monitoring of the medical team can promptly discover and solve problems that may arise during the rehabilitation process, thereby ensuring the safety of the patient. This dual guarantee mechanism helps to improve the overall effect of the rehabilitation plan. The application of comprehensive intervention methods, including drugs, exercise, nutrition, psychological and social support, etc., can help to comprehensively improve the physiological, psychological and social functions of patients. This comprehensive rehabilitation management method can significantly improve the rehabilitation effect of patients, reduce the recurrence rate and mortality of cardiovascular diseases, thereby prolonging the life of patients and improving their quality of life. Through the convenient services and real-time feedback provided by the digital platform, patients can understand their rehabilitation progress more intuitively, thereby enhancing their confidence and participating more actively in the rehabilitation plan. This positive incentive effect helps to form a virtuous circle and promote further improvement of rehabilitation effects. The application of digital management methods can optimize the allocation of medical resources and improve the efficiency of rehabilitation management. Through remote monitoring and real-time feedback, the medical team can manage the rehabilitation plans of multiple patients more efficiently, thereby reducing the workload and improving the overall service quality.

[0033] The cardiac rehabilitation management method for heart patients of the present invention, and other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1 A schematic diagram of a cardiac rehabilitation management method for a heart patient provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of the structure of a cardiac rehabilitation management device for heart patients provided in an embodiment of the present application;

[0037] Figure 3 A schematic diagram of the structure of an electronic device for cardiac rehabilitation management of heart patients provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0039] To address the problem of cardiac patients interrupting this therapy at home, often without professional supervision and guidance, see Figure 1 , is a flow chart of a cardiac rehabilitation management method for heart patients provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0040] S110, obtaining the patient's basic physiological information and cardiac function status information.

[0041] It is understandable that understanding the patient's basic situation is a prerequisite for implementing a personalized rehabilitation plan. Basic physiological information includes age, gender, height, weight, BMI (body mass index), etc., while cardiac function status information includes electrocardiogram results, cardiac function classification, previous history of heart disease, medication status, etc.

[0042] For example, data is collected through medical institutions or home health monitoring devices (such as smart bracelets, blood pressure monitors, heart rate monitors, etc.). Patients can be asked to fill in information about their daily activity, eating habits, psychological state, etc. in the form of questionnaires. If necessary, professional medical examinations such as cardiac ultrasound and exercise treadmill tests are performed to obtain more accurate heart function data. A comprehensive understanding of the patient's health status provides a scientific basis for subsequent risk assessment and exercise prescription formulation.

[0043] S120, classifying the patient's exercise risk level based on the basic physiological information and the cardiac function status information and generating an exercise prescription.

[0044] It is understood that the safety and suitability of exercise should be assessed according to the patient's specific situation to avoid exercise-induced cardiac events. Exercise prescription should take into account the type, intensity, frequency and duration of exercise, as well as necessary warm-up and cool-down activities.

[0045] Exemplarily, professional software or algorithms are used in combination with medical guidelines to automatically calculate the patient's exercise risk level. According to the risk level, a personalized exercise plan is designed, such as low-risk walking, medium-risk brisk walking or jogging, high-risk cycling (under doctor's supervision), etc. Taking into account the patient's preferences and actual situation, the exercise prescription is adjusted to ensure its feasibility and sustainability. Ensure that the exercise rehabilitation program is both safe and effective, reduce exercise-related adverse events, and improve patient compliance.

[0046] S130, sending the exercise prescription to a patient user terminal associated with the patient, and performing exercise monitoring on the patient based on the exercise prescription.

[0047] It is understandable that through the digital platform, remote delivery and real-time monitoring of exercise prescriptions can be achieved, the interaction between patients and medical teams can be enhanced, and rehabilitation plans can be adjusted in a timely manner.

[0048] For example, the exercise prescription can be sent to the patient's smartphone, tablet computer or other user terminal in the form of pictures, text or video. The user terminal integrates exercise tracking functions, such as GPS positioning, heart rate monitoring, step counting, etc., to automatically record the patient's exercise data. Set a reminder function to remind patients to exercise on time and record their feelings and physical reactions after exercise. The medical team views the patient's exercise data through the background system, evaluates the progress of rehabilitation, and conducts remote consultation or adjusts the exercise prescription when necessary. In this way, the patient's enthusiasm for participating in rehabilitation is improved, the quality of the implementation of the rehabilitation plan is ensured, problems are discovered and solved in a timely manner, and the patient's rehabilitation process is promoted.

[0049] In summary, the cardiac rehabilitation management method for heart patients provided in the embodiment of the present application obtains the basic physiological information and cardiac function status information of the patient; divides the patient into exercise risk levels based on the basic physiological information and cardiac function status information and generates an exercise prescription; sends the exercise prescription to the patient user terminal associated with the patient, and performs exercise monitoring on the patient based on the exercise prescription. By obtaining the basic physiological information and cardiac function status information of the patient, a personalized exercise prescription can be provided for each patient. This accuracy ensures the safety and effectiveness of the rehabilitation plan and avoids the risks that may be caused by the "one-size-fits-all" rehabilitation model. Thus, the exercise prescription is sent to the user terminal associated with the patient, and exercise monitoring is performed based on the user terminal, thereby realizing remote rehabilitation management. This can not only improve the patient's participation, but also ensure that the medical team obtains the patient's rehabilitation progress in a timely manner, so as to make necessary adjustments and optimizations. This real-time feedback mechanism helps to ensure the smooth progress of the rehabilitation plan and improve its effect. Through the exercise guidance and reminder functions provided by the user terminal, the patient's self-management ability can be enhanced and its compliance can be improved. At the same time, the remote monitoring of the medical team can promptly discover and solve problems that may arise during the rehabilitation process, thereby ensuring the safety of the patient. This dual guarantee mechanism helps to improve the overall effect of the rehabilitation plan. The application of comprehensive intervention methods, including drugs, exercise, nutrition, psychological and social support, etc., can help to comprehensively improve the physiological, psychological and social functions of patients. This comprehensive rehabilitation management method can significantly improve the rehabilitation effect of patients, reduce the recurrence rate and mortality of cardiovascular diseases, thereby prolonging the life of patients and improving their quality of life. Through the convenient services and real-time feedback provided by the digital platform, patients can understand their rehabilitation progress more intuitively, thereby enhancing their confidence and participating more actively in the rehabilitation plan. This positive incentive effect helps to form a virtuous circle and promote further improvement of rehabilitation effects. The application of digital management methods can optimize the allocation of medical resources and improve the efficiency of rehabilitation management. Through remote monitoring and real-time feedback, the medical team can manage the rehabilitation plans of multiple patients more efficiently, thereby reducing the workload and improving the overall service quality.

[0050] According to some embodiments, further comprising:

[0051] Obtaining the patient's PCI condition, wherein the PCI condition includes at least one of elective PCI, emergency PCI, single-vessel lesion, and multi-vessel lesion;

[0052] Based on the basic physiological information, cardiac function status information and PIC situation, the patient is classified into an exercise risk level and an exercise prescription is generated.

[0053] It is understandable that PCI (Percutaneous Coronary Intervention) is an important treatment method in the field of modern cardiology. Cardiac PCI is a treatment method that uses percutaneous puncture technology to deliver therapeutic devices into the coronary arteries to relieve coronary artery stenosis or occlusion, thereby restoring myocardial blood supply. Using cardiac catheter technology, balloons, stents and other devices are delivered to the site of coronary artery stenosis or occlusion, and balloon dilation or stent implantation are used to expand blood vessels and restore blood flow. PCI status is an important indicator for assessing the severity of a patient's heart disease and treatment needs, which directly affects the patient's exercise ability and the formulation of a rehabilitation plan. Understanding the patient's PCI status, including whether elective PCI, emergency PCI, and whether the lesion is single or multiple, will help the medical team to have a more comprehensive understanding of the patient's condition and thus develop a more reasonable exercise rehabilitation plan.

[0054] For example, the PCI situation can be obtained by consulting the patient's medical records or asking the patient himself. If necessary, coronary angiography and other examinations are performed to clarify the lesion situation. Based on the comprehensive information, the exercise risk level is divided and an exercise prescription is generated.

[0055] It is understandable that after obtaining the patient's basic physiological information, cardiac function status information and PCI situation, the medical team can combine this information to make a more accurate assessment of the patient's exercise risk. Different PCI situations correspond to different exercise risks, so the content of the exercise prescription needs to be adjusted according to the patient's specific situation.

[0056] For example, a professional risk assessment tool or algorithm can be used, combined with medical guidelines and clinical experience, to quantitatively assess the patient's exercise risk. Based on the risk assessment results, the patient is divided into exercise risk levels, such as low risk, medium risk, high risk, etc. According to different risk levels, a personalized exercise prescription is formulated, including the type, intensity, frequency and duration of exercise. Taking into account the patient's PCI situation and cardiac function status, the exercise prescription is adjusted as necessary to ensure its safety and effectiveness.

[0057] It is understandable that by comprehensively considering the patient's PCI situation, an exercise rehabilitation plan that better meets the patient's actual needs can be developed, thereby improving the safety and effectiveness of the rehabilitation plan. Formulating an exercise prescription for the patient's specific condition can reduce the risk of adverse events caused by improper exercise, such as angina pectoris and arrhythmia. And personalized exercise prescriptions help patients better conduct rehabilitation training, promote the recovery of cardiac function and improve the quality of life. For example, a male patient, 60 years old, has a history of coronary heart disease and has undergone elective PCI treatment for single-vessel lesions. According to his basic physiological information, cardiac function status information and PCI situation, the medical team developed a rehabilitation plan for him that mainly focuses on aerobic exercise, such as jogging and cycling, and strengthened the monitoring and control of his heart rate. Through continuous rehabilitation training, Mr. Wang's cardiac function gradually recovered and his quality of life was significantly improved. A female patient, 55 years old, received emergency PCI treatment for acute myocardial infarction and had multiple lesions. Considering her serious condition, the medical team developed a rehabilitation plan for her that mainly focuses on low-intensity exercise, such as walking, yoga, etc., and strengthened the monitoring of her cardiac symptoms. Through personalized rehabilitation training, Ms. Zhao's condition gradually stabilized and her heart function improved.

[0058] In some examples, the performing exercise monitoring on the patient based on the exercise prescription includes:

[0059] Obtain the patient's location information and the amount of exercise that has occurred that day;

[0060] Based on the location information, query the map data for location information to which the current location belongs;

[0061] An exercise suggestion is generated according to the location information, the amount of exercise that has occurred on the day and the exercise prescription, and the exercise suggestion includes the type of exercise and the recommended exercise duration.

[0062] It is understandable that location information can reflect the patient's current environment, such as at home, outdoors, or in the gym, which helps determine whether the patient is able to perform a specific type of exercise. The amount of exercise that has occurred on the day is an important indicator for evaluating the patient's exercise status that day. It can help the medical team understand whether the patient has met the requirements of the exercise prescription or whether the exercise plan needs to be adjusted.

[0063] Exemplarily, the location information can be obtained through the GPS function of the patient's user terminal (such as a smart phone, smart watch, etc.). The amount of exercise that has occurred that day can be obtained through the integrated exercise tracking function of the user terminal, such as step count, heart rate monitoring, etc.

[0064] It is understandable that different places may be suitable for different types of exercise. For example, strength training may be more suitable in a gym, while aerobic exercise may be more suitable outdoors. By querying the place information to which the location information belongs, more accurate exercise recommendations can be provided to the patient.

[0065] For example, the acquired location information can be matched with the map data to find out the type of place to which the current location belongs, such as a park, a gym, a residential area, etc. According to the type of place, the type of exercise suitable for the place can be determined.

[0066] It is understandable that combining the patient's location information, the amount of exercise that has occurred that day, and the exercise prescription can generate more personalized exercise recommendations. This helps ensure that the patient performs the right exercise at the right time and in the right place, thereby improving the rehabilitation effect.

[0067] For example, the exercise that the patient can currently perform can be determined based on the location information and the exercise type recommended in the exercise prescription. The amount of exercise that the patient still needs to complete can be calculated based on the amount of exercise that has been performed that day, thereby determining the recommended exercise duration. The exercise type and the recommended exercise duration can be integrated into an exercise suggestion and sent to the patient through the user terminal.

[0068] It is understandable that by combining location information, the amount of exercise that has been generated on the day, and the exercise prescription, more accurate exercise recommendations can be generated to ensure that patients exercise under the right conditions. Personalized exercise recommendations can make patients feel more caring, thereby enhancing their enthusiasm for participating in rehabilitation programs. Accurate exercise recommendations help patients better complete the requirements in the exercise prescription, thereby optimizing the rehabilitation effect. For example, a male patient, 45 years old, a heart patient, is undergoing rehabilitation training. One afternoon, he took a walk in the park with his smartphone. After the system obtained his location information, it found that he was currently in the park, so it generated an exercise recommendation: "You are currently in the park, which is suitable for aerobic exercise. Based on your exercise today and exercise prescription, it is recommended that you jog for another 20 minutes." After receiving the suggestion, Mr. Li jogged according to the prompts and felt in good physical condition. A female patient, 50 years old, a heart disease patient in recovery. One evening, she was preparing for rehabilitation training at home. After the system obtained her location information, it determined that she was currently at home, so it generated an exercise suggestion: "You are currently at home, which is suitable for low-intensity strength training. Based on your exercise volume and exercise prescription today, it is recommended that you do 15 minutes of dumbbell exercises." Ms. Zhang practiced according to the suggestions and felt the effect was good.

[0069] In some examples, this also includes:

[0070] Analyze the flow of people in different areas of the venue during exercise based on the current time and the recommended exercise duration;

[0071] The exercise suggestions are generated according to the crowd flow data of different areas of the place, and the exercise suggestions also include the range of the exercise area and the exercise path, so that the patient never stays away from the crowd during the exercise.

[0072] Understandably, during exercise, patient safety is of paramount importance. Especially in certain places, such as parks, gyms, or outdoor exercise areas, the density and distribution of people flow may change significantly over time and with daily activities. By analyzing the flow data at the current moment and during the expected exercise duration, a safe and suitable exercise area can be recommended to the patient.

[0073] For example, the positioning function and network connection of smart devices can be used to obtain real-time crowd flow data of the patient's location. These data may come from surveillance cameras in public places, positioning data of mobile devices, or special crowd counting systems. The crowd flow data can be analyzed in combination with the current time (such as morning and evening peaks, weekdays and weekends, etc.) and the expected duration of the movement to identify areas with less or relatively stable crowd flow, as well as possible peak hours and areas.

[0074] It is understandable that based on the analysis of crowd flow data, more specific and detailed exercise suggestions can be provided to patients, including the range of exercise areas and exercise paths. The purpose of this is to ensure that patients are always away from the crowd during exercise so that they can get timely help or rescue when needed.

[0075] For example, one or more suitable exercise areas can be determined based on the analysis results of the crowd flow data. These areas should have low crowd density, good vision and ventilation conditions, and facilities for seeking help in emergency situations. One or more exercise paths can be planned for patients. These paths should avoid peak crowd areas as much as possible, while ensuring that patients can maintain appropriate social distance and safety during exercise.

[0076] It is understandable that by considering the flow of people data, it is possible to ensure that the patient is in a relatively safe environment during exercise and reduce the risk of accidents. Patients can know that they will not be alone during exercise, which can enhance their confidence and sense of security, so that they can participate more actively in rehabilitation training. Reasonable exercise area and exercise path planning can improve the patient's exercise experience, making it smoother and more pleasant. For example, a female patient, who is a heart disease recovery patient, plans to go to the park for a walk on the weekend morning. After the system obtains her location and the estimated exercise time, it analyzes the flow of people in the park. It is found that a certain area is crowded due to an event, so the system plans a movement path for her to avoid the area and recommends that she take a walk in another quieter area with moderate traffic.

[0077] Exemplarily, the K-means algorithm can be used to analyze crowd flow data and identify areas with dense traffic. By dividing the surrounding areas into different clusters, the system can determine which areas have more traffic, thereby providing patients with safer exercise path recommendations. Suppose a patient wants to exercise during a specific period of time in a park. The park is characterized by multiple trails and open areas with different numbers of people around. The K-means clustering algorithm can be used to identify areas with dense traffic to ensure that the patient is always within the sight of others during exercise. The current time t (for example: 8:00 to 9:00 am). Different areas in the park (for example: area A, area B, area C, etc.). The latitude and longitude coordinates of each area. The real-time flow of people N in each area during the time period. i , where i represents the region number. For example: Region A: N1 = 15 people; Region B: N2 = 30 people; Region C: N3 = 5 people; set a distance threshold d, for example: 200 meters, to evaluate the distance between the patient and other people. Randomly select k initial cluster centers C k For example: select 3 regions as cluster centers). Calculate the distance from each region to the cluster center using the Euclidean distance formula:

[0078]

[0079] Among them, (x i ,y i ) is the coordinate of region i, (x j ,y j ) is the coordinate of cluster center j. According to the distance of each region, the region is assigned to the nearest cluster center. Recalculate the center point of each cluster and update the cluster center:

[0080]

[0081] Among them, n kis the number of regions that belong to cluster k. Repeat the assignment and update steps until the cluster center no longer changes significantly. Eventually, the algorithm will identify areas with dense traffic. For example, if regions A and B are divided into the same cluster, and region C is independently a cluster, it can be concluded that the densely populated areas are: region A, region B (merged into high-density areas). The sparsely populated areas are: region C (alone low-density area).

[0082] For example, when the patient is preparing to exercise, the system calls the K-means algorithm to analyze the surrounding traffic data in the current period and identify high-density and low-density areas. If the patient is currently in area C (sparsely populated), the system will automatically prompt: "Please go to area A or area B for exercise. There are more people here, so ensure safety." Using the high-density area data output by K-means, provide patients with specific path planning to ensure that they are always within the sight of others during exercise.

[0083] In some examples, in order to ensure that a moving patient always remains within the sight of people around him / her, the positions of other surrounding smart terminals can be periodically obtained through Bluetooth based on the smart mobile communication terminal (such as a mobile phone) carried by the patient, and the movement direction of other surrounding smart terminals can be determined, so as to identify whether there are other smart terminals with the same movement direction behind the patient's current movement direction. If not, the patient is prompted to change the direction of movement or re-plan the movement path.

[0084] It is understandable that the smart terminal can establish a connection with other smart devices around it via Bluetooth to obtain their location information. Each smart device will periodically send its current location and motion status (such as speed and direction). By comparing the location information of the patient and surrounding devices, the direction of motion of each device is calculated. Using this data, it can be determined whether there are other devices behind the patient's current direction of motion. If there is no one else behind the patient's direction of motion, the system will issue a prompt to the patient, suggesting that he change the direction of motion or replan the path.

[0085] Exemplarily, the patient installs a dedicated application and authorizes the use of Bluetooth and positioning services. After collecting user consent, the system starts working. The application regularly scans the surrounding smart devices via Bluetooth to obtain their location information and motion status. The system screens out devices with strong signals to ensure data accuracy. The collected location and motion status data are analyzed to calculate the direction of motion of each device. Identify whether there are other devices behind the patient's direction of motion and determine whether these devices are within the patient's line of sight. If there are no other devices behind the patient's direction of motion, the system triggers a safety prompt to remind the patient: "Please adjust the direction of motion to ensure that it is within the line of sight of others." In addition, the application can recommend specific movement paths to avoid areas with few people. The system updates the information of the surrounding environment in real time to ensure that the patient always gets the latest exercise recommendations. Patients can view real-time crowd flow while exercising to help them make safe exercise choices. Since heart disease patients usually cannot call for help when they have an attack, even if there are other people near the patient, if it cannot be guaranteed that the patient is in the line of sight of the surrounding people (for example, the patient is behind others), it may not be easy to be directed by others when the attack occurs. Then, through the above scheme, it can be ensured that the patient is always within the sight of others during exercise, so that he can be found in time when he falls ill. For example, when a patient is exercising in a park, the system detects in real time that there is no one behind her, and will prompt her to change direction to ensure that she can be seen by people around her. By keeping the patient within the sight of others, the possibility of being rescued when the disease occurs is increased. For example, if a patient suddenly feels unwell while taking a walk, other people nearby can quickly notice and provide help. Based on the real-time monitored environmental information, safe exercise path suggestions are provided to ensure that the patient is always within the sight of others. For example, if the patient's original path has fewer people, the system will suggest that she turn to an area with dense traffic. Patients feel the care and protection of the system when exercising, which increases their enthusiasm for participating in exercise. For example, patients know that they can always stay in the sight of others, which enhances their confidence and initiative in exercise.

[0086] In some examples, the amount of exercise generated on the day is calculated based on the patient's exercise status information collected by the smart wearable device or smart communication terminal carried by the patient.

[0087] It is understandable that smart wearable devices (such as sports bracelets, smart watches, etc.) and smart communication terminals (such as smart phones) have built-in multiple high-precision sensors, such as accelerometers, gyroscopes, heart rate sensors, etc. These sensors can capture the user's exercise status information in real time, such as the number of steps, walking distance, running speed, heart rate changes, etc. The collected exercise status information will be transmitted to the device's built-in processor or cloud server for further processing. Through advanced algorithms and analysis models, these data are converted into specific exercise indicators, such as calories consumed, exercise time, exercise intensity, etc. As a result, the sensors used in smart wearable devices and smart communication terminals have high precision and high sensitivity, and can accurately capture the user's slight exercise changes. The algorithms built into the device or on the cloud server have been continuously optimized and trained, and can provide personalized exercise calculation and analysis based on the user's personal characteristics and exercise habits. Patients can monitor their exercise volume and understand the effect of exercise anytime and anywhere through smart wearable devices or smart communication terminals. Based on the real-time collected exercise volume data, the medical team or intelligent system can provide patients with more personalized exercise suggestions, such as adjusting exercise intensity, increasing exercise time, etc. By accurately calculating the amount of exercise, patients can arrange their rehabilitation plans more scientifically, avoid excessive or insufficient exercise, and thus improve the rehabilitation effect. Suppose a patient in the recovery period of heart disease wears a smart bracelet for rehabilitation training. During a day's exercise, the smart bracelet collects the patient's step count, walking distance, heart rate changes and other exercise status information in real time. These data are transmitted to the built-in processor of the smart bracelet or the patient's smartphone for processing and analysis. Finally, the patient can view his or her daily exercise report through the application on the smartphone, including indicators such as calories consumed, exercise time, and average heart rate. Based on these data, patients can arrange their rehabilitation plans more scientifically and seek personalized advice from the medical team when necessary.

[0088] For example, a heart patient is doing a morning run. The application detects that there is no one behind her and immediately prompts: "Please adjust your direction of movement to ensure that someone is in sight." The patient therefore changes direction and stays on the same side as other runners to ensure that she can be seen at all times. Or in a group fitness activity, the system finds that there are no other participants behind the patient. The application advises her through a prompt: "It is recommended to turn left, there are more people ahead." This not only ensures the patient's safety, but also encourages her to interact with others and enhances her social experience. Or take a patient walking in a park near her home as an example. The system detects that there are few people in the area. The application prompts: "Please change direction or choose a more lively area." The patient chooses to walk to a busier trail according to the advice to ensure that he can be seen by others.

[0089] In some examples, this also includes:

[0090] Real-time monitoring of the patient's physiological status information, wherein the physiological status information includes heart beat data;

[0091] Analyzing the patient's physiological state based on the heart beat data;

[0092] When it is predicted that the patient is in a high-risk state, a request for assistance is sent via Bluetooth to other intelligent communication terminals within a preset distance. The request for assistance includes the patient's basic information, the patient's historical medical condition and the patient's current physiological state. The basic information is information used to identify the patient.

[0093] It is understandable that the patient's physiological status information, including heart beat data (such as heart rate, heart rhythm, etc.), can be monitored in real time through the smart wearable device or smart communication terminal carried by the patient. These data are important indicators for evaluating the patient's heart health and physiological status.

[0094] For example, the smart wearable device usually has a built-in heart rate sensor, which can monitor the patient's heart rate changes in real time. The smart communication terminal (such as a smart phone) can obtain and store the patient's physiological state information through a Bluetooth connection with the smart wearable device.

[0095] It is understandable that by analyzing the heart beat data, it is possible to understand the patient's heart health status and physiological state, such as whether there are problems such as arrhythmia, too fast or too slow heart rate, etc.

[0096] For example, the heart beat data can be processed and analyzed using algorithms built into smart devices or analysis models on cloud servers. Based on the analysis results, the patient's physiological state can be evaluated and it can be determined whether appropriate medical measures need to be taken.

[0097] It is understandable that in the event that a patient is predicted to be in a high-risk state (such as a heart attack), the intelligent system can automatically send a request for assistance to other intelligent communication terminals within a preset distance so that timely help can be obtained.

[0098] For example, when the intelligent system detects abnormal heart beat data of the patient and determines that the patient may be in a high-risk state, the assistance request function will be automatically triggered. The assistance request information includes the patient's basic information (such as name, age, gender, etc.), historical medical conditions (such as type of heart disease, treatment status, etc.) and current physiological state (such as heart rate, heart rhythm, etc.). The assistance request information can be sent to other intelligent communication terminals within a preset distance, such as smartphones of people around or receiving devices of medical institutions, through wireless communication technologies such as Bluetooth.

[0099] It is understandable that by real-time monitoring of physiological status information and automatically sending assistance requests, high-risk situations that patients may face can be discovered and handled in a timely manner, improving the safety of patients. In an emergency, the automatically sent assistance request can quickly attract the attention of the surrounding people or medical institutions and enhance the emergency response capability. With the assistance of the intelligent system, medical resources can be more reasonably allocated to ensure that patients can receive timely and effective treatment when needed. Suppose a heart patient suddenly feels unwell while walking outside, and the smart bracelet he wears detects an abnormally high heart rate and irregular heartbeat. The smart bracelet immediately sends this information to the patient's smartphone via Bluetooth and triggers the assistance request function. The smartphone automatically sends assistance request information to the surrounding people and nearby medical institutions, including the patient's basic information, historical condition and current physiological state. Soon, the kind people around and the rescuers of the medical institutions received the assistance request information and quickly rushed to the scene to treat the patient.

[0100] In some examples, this also includes:

[0101] Current symptom information is predicted based on the patient's historical condition and the patient's current physiological state and a temporary treatment suggestion is generated, and the assistance request includes the current symptom information and the temporary treatment suggestion.

[0102] It is understandable that by combining the patient's historical medical condition (such as heart disease type, treatment history, previous attacks, etc.) and current physiological state (such as real-time monitored heart rate, heart rhythm, blood pressure, etc.), advanced algorithms and models can be used to predict the disease information that the patient may currently face.

[0103] For example, the patient's historical medical data can be collected and organized, including diagnosis reports, treatment records, drug use, etc. The patient's current physiological state can be monitored in real time and relevant data can be obtained. Advanced technologies such as machine learning and deep learning can be used to analyze and mine historical medical data and current physiological state data to predict the symptoms that the patient may currently face.

[0104] It is understandable that when it is predicted that a patient may face high-risk conditions, the system will automatically generate temporary treatment recommendations based on the prediction results and preset treatment rules to guide the patient or surrounding people to take preliminary treatment measures.

[0105] For example, based on the predicted symptom information, the system will match the corresponding treatment suggestions from the preset treatment rule library. Treatment suggestions may include staying calm, adjusting posture, taking specific medications, performing simple first aid measures, etc. The system can present the generated temporary treatment suggestions to the patient or the surrounding people in a clear and easy-to-understand manner. When sending a request for assistance, in addition to the patient's basic information, historical medical condition and current physiological state, the current symptom information predicted by the system and the generated temporary treatment suggestions will also be attached. The advantage of this is that even if the surrounding people or medical institutions cannot immediately understand the patient's full condition when receiving the request for assistance, they can quickly take appropriate actions by checking the symptom information and treatment suggestions.

[0106] It is understandable that by predicting the current symptom information and generating temporary treatment suggestions, patients or people around them can be guided to take correct treatment measures in emergency situations, thereby improving treatment efficiency. Patients know that the system will provide timely treatment suggestions in emergency situations, thereby enhancing their sense of security and confidence. After receiving a request for assistance containing symptom information and treatment suggestions, medical institutions can more accurately judge the patient's condition and needs, thereby allocating medical resources more reasonably. Suppose a heart disease patient suddenly feels chest tightness and palpitations at home, and the smart device he wears detects an abnormal heart rate. The system combines the patient's historical condition (such as coronary heart disease, heart surgery) and current physiological state (such as heart rate, blood pressure, etc.) to predict that the patient may be experiencing myocardial ischemia or arrhythmia. The system immediately generates temporary treatment suggestions, such as keeping calm, lying down to rest, taking emergency medicine, etc., and includes this information in the request for assistance and sends it to the patient's family and nearby medical institutions. After receiving the request for assistance, family members and medical institutions can quickly take appropriate actions to provide timely treatment for the patient.

[0107] See also Figure 2 An embodiment of the cardiac rehabilitation management device for heart patients in the embodiment of the present application may include:

[0108] An acquisition unit 21 is used to acquire basic physiological information and cardiac function status information of the patient;

[0109] An analysis unit 22, configured to classify the patient's exercise risk level and generate an exercise prescription based on the basic physiological information and the cardiac function status information;

[0110] The monitoring unit 23 is used to send the exercise prescription to a patient user terminal associated with the patient, and perform exercise monitoring on the patient based on the exercise prescription.

[0111] In summary, the cardiac rehabilitation management device for heart patients provided in the embodiment of the present application obtains the basic physiological information and cardiac function status information of the patient; divides the patient into exercise risk levels based on the basic physiological information and cardiac function status information and generates an exercise prescription; sends the exercise prescription to the patient user terminal associated with the patient, and performs exercise monitoring on the patient based on the exercise prescription. By obtaining the basic physiological information and cardiac function status information of the patient, a personalized exercise prescription can be provided for each patient. This accuracy ensures the safety and effectiveness of the rehabilitation plan and avoids the risks that may be caused by the "one-size-fits-all" rehabilitation model. Thus, the exercise prescription is sent to the user terminal associated with the patient, and exercise monitoring is performed based on the user terminal, thereby realizing remote rehabilitation management. This can not only improve the patient's participation, but also ensure that the medical team obtains the patient's rehabilitation progress in a timely manner, so as to make necessary adjustments and optimizations. This real-time feedback mechanism helps to ensure the smooth progress of the rehabilitation plan and improve its effect. Through the exercise guidance and reminder functions provided by the user terminal, the patient's self-management ability can be enhanced and its compliance can be improved. At the same time, the remote monitoring of the medical team can promptly discover and solve problems that may arise during the rehabilitation process, thereby ensuring the safety of the patient. This dual guarantee mechanism helps to improve the overall effect of the rehabilitation plan. The application of comprehensive intervention methods, including drugs, exercise, nutrition, psychological and social support, etc., can help to comprehensively improve the physiological, psychological and social functions of patients. This comprehensive rehabilitation management method can significantly improve the rehabilitation effect of patients, reduce the recurrence rate and mortality of cardiovascular diseases, thereby prolonging the life of patients and improving their quality of life. Through the convenient services and real-time feedback provided by the digital platform, patients can understand their rehabilitation progress more intuitively, thereby enhancing their confidence and participating more actively in the rehabilitation plan. This positive incentive effect helps to form a virtuous circle and promote further improvement of rehabilitation effects. The application of digital management methods can optimize the allocation of medical resources and improve the efficiency of rehabilitation management. Through remote monitoring and real-time feedback, the medical team can manage the rehabilitation plans of multiple patients more efficiently, thereby reducing the workload and improving the overall service quality.

[0112] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any one of the above-mentioned methods for cardiac rehabilitation management of heart patients are implemented:

[0113] Obtain the patient's basic physiological information and cardiac function status information;

[0114] Based on the basic physiological information and the cardiac function status information, the patient is classified into an exercise risk level and an exercise prescription is generated;

[0115] The exercise prescription is sent to a patient user terminal associated with the patient, and exercise monitoring of the patient is performed based on the exercise prescription.

[0116] Since the electronic device introduced in this embodiment is a device used to implement a cardiac rehabilitation management device for heart patients in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0117] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation method in the corresponding embodiment:

[0118] Obtain the patient's basic physiological information and cardiac function status information;

[0119] Based on the basic physiological information and the cardiac function status information, the patient is classified into an exercise risk level and an exercise prescription is generated;

[0120] The exercise prescription is sent to a patient user terminal associated with the patient, and exercise monitoring of the patient is performed based on the exercise prescription.

[0121] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0122] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0123] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0124] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0125] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0126] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of cardiac rehabilitation management for heart patients in the corresponding embodiment.

[0127] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to 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 devices. 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 a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. 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 (e.g., a solid state drive (SSD)), etc.

[0128] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0129] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0130] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0131] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0132] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable 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 various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0133] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A cardiac rehabilitation management method for heart patients, characterized in that: include: Obtain the patient's basic physiological information and cardiac function status information; Based on the basic physiological information and the cardiac function status information, the patient is classified into an exercise risk level and an exercise prescription is generated; The exercise prescription is sent to a patient user terminal associated with the patient, and exercise monitoring of the patient is performed based on the exercise prescription.

2. The method according to claim 1, characterized in that Also includes: Obtaining the patient's PCI condition, wherein the PCI condition includes at least one of elective PCI, emergency PCI, single-vessel lesion, and multi-vessel lesion; Based on the basic physiological information, cardiac function status information and PCI situation, the patient is classified into an exercise risk level and an exercise prescription is generated.

3. The method according to claim 1, characterized in that The performing exercise monitoring on the patient based on the exercise prescription includes: Obtain the patient's location information and the amount of exercise that has occurred that day; Based on the location information, query the map data for location information to which the current location belongs; An exercise suggestion is generated according to the location information, the amount of exercise that has occurred on the day and the exercise prescription, and the exercise suggestion includes the type of exercise and the recommended exercise duration.

4. The method according to claim 3, characterized in that Also includes: Analyze the flow of people in different areas of the venue during exercise based on the current time and the recommended exercise duration; The exercise suggestions are generated according to the crowd flow data of different areas of the place, and the exercise suggestions also include the range of the exercise area and the exercise path, so that the patient never stays away from the crowd during the exercise.

5. The method according to claim 4, characterized in that Also includes: Based on the intelligent mobile communication terminal carried by the patient, the positions of other surrounding intelligent terminals are periodically obtained through Bluetooth to determine the movement direction of other surrounding intelligent terminals, so as to identify whether there are other intelligent terminals in the same movement direction of the patient behind the patient's current movement direction; When it is identified that there are no other smart terminals behind the patient's current movement direction and in the same movement direction as the patient, the patient is prompted to change the movement direction or re-plan the movement path.

6. The method according to any one of claims 1 to 5, characterized in that Also includes: Real-time monitoring of the patient's physiological status information, wherein the physiological status information includes heart beat data; Analyzing the patient's physiological state based on the heart beat data; When it is predicted that the patient is in a high-risk state, a request for assistance is sent via Bluetooth to other intelligent communication terminals within a preset distance. The request for assistance includes the patient's basic information, the patient's historical medical condition and the patient's current physiological state. The basic information is information used to identify the patient.

7. The method according to any one of claims 1 to 6, characterized in that Also includes: Predicting current symptom information based on the patient's historical condition and the patient's current physiological state and generating a temporary treatment suggestion, the assistance request including the current symptom information and the temporary treatment suggestion; The assistance request is sent to the associated medical care terminal of the patient.

8. A cardiac rehabilitation management device for heart patients, characterized in that: include: An acquisition unit, used to acquire basic physiological information and cardiac function status information of the patient; An analysis unit, configured to classify the patient's exercise risk level and generate an exercise prescription based on the basic physiological information and the cardiac function status information; A monitoring unit is used to send the exercise prescription to a patient user terminal associated with the patient, and perform exercise monitoring on the patient based on the exercise prescription.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the cardiac rehabilitation management method for heart patients as described in any one of claims 1-7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the cardiac rehabilitation management method for heart patients according to any one of claims 1 to 7 is implemented.

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