Coronary artery patient exercise tolerance treatment management system based on random control test

Abstract

The invention discloses a coronary artery patient exercise tolerance treatment management system based on a random control test, and relates to the technical field of coronary artery patient exercise tolerance treatment management, and the coronary artery patient exercise tolerance treatment management system comprises a scheme recommendation module and an effect feedback module, the scheme recommendation module comprises a data acquisition unit, a scheme recommendation unit and an archive management unit; the data acquisition unit comprises a physiological index monitoring device. According to the coronary artery patient exercise tolerance treatment management system based on the random control test, the exercise tolerance improvement condition of a patient in the treatment process is evaluated through the definite physiological indexes, exercise performance indexes and subjective feeling indexes of the effect feedback module; multi-dimensional evaluation is achieved, and the movement effect and the body reaction of the patient can be comprehensively known; the exercise scheme of the patient can be optimized and adjusted according to the evaluation result and the health file of the patient, and a preferred exercise scheme is generated.

Description

Technical Field

[0001] The present invention relates to the technical field of exercise tolerance treatment management for coronary artery patients, and in particular to an exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials. Background Art

[0002] Coronary artery disease is a cardiovascular disease that poses a serious threat to human health. Its morbidity and mortality rates remain high worldwide. Patients with coronary artery disease usually require a comprehensive treatment plan, including drug therapy, surgical treatment, and rehabilitation therapy. Among them, exercise tolerance therapy, as an important part of rehabilitation therapy, is of great significance for improving patients' cardiovascular function, improving their quality of life, and reducing the risk of recurrent cardiovascular events.

[0003] However, exercise tolerance treatment for patients with coronary artery disease still faces many challenges. Although current treatment management methods can provide personalized treatment management based on the condition, physical condition and exercise ability of different patients, they are limited to monitoring individual physiological indicators through basic medical equipment. There is no comprehensive treatment management plan that takes into account exercise performance and the patient's subjective feelings. Conventional treatment management system plans are single and imperfect, resulting in poor exercise performance and worse subjective feelings during conventional therapeutic exercises, which affects the patient's treatment status and mood and is not conducive to recovery. Summary of the invention

[0004] In order to solve the above technical problems, the present invention is implemented through the following technical solutions: an exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials, including a scheme recommendation module and an effect feedback module, wherein the scheme recommendation module includes a data acquisition unit, a scheme recommendation unit and a file management unit; The data acquisition unit includes a physiological index monitoring device, which collects the patient's physiological data during exercise in real time through the physiological index monitoring device, and uploads the physiological data to the central processing server through wireless transmission technology; wherein the physiological index monitoring device includes a heart rate monitoring device, a blood pressure sensor, and a blood oxygen saturation measuring instrument; The program recommendation unit is used to extract the patient's physiological indicators from the patient's physiological data, and is also used to generate an exercise program based on the physiological indicators combined with the patient data, wherein the treatment response includes the patient's response to exercise of different intensities and durations, and the patient data includes the patient's individual characteristics and treatment response; The file management unit is used to establish and maintain the health file of each coronary artery patient, which contains basic personal information, medical history, medication status and exercise records, to ensure that the formulation of the exercise program takes individual differences into consideration; The effect feedback module includes a regimen optimization unit, which is used to evaluate the improvement of exercise tolerance of coronary artery patients during treatment, obtain treatment feedback, and adjust the patient's exercise regimen based on the treatment feedback and the health record of each coronary artery patient to obtain an optimal exercise regimen to ensure the effectiveness and safety of the regimen.

[0005] Preferably, the specific process of the scheme recommendation unit generating the exercise scheme is as follows: The solution recommendation unit receives the physiological data uploaded by the data acquisition unit and pre-processes the physiological data, which includes heart rate monitoring data, blood pressure data and blood oxygen saturation data. For the heart rate monitoring data, if there are obvious spikes or abnormal fluctuations, smoothing is performed through a filtering algorithm; for the blood pressure and blood oxygen saturation data, abnormal values ​​that deviate from the normal range are removed; then the data collected by different physiological indicator monitoring devices are synchronized in time to clarify the corresponding relationship between various indicators at the same time point; Extract key physiological indicators from the pre-processed physiological data; for the data collected by the heart rate monitoring device, the average heart rate is obtained by averaging the heart rate data within a set time period, and the maximum and minimum values ​​are found as the maximum heart rate and the minimum heart rate respectively; for the data collected by the blood pressure sensor, the average values ​​of the systolic pressure and the diastolic pressure are calculated in the blood pressure data at multiple measurement time points, and their fluctuation ranges are determined to reflect the stability of the patient's blood pressure; for the data collected by the blood oxygen saturation meter, the average value is calculated in the blood oxygen saturation data within a set time period to obtain the average blood oxygen saturation, and the minimum value is recorded as the minimum blood oxygen saturation; Analyze the individual characteristics in the patient data and give the patient's set requirements, where the individual characteristics include age, gender, body mass index, and underlying diseases; the set requirements include the patient's tolerance and demand for exercise; where different individual characteristics have different tolerance and demand for exercise; Analyze the patient's response to exercise of different intensities and durations to obtain a response evaluation; generate an exercise plan that matches the patient based on physiological indicators, set requirements of individual characteristics and response evaluation of treatment response; the exercise plan includes exercise type, exercise intensity, exercise duration and exercise frequency; exercise types include walking, jogging, swimming, and cycling; exercise intensity includes heart rate range and metabolic equivalents; exercise frequency is expressed as the number of exercises per week.

[0006] Preferably, the process of analyzing individual characteristics is as follows: Obtain the patient's basic personal information from the archive management unit, including age, gender, height, and weight; this information can directly reflect the patient's basic physiological condition; check the patient's medical history to understand whether the patient has chronic diseases, and give disease precautions corresponding to the corresponding chronic diseases, such as hypertension, diabetes, hyperlipidemia, obesity, arthritis, etc.; these medical histories will affect the patient's exercise tolerance and the choice of exercise plan; understand the medications the patient is currently using, including cardiovascular drugs, hypoglycemic drugs, and antihypertensive drugs, and give corresponding medication precautions set for the drugs the patient is currently using; certain drugs may affect the patient's heart rate, blood pressure, blood sugar and other physiological indicators, thereby affecting the formulation of the exercise plan; Then, different exercise requirements are set according to the physical functions of patients of different age groups. Young patients are usually stronger and have a stronger tolerance to exercise, so they can choose relatively high-intensity exercise methods, such as jogging and swimming. Elderly patients have gradually declining physical functions, so they may be more suitable for low-intensity exercise, such as walking and Tai Chi. Different selection items are set for male and female patients. For male patients, the optional items are weightlifting and push-ups; for female patients, the optional items are yoga and Pilates. Due to the differences in body structure and hormone levels between men and women, their adaptability and needs for exercise are also different. Generally speaking, men have relatively more muscle mass and greater strength, and can withstand higher-intensity exercise; women may pay more attention to flexibility and balance training; male patients can appropriately increase the proportion of strength training, including weightlifting and push-ups; female patients can pay more attention to flexibility and core strength exercises, including yoga and Pilates. Calculate the BMI based on the patient's height and weight to determine the patient's obesity level, and set corresponding rules for the patient based on the patient's obesity level, i.e., for patients with a BMI of more than 30, increase aerobic exercise to consume calories and lose weight, while also paying attention to joint protection to avoid joint damage due to excessive weight; According to the different underlying diseases of the patients, the corresponding personalized exercise plans are set; based on the settings given for the patient's basic personal information mentioned above, the patient's setting needs are obtained.

[0007] Preferably, during the generation of the exercise plan by the plan recommendation unit, the process of analyzing the patient's response to exercise of different intensities and durations is as follows: The response assessment is determined by reviewing the patient's exercise records and treatment history; the response assessment includes: if the patient's heart rate, blood pressure and blood oxygen saturation fluctuate within a safe range for type A exercise intensity and duration in past exercise, that is, it shows good adaptation and positive treatment effects, and there is no abnormality after exercise, that is, he feels good after exercise, then the duration of this type of exercise should be increased; conversely, if the patient's heart rate, blood pressure and blood oxygen saturation fluctuate outside the safe range for type B exercise intensity and duration, that is, adverse reactions occur: too high heart rate, abnormal blood pressure fluctuations or a significant decrease in blood oxygen saturation, then the duration of this type of exercise should be shortened, or the intensity of exercise should be reduced.

[0008] Preferably, the process of obtaining the optimal exercise plan is as follows: The effect feedback module collects the treatment effects of coronary artery patients during the treatment process, and obtains the changes in the patient's physiological indicators, the results of the exercise tolerance assessment, and the patient's subjective feelings. Then the doctor evaluates the effect of exercise therapy based on the changes in the patient's physiological indicators, the results of the exercise tolerance assessment, and the patient's subjective feelings, and obtains treatment feedback. The doctor can judge whether the exercise plan needs to be adjusted based on his or her clinical experience and professional knowledge. The effect feedback module obtains the health records of each coronary artery patient from the archive management unit, analyzes the patient's health records, understands the patient's disease progression, treatment progress, and exercise history, and obtains the archive analysis results. According to the treatment feedback and archive analysis results, the parameters of the exercise plan are adjusted to obtain the optimal exercise plan. If the patient's exercise tolerance is significantly improved, the exercise intensity, duration, or frequency can be appropriately increased. The exercise intensity can be increased from 60% of the maximum heart rate to 70%, or the exercise duration can be increased from 30 minutes to 40 minutes. If the patient has discomfort symptoms or abnormal physiological indicators during exercise, it is necessary to reduce the exercise intensity, shorten the exercise duration, or reduce the exercise frequency. At the same time, the type of exercise is adjusted according to the basic personal information and medical history in the patient's health record. The adjusted exercise plan will be verified and optimized; the patient will exercise according to the preferred exercise plan, and the changes in the patient's physiological indicators, improvement in exercise tolerance and subjective feelings will be observed. If the patient's exercise tolerance continues to improve and no discomfort symptoms occur, then the plan is considered to be the preferred exercise plan, indicating that the new exercise plan is effective; if problems are found during implementation, adjustments and optimizations will be required again until the most suitable exercise plan for the patient is found.

[0009] Preferably, the process of collecting the treatment effect of the coronary artery patient during the treatment process by the effect feedback module is as follows: First, the evaluation indicators are clearly defined, including physiological indicators, sports performance indicators and subjective feeling indicators. Among them, physiological indicators include heart rate changes, blood pressure changes and blood oxygen saturation; sports performance indicators include exercise duration, exercise intensity and fatigue level; subjective feeling indicators include dyspnea and chest pain or discomfort; For physiological indicators: Heart rate changes: The heart rate evaluation data is obtained by evaluating the heart rate difference before and after exercise and the heart rate fluctuation range during exercise. These reflect the heart's ability to adapt to exercise; a lower heart rate increase and a faster heart rate recovery time after exercise usually indicate better exercise tolerance; Blood pressure changes: By monitoring the blood pressure values ​​before and after exercise, observing the changes in systolic and diastolic blood pressure, and obtaining blood pressure assessment data; stable blood pressure changes indicate that the cardiovascular system is better adaptable during exercise; Blood oxygen saturation: The blood oxygen saturation during exercise is evaluated to obtain blood oxygen evaluation data, which is an important indicator of the body's tolerance to exercise; if the blood oxygen saturation drops significantly, it may indicate insufficient cardiopulmonary function; physiological indicator changes are generated based on the three evaluation data in the physiological indicators; For sports performance indicators: Exercise duration: The duration of exercise is evaluated by the length of time the patient can continue to exercise. The duration evaluation data can intuitively reflect the changes in exercise tolerance. As the treatment progresses, if the patient can gradually extend the exercise time, it means that the exercise tolerance is improving. Exercise intensity: The patient's metabolic equivalents during exercise are measured to obtain exercise intensity assessment data and assess exercise intensity; an increase in metabolic equivalents indicates that the patient can withstand higher intensity exercise, that is, exercise tolerance is improved; Fatigue level: The fatigue level after exercise is assessed by using a fatigue assessment scale to obtain fatigue level assessment data. A lower fatigue level indicates that the patient's adaptability to exercise is enhanced and exercise tolerance is improved. The exercise tolerance assessment results are generated based on the three assessment data in the exercise performance indicators; For subjective feeling indicators: Degree of dyspnea: The degree of dyspnea felt by the patient during exercise is used to assess the degree of dyspnea, which is an important subjective indicator for assessing exercise tolerance. The Borg dyspnea scale is used to ask patients to score the degree of dyspnea during exercise. A lower score indicates a milder degree of dyspnea and a relatively better exercise tolerance. Chest pain or discomfort: The patient is asked whether he or she experiences chest pain, chest tightness or discomfort during exercise to obtain chest pain or discomfort assessment data; if the patient's chest pain or discomfort symptoms during exercise are reduced or alleviated, it means that exercise tolerance may be improving; the patient's subjective feelings are generated based on the two assessment data in the subjective feeling index.

[0010] Preferably, the process of obtaining treatment feedback is as follows: arrange patients to use portable monitoring equipment to measure heart rate, blood pressure and blood oxygen saturation once every two weeks to ensure the accuracy of the data; at the same time, the patient records the duration, intensity and subjective feelings of each exercise, such as the degree of dyspnea and chest pain, through paper forms or mobile applications; recording through paper forms or mobile applications makes it convenient for patients to record and submit data at any time; regular exercise tests are performed; in the hospital, medical staff use medical equipment to monitor the patient's physiological indicators and record the patient's exercise performance and subjective feelings; the exercise test can be performed in a hospital or a professional rehabilitation center to ensure the safety and effectiveness of the test; the patient's evaluation data at different time points are compared to observe the changing trend of exercise tolerance; at the same time , analyze the changes in the patient's subjective perception indicators, such as the improvement in the degree of dyspnea and chest pain; if the patient shows a positive trend of change in multiple indicators, it means that the exercise tolerance is improving; conduct a comprehensive evaluation based on physiological indicators, exercise performance indicators and subjective perception indicators to obtain treatment feedback; different indicators may affect each other, so it is necessary to consider all aspects comprehensively; generate an evaluation report on the improvement of exercise tolerance based on treatment feedback; the evaluation report includes the patient's various evaluation indicator data, change trend analysis and suggestions for adjustment of the exercise plan; the evaluation report can be provided to doctors and patients as a basis for adjusting exercise plans and treatment plans; doctors can optimize the patient's exercise plan based on the suggestions in the evaluation report to better meet the patient's rehabilitation needs.

[0011] Preferably, the program optimization unit constructs a patient exercise tolerance model based on randomized controlled trial data, predicts the patient's response to different exercise intensities through the model, generates a prediction report, and adjusts the patient's exercise program through the prediction report combined with treatment feedback and the health record of each coronary artery patient to generate an optimal exercise program, thereby providing sufficient basis for the optimization of the exercise program; The program optimization unit also introduces a dynamic safety alarm mechanism, which monitors the patient's physiological indicators during exercise. When abnormal physiological indicators are detected, a termination signal and an alarm prompt are generated. The exercise is automatically terminated through the termination signal, and the medical staff is reminded through the alarm prompt to ensure the safety of the patient. Among them, abnormal physiological indicators include high heart rate and excessive blood pressure fluctuations. This method combines multi-dimensional physiological data with real-time transmission technology to ensure the integrity and real-time nature of the data. At the same time, it gradually optimizes the data monitoring process and early warning mechanism through big data technology to provide accurate data support for the scientific formulation of exercise tolerance treatment plans.

[0012] Preferably, the process of constructing the exercise tolerance model is as follows: Collect randomized controlled trial data of patients with coronary artery disease; including basic information of patients, medical history, medication status, exercise program, physiological indicators during exercise, and exercise tolerance assessment results; basic information includes age, gender, height, and weight; exercise program includes exercise type, intensity, duration, and frequency; physiological indicators include heart rate, blood pressure, and blood oxygen saturation; exercise tolerance assessment results include walking distance per minute and maximum oxygen uptake; ensure the accuracy and completeness of the data, clean and preprocess the data, and remove outliers and missing values; Select features related to the patient's exercise tolerance from the collected randomized controlled trial data, use correlation analysis and principal component analysis in the feature selection algorithm to obtain feature subsets, and sort the feature subsets according to the degree of influence on exercise tolerance to obtain the feature subset with the greatest influence on exercise tolerance, which is recorded as patient characteristics; patient characteristics include individual characteristics, medical history characteristics, medication characteristics, exercise program characteristics and physiological index characteristics of patients; individual characteristics include age, gender, BMI, and medical history characteristics include whether there are complications of hypertension and diabetes; reduce the complexity of the model and improve the accuracy and generalization ability of the model; A neural network model was selected, and the collected patient characteristics and randomized controlled trial data were divided into a training set and a test set; the training set was divided into multiple subsets, and one of the subsets was used as a validation set each time, and the remaining subsets were used as training sets to train and validate the neural network model. This was repeated multiple times, and the parameters of the neural network model were adjusted so that the neural network model could learn the relationship between patient characteristics and exercise tolerance. Finally, the model parameters with the best average performance were selected to obtain a trained initial model; the trained initial model was evaluated using the test set and based on the model evaluation indicators to obtain the model evaluation results, and the model evaluation indicators included the mean square error, the mean absolute error, and the determination coefficient; the model evaluation results were evaluated until they met the model evaluation indicators to obtain a determined exercise tolerance model.

[0013] Preferably, the process of generating a forecast report: The patient characteristics of the coronary artery patient to be predicted are input into the constructed exercise tolerance model. The exercise tolerance model predicts the patient's response to different exercise intensities based on the input patient characteristics, and can predict the patient's heart rate changes, blood pressure changes, blood oxygen saturation changes, and exercise tolerance assessment results at different exercise intensities; output the prediction results and present them in the form of a prediction result vector, in which each element represents the patient's response index value at a specific exercise intensity; analyze and compare the prediction results at different exercise intensities, select the exercise intensity suitable for the patient, and obtain the analysis results; if the model predicts that the patient's heart rate, blood pressure and blood oxygen saturation changes at a certain exercise intensity are within a safe range, and the exercise tolerance assessment results are good, then this exercise intensity may be suitable for the patient; at the same time, the patient's subjective feelings and treatment feedback can also be considered to further adjust and optimize the prediction results; generate a prediction report based on the analysis results, and the prediction report should include the patient's basic information, current exercise plan, response results at different exercise intensities predicted by the model, and recommended exercise intensity and adjustment suggestions.

[0014] The present invention provides an exercise tolerance treatment management system for coronary artery patients based on a randomized controlled trial, which has the following beneficial effects: 1. This exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials evaluates the improvement of patients' exercise tolerance during the treatment process through the physiological indicators, exercise performance indicators and subjective feeling indicators clearly defined in the effect feedback module; it realizes multi-dimensional evaluation and can fully understand the patient's exercise effect and physical reaction; it can also optimize and adjust the patient's exercise plan based on the evaluation results and the patient's health record, and generate the preferred exercise plan; in addition, the constructed exercise tolerance model also predicts the patient's response to different exercise intensities based on the randomized controlled trial data. This method provides a scientific basis for the adjustment of the plan, so that the formulation of the exercise plan is close to the patient's real-time status, and realizes the scientific and safe management of the exercise tolerance treatment management of coronary artery patients.

[0015] 2. This exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials adjusts the exercise plan according to the patient's individual characteristics and treatment response, allowing patients to perform effective exercise training within a safe range, promote the recovery and improvement of cardiovascular function, better meet the patients' needs and physical conditions, improve patients' compliance with exercise therapy, and thus enhance the effect of exercise tolerance therapy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flowchart of the exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials. DETAILED DESCRIPTION

[0017] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0018] like Figure 1 As shown, the present invention provides a technical solution: an exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials, including a scheme recommendation module and an effect feedback module, wherein the scheme recommendation module includes a data acquisition unit, a scheme recommendation unit and a file management unit; The data acquisition unit includes a physiological index monitoring device, which collects the patient's physiological data during exercise in real time through the physiological index monitoring device, and uploads the physiological data to the central processing server through wireless transmission technology; wherein the physiological index monitoring device includes a heart rate monitoring device, a blood pressure sensor, and a blood oxygen saturation measuring instrument; The program recommendation unit is used to extract the patient's physiological indicators from the patient's physiological data, and is also used to generate an exercise program based on the physiological indicators combined with the patient data, wherein the treatment response includes the patient's response to exercise of different intensities and durations, and the patient data includes the patient's individual characteristics and treatment response; The file management unit is used to establish and maintain the health file of each coronary artery patient. The health file contains basic personal information, medical history, medication status and exercise records to ensure that the formulation of the exercise plan takes individual differences into account; The effect feedback module includes a regimen optimization unit, which is used to evaluate the improvement of exercise tolerance of coronary artery patients during treatment, obtain treatment feedback, and adjust the patient's exercise plan based on the treatment feedback and the health records of each coronary artery patient to obtain the optimal exercise plan to ensure the effectiveness and safety of the plan.

[0019] The specific process of the plan recommendation unit generating a motion plan: The solution recommendation unit receives the physiological data uploaded from the data acquisition unit and pre-processes the physiological data, which includes heart rate monitoring data, blood pressure data and blood oxygen saturation data. For the heart rate monitoring data, if there is obvious abnormal fluctuation, it is smoothed by a filtering algorithm; for the blood pressure and blood oxygen saturation data, the abnormal values ​​that deviate from the normal range are removed; then the data collected by different physiological indicator monitoring devices are synchronized in time to clarify the corresponding relationship between each indicator at the same time point; it should be further explained that in the specific implementation process, the heart rate, blood pressure and blood oxygen saturation data can be aligned according to the collection time for subsequent comprehensive analysis; Extract key physiological indicators from the pre-processed physiological data; for the data collected by the heart rate monitoring device, the average heart rate is obtained by averaging the heart rate data within a set time period, and the maximum and minimum values ​​are found as the maximum heart rate and the minimum heart rate respectively; for the data collected by the blood pressure sensor, the average values ​​of the systolic pressure and the diastolic pressure are calculated in the blood pressure data at multiple measurement time points, and their fluctuation ranges are determined to reflect the stability of the patient's blood pressure; for the data collected by the blood oxygen saturation meter, the average value is calculated in the blood oxygen saturation data within a set time period to obtain the average blood oxygen saturation, and the minimum value is recorded as the minimum blood oxygen saturation; Combined with the individual characteristics in the patient data, the set requirements of the patient are analyzed, where the individual characteristics include age, gender, body mass index, and underlying diseases; the set requirements include the patient's tolerance and demand for exercise; where different individual characteristics have different tolerance and demand for exercise; it should be further explained that in the specific implementation process, older patients may need lower intensity exercise; there may be differences in exercise needs between men and women; patients with higher BMI may need to pay more attention to aerobic exercise to lose weight; patients with underlying diseases need to adjust their exercise plans according to the disease conditions, such as diabetic patients need to pay attention to blood sugar monitoring before and after exercise; Analyze the patient's response to exercise of different intensities and durations to obtain a response evaluation; generate an exercise plan that matches the patient based on physiological indicators, individual characteristics, and treatment response evaluation; the exercise plan includes exercise type, exercise intensity, exercise duration, and exercise frequency; exercise types include walking, jogging, swimming, and cycling; exercise intensity includes heart rate range and metabolic equivalents; exercise frequency is expressed as the number of exercises per week; it should be further explained that in the specific implementation process, for a 60-year-old coronary artery patient with moderate BMI and mild hypertension, based on his physiological indicators and treatment response, the generated exercise plan may be three walks per week, each lasting 30 minutes, with exercise intensity controlled at 60% to 70% of the maximum heart rate; at the same time, it is recommended that patients pay close attention to changes in heart rate and blood pressure during exercise, and stop exercising and consult a doctor in time if they feel uncomfortable; Through the above process, the regimen recommendation unit can extract physiological indicators from the patient's physiological data, and generate a personalized exercise plan based on the individual characteristics and treatment response in the patient's data, providing a scientific basis for the exercise tolerance treatment management of coronary artery patients.

[0020] The process of analyzing individual characteristics is as follows: Obtain the patient's basic personal information from the file management unit. The basic personal information includes age, gender, height, and weight. This information can directly reflect the patient's basic physiological condition. It should be further explained that, in the specific implementation process, older patients have relatively weaker physical functions, and it is necessary to consider reducing exercise intensity and risks when formulating exercise plans. Men and women differ in body structure and hormone levels, and may have different adaptability and needs for exercise. Check the patient's medical history to find out whether the patient has chronic diseases, and give disease precautions corresponding to the corresponding chronic diseases, such as hypertension, diabetes, hyperlipidemia, obesity, arthritis, etc. These medical histories will affect the patient's exercise tolerance and the choice of exercise plan. It should be further explained that, in the specific implementation process, if the patient has high blood pressure, during exercise, During the exercise, it is necessary to pay close attention to changes in blood pressure and avoid strenuous exercise that may cause high blood pressure; diabetic patients need to pay attention to blood sugar monitoring before and after exercise to prevent hypoglycemia; arthritis patients need to choose exercise methods that put less pressure on joints; understand the medications the patient is currently using, including cardiovascular drugs, hypoglycemic drugs, and antihypertensive drugs, and give corresponding medication precautions for the drugs the patient is currently using; certain drugs may affect the patient's heart rate, blood pressure, blood sugar and other physiological indicators, thereby affecting the formulation of exercise plans; it needs to be further explained that in the specific implementation process, the heart rate of patients using drugs such as beta-blockers may be suppressed, and when formulating exercise plans, it is necessary to consider adjusting the intensity of exercise to avoid a low heart rate; diabetic patients using insulin need to pay attention to adjusting drug dosage and diet during exercise to prevent hypoglycemia; Then, different exercise requirements are set according to the physical functions of patients of different age groups. For young patients, who are usually stronger and have a stronger tolerance to exercise, they can choose relatively high-intensity exercise methods, such as jogging and swimming. For elderly patients, whose physical functions gradually decline, low-intensity exercise may be more suitable, such as walking and Tai Chi. It should be further explained that in the specific implementation process, for a 30-year-old patient, a more active exercise plan can be considered, with three to four moderate-intensity aerobic exercises and moderate strength training per week. For a 70-year-old patient, the exercise plan may be based on low-intensity walking and simple joint activities several times a week. Different selection items are set for male and female patients. For male patients, the optional items are weightlifting and push-ups; for female patients, the optional items are yoga and Pilates. Due to the differences in body structure and hormone levels between men and women, their adaptability and needs for exercise are also different. Generally speaking, men have relatively more muscle mass and greater strength, and can withstand higher-intensity exercise; women may pay more attention to flexibility and balance training; male patients can appropriately increase the proportion of strength training, including weightlifting and push-ups; female patients can pay more attention to flexibility and core strength exercises, including yoga and Pilates. The BMI is calculated based on the patient's height and weight to determine the patient's obesity level, and corresponding rules are set for the patient based on the patient's obesity level, namely: for patients with a BMI of more than 30, increase aerobic exercise to consume calories and lose weight, and also pay attention to joint protection to avoid joint damage due to excessive weight; it should be further explained that in the specific implementation process, for obese patients with a BMI of more than 30, the exercise plan can be based on low-impact aerobic exercise, including swimming and cycling, combined with appropriate diet control to gradually reduce weight; According to the different underlying diseases of the patients, the corresponding personalized exercise plans are set; the setting requirements of the patients are obtained by combining the above settings given for the basic personal information of the patients; it should be further explained that in the specific implementation process, for patients with hypertension, it is necessary to avoid drastic fluctuations in blood pressure during exercise, choose a gentler exercise method, such as walking, yoga, etc., and pay attention to monitoring blood pressure; for diabetic patients, it is necessary to reasonably arrange exercise time and intensity to avoid hypoglycemia, and combine diet and drug treatment to control blood sugar levels; if the patient suffers from multiple underlying diseases at the same time, it is necessary to comprehensively consider the impact of various diseases and formulate a more cautious exercise plan to ensure the safety of the patient during exercise; Through the above individual characteristics analysis process, a more personalized, safe and effective exercise plan can be developed for coronary artery patients.

[0021] When the program recommendation unit generates an exercise program, the process of analyzing the patient's response to exercise of different intensities and durations is as follows: The response assessment is determined by reviewing the patient's exercise records and treatment history; the response assessment includes: if the patient's heart rate, blood pressure and blood oxygen saturation fluctuate within a safe range for type A exercise intensity and duration in the past, that is, it shows good adaptation and positive treatment effects, and there is no abnormality after exercise, that is, he feels good after exercise, then the duration of this type of exercise should be increased; conversely, if the patient's heart rate, blood pressure and blood oxygen saturation fluctuate outside the safe range for type B exercise intensity and duration, that is, adverse reactions occur: too high heart rate, abnormal blood pressure fluctuations, and a significant decrease in blood oxygen saturation, then the duration of this type of exercise should be shortened.

[0022] The process of obtaining the optimal exercise plan is as follows: The effect feedback module collects the treatment effects of coronary artery patients during the treatment process, and obtains the changes in the patients' physiological indicators, exercise tolerance assessment results and the patients' subjective feelings; then the doctor evaluates the effect of exercise therapy based on the changes in the patients' physiological indicators, exercise tolerance assessment results and the patients' subjective feelings, and obtains treatment feedback; the doctor can judge whether the exercise plan needs to be adjusted based on his or her clinical experience and professional knowledge; it should be further explained that in the specific implementation process, the doctor checks the changes in the patient's heart rate, blood pressure, blood oxygen saturation and other physiological indicators before and after exercise. If these indicators fluctuate within a reasonable range, and the patient's exercise tolerance is improved and the subjective feeling is good, then the current exercise plan can be considered effective; if some physiological indicators show abnormal changes, the doctor needs to adjust the exercise plan; the effect feedback module obtains the health record of each coronary artery patient from the file management unit, analyzes the patient's health record, understands the patient's disease development, treatment progress and exercise history, and obtains the file analysis results; it should be further explained that in the specific implementation process, check the patient's Check whether there are complications in the patient's medical history, such as diabetes, hypertension, etc. These complications may affect the adjustment of the exercise plan; at the same time, review the patient's medication situation. Some drugs may affect the patient's exercise ability, heart rate, and blood pressure. These factors need to be taken into account when adjusting the exercise plan; adjust the parameters of the exercise plan according to the treatment feedback and file analysis results to obtain the optimal exercise plan; if the patient's exercise tolerance has been significantly improved, the exercise intensity, duration, and frequency can be appropriately increased; the exercise intensity can be increased from 60% of the maximum heart rate to 70%. If the patient has abnormal physiological indicators during exercise, it is necessary to reduce the exercise intensity, shorten the exercise duration, and reduce the exercise frequency; it needs to be further explained that in the specific implementation process, the exercise intensity is reduced to 50% of the maximum heart rate; at the same time, adjust the type of exercise according to the patient's basic personal information and medical history in the patient's health file; it needs to be further explained that in the specific implementation process, if the patient has problems such as arthritis and is not suitable for running and other sports that have a greater impact on the joints, they can switch to cycling, which is a more joint-friendly exercise; Verify and optimize the adjusted exercise program; have the patient exercise according to the preferred exercise program, and observe the patient's changes in physiological indicators, exercise tolerance improvement, and subjective feelings. If the patient's exercise tolerance continues to improve and no discomfort symptoms occur, then the program is considered to be the preferred exercise program, indicating that the new exercise program is effective; if problems are found during implementation, it is necessary to adjust and optimize again until the most suitable exercise program for the patient is found; Through the above process, combined with treatment feedback and the patient's health records, the exercise plan can be continuously adjusted and optimized to obtain the optimal exercise plan, providing better support for exercise tolerance treatment management for coronary artery patients.

[0023] The process of collecting the treatment effect of coronary artery patients during the treatment process by the effect feedback module is as follows: first, the evaluation indicators are clarified, including physiological indicators, exercise performance indicators and subjective feeling indicators; among them, physiological indicators include heart rate changes, blood pressure changes and blood oxygen saturation; exercise performance indicators include exercise duration, exercise intensity and fatigue level; subjective feeling indicators include dyspnea and chest pain or discomfort; For physiological indicators: Heart rate changes: The heart rate evaluation data is obtained by evaluating the heart rate difference before and after exercise and the heart rate fluctuation range during exercise. These reflect the heart's ability to adapt to exercise; a lower heart rate increase and a faster heart rate recovery time after exercise usually indicate better exercise tolerance; Blood pressure changes: By monitoring the blood pressure values ​​before and after exercise, observing the changes in systolic and diastolic blood pressure, and obtaining blood pressure assessment data; stable blood pressure changes indicate that the cardiovascular system is better adaptable during exercise; Blood oxygen saturation: The blood oxygen saturation during exercise is evaluated to obtain blood oxygen evaluation data, which is an important indicator of the body's tolerance to exercise; if the blood oxygen saturation drops significantly, it may indicate insufficient cardiopulmonary function; physiological indicator changes are generated based on the three evaluation data in the physiological indicators; For sports performance indicators: Exercise duration: The duration of exercise is evaluated by the length of time the patient can continue to exercise. The duration evaluation data can intuitively reflect the changes in exercise tolerance. As the treatment progresses, if the patient can gradually extend the exercise time, it means that the exercise tolerance is improving. Exercise intensity: The patient's metabolic equivalents during exercise are measured to obtain exercise intensity assessment data and assess exercise intensity; an increase in metabolic equivalents indicates that the patient can withstand higher intensity exercise, that is, exercise tolerance is improved; Fatigue level: The fatigue level after exercise is assessed by using a fatigue assessment scale to obtain fatigue level assessment data. A lower fatigue level indicates that the patient's adaptability to exercise is enhanced and exercise tolerance is improved. The exercise tolerance assessment results are generated based on the three assessment data in the exercise performance indicators; For subjective feeling indicators: Degree of dyspnea: The degree of dyspnea felt by the patient during exercise is used to assess the degree of dyspnea, which is an important subjective indicator for assessing exercise tolerance. The Borg dyspnea scale is used to ask patients to score the degree of dyspnea during exercise. A lower score indicates a milder degree of dyspnea and a relatively better exercise tolerance. Chest discomfort: The patient is asked whether he or she experiences chest discomfort during exercise to obtain discomfort assessment data; if the patient's discomfort symptoms are alleviated during exercise, it indicates that exercise tolerance may be improving; the patient's subjective feelings are generated based on the two assessment data in the subjective feeling index.

[0024] The process of obtaining treatment feedback is as follows: arrange patients to use portable monitoring equipment to measure heart rate, blood pressure and blood oxygen saturation once every two weeks to ensure the accuracy of the data; at the same time, patients use mobile applications to record the duration, intensity and subjective feelings of each exercise, such as the degree of dyspnea and chest pain; recording through mobile applications is convenient for patients to record and submit data at any time; regular exercise tests, 6-minute walk tests and cardiopulmonary exercise tests are performed; patients' exercise tolerance and cardiovascular function can be more comprehensively evaluated; in hospitals, medical staff use medical equipment to monitor patients' physiological indicators and record patients' exercise performance and subjective feelings; exercise tests can be performed in hospitals to ensure the safety and effectiveness of the tests; patients' evaluation data at different time points are compared to observe the changing trend of exercise tolerance; it should be further explained that in the specific implementation process, the patient's heart rate changes, exercise duration, exercise intensity and other indicators at the beginning of treatment and after a period of treatment are compared to determine whether exercise tolerance has improved; at the same time, the changes in patients' subjective feeling indicators, such as the improvement of dyspnea and chest pain, are analyzed; if the patient shows positive results on multiple indicators The changing trend of the patient's exercise tolerance indicates that the exercise tolerance is improving; a comprehensive evaluation is conducted by combining physiological indicators, exercise performance indicators and subjective feeling indicators to obtain treatment feedback; different indicators may affect each other, so it is necessary to consider all aspects comprehensively; it should be further explained that in the specific implementation process, if the patient's heart rate changes and blood pressure changes are within the normal range, the exercise duration and exercise intensity are increased, and the degree of dyspnea and chest pain are reduced, then it can be considered that the patient's exercise tolerance has been significantly improved; if some indicators show abnormal changes, it is necessary to further analyze the reasons and adjust the exercise plan; an evaluation report on the improvement of exercise tolerance is generated based on the treatment feedback; the evaluation report includes the patient's various evaluation indicator data, change trend analysis and suggestions for adjustment of the exercise plan; the evaluation report can be provided to doctors and patients as a basis for adjusting the exercise plan and treatment plan; doctors can optimize the patient's exercise plan based on the suggestions in the evaluation report to better meet the patient's rehabilitation needs; through the above process, the effect feedback module can conduct a comprehensive and accurate evaluation of the improvement of the exercise tolerance of coronary artery patients during the treatment process, and provide strong support for the patient's rehabilitation treatment.

[0025] The program optimization unit builds a patient exercise tolerance model based on randomized controlled trial data, predicts the patient's response to different exercise intensities through the model, generates a prediction report, and adjusts the patient's exercise plan through the prediction report combined with treatment feedback and the health records of each coronary artery patient to generate an optimal exercise plan, providing sufficient basis for the optimization of the exercise plan; The program optimization unit also introduces a dynamic safety alarm mechanism, which monitors the patient's physiological indicators during exercise. When abnormal physiological indicators are detected, a termination signal and an alarm prompt are generated. The exercise is automatically terminated through the termination signal, and the medical staff is reminded through the alarm prompt to ensure the safety of the patient. Among them, abnormal physiological indicators include high heart rate and excessive blood pressure fluctuations. This method combines multi-dimensional physiological data with real-time transmission technology to ensure the integrity and real-time nature of the data. At the same time, it gradually optimizes the data monitoring process and early warning mechanism through big data technology to provide accurate data support for the scientific formulation of exercise tolerance treatment plans.

[0026] The construction process of exercise tolerance model: Collect randomized controlled trial data of patients with coronary artery disease; including basic information of patients, medical history, medication status, exercise program, physiological indicators during exercise, and exercise tolerance assessment results; basic information includes age, gender, height, and weight; exercise program includes exercise type, intensity, duration, and frequency; physiological indicators include heart rate, blood pressure, and blood oxygen saturation; exercise tolerance assessment results include walking distance per minute and maximum oxygen uptake; ensure the accuracy and completeness of the data, clean and preprocess the data, and remove outliers and missing values; Select features related to the patient's exercise tolerance from the collected randomized controlled trial data, use correlation analysis and principal component analysis in the feature selection algorithm to obtain feature subsets, and sort the feature subsets according to the degree of influence on exercise tolerance to obtain the feature subset with the greatest influence on exercise tolerance, which is recorded as patient characteristics; patient characteristics include individual characteristics, medical history characteristics, medication characteristics, exercise program characteristics and physiological index characteristics of patients; individual characteristics include age, gender, BMI, and medical history characteristics include whether there are complications of hypertension and diabetes; reduce the complexity of the model and improve the accuracy and generalization ability of the model; A neural network model was selected, and the collected patient characteristics and randomized controlled trial data were divided into a training set and a test set; the training set was divided into multiple subsets, and one of the subsets was used as a validation set each time, and the remaining subsets were used as training sets to train and validate the neural network model. This was repeated multiple times, and the parameters of the neural network model were adjusted so that the neural network model could learn the relationship between patient characteristics and exercise tolerance. Finally, the model parameters with the best average performance were selected to obtain a trained initial model; the trained initial model was evaluated using the test set and based on the model evaluation indicators to obtain the model evaluation results, and the model evaluation indicators included the mean square error, the mean absolute error, and the determination coefficient; the model evaluation results were evaluated until they met the model evaluation indicators to obtain a determined exercise tolerance model.

[0027] Process of generating forecast report: The patient characteristics of the coronary artery patient to be predicted are input into the constructed exercise tolerance model. The exercise tolerance model predicts the patient's response to different exercise intensities based on the input patient characteristics. It should be further explained that in the specific implementation process, the patient's heart rate changes, blood pressure changes, blood oxygen saturation changes, and exercise tolerance evaluation results under different exercise intensities are predicted; the prediction results are output and presented in the form of a prediction result vector, in which each element represents the patient's response index value under a specific exercise intensity; the prediction results under different exercise intensities are analyzed and compared, and the exercise intensity suitable for the patient is selected to obtain the analysis results; it should be further explained that in the specific implementation process, if the model predicts that the patient is at a certain If the changes in heart rate, blood pressure and blood oxygen saturation under exercise intensity are within a safe range and the exercise tolerance assessment results are good, then this exercise intensity may be suitable for the patient; at the same time, the patient's subjective feelings and treatment feedback can be considered to further adjust and optimize the prediction results; a prediction report is generated based on the analysis results. The prediction report should include the patient's basic information, the current exercise plan, the response results under different exercise intensities predicted by the model, and the recommended exercise intensity and adjustment suggestions; the prediction report is provided to doctors and patients as a reference for adjusting the exercise plan; doctors can formulate a more personalized, safe and effective exercise plan based on the suggestions in the prediction report and the actual situation of the patient; It should be further explained that, in the specific implementation process, through the above process, the exercise tolerance model is constructed and the prediction results are generated, which can provide a scientific basis for the adjustment of the exercise program for patients with coronary artery disease and improve the effect and safety of exercise tolerance treatment management; The physiological indicator monitoring equipment of the data acquisition unit collects the patient's physiological data during exercise in real time, and combines it with the patient's personal basic information, medical history, medication status, exercise records and other multi-dimensional data in the file management unit to provide a comprehensive information basis for formulating personalized exercise plans. The plan recommendation unit can extract key indicators from the physiological data, and combine the patient's individual characteristics and response to exercise of different intensities and durations to generate a personalized exercise plan that includes exercise type, intensity, duration and frequency.

[0028] It should be further explained that the process of building a dynamic safety alarm mechanism in the specific implementation process is as follows: clarify the physiological indicators to be monitored: heart rate, blood pressure and blood oxygen saturation; these indicators directly reflect the state of the patient's cardiovascular system during exercise and are crucial to assessing the patient's safety; set abnormal standards: define heart rate: determined according to the patient's age, physical condition and doctor's advice; for general coronary artery patients, a heart rate exceeding 80% of the maximum heart rate during exercise can be considered to be too high; define blood pressure: set the range of changes in systolic and diastolic blood pressure; if the change in systolic blood pressure exceeds 20 mmHg, it is considered that the blood pressure fluctuates too much; define blood oxygen saturation: determine the reference range of normal people's blood oxygen saturation by consulting medical literature and research materials and consulting professional doctors; select a heart rate monitoring bracelet to monitor the patient's heart rate changes in real time, use a portable electronic blood pressure monitor to regularly measure the patient's blood pressure during exercise, and use a wrist oximeter to monitor the patient's blood oxygen saturation changes in real time to obtain monitoring data; use Wi-Fi to transmit the monitoring data to the central processing server, and analyze the received physiological indicator data in the central processing server; Different levels of alarms are set according to the abnormality of physiological indicators; the abnormality is divided into mild abnormality, moderate abnormality and severe abnormality, and the alarms corresponding to the abnormality are set as reminder alarms, warning alarms and emergency alarms respectively; a reminder alarm is issued for a mild abnormality, a warning alarm is issued for a moderate abnormality, and an emergency alarm is issued for a severe abnormality; a yellow mark is set for the reminder alarm, an orange mark is set for the warning alarm, and a red mark is set for the emergency alarm; by setting different alarms according to different levels and distinguishing them with different colors, medical staff and patients can quickly identify the severity of the alarm; Set trigger conditions: trigger the corresponding level of alarm when the monitored heart rate exceeds the set heart rate too high threshold, when the blood pressure fluctuation exceeds the set blood pressure fluctuation too large threshold, or when the blood oxygen saturation exceeds the set blood oxygen saturation too high threshold; and set the judgment condition of the number of consecutive abnormalities to avoid false alarms. The alarm is triggered only when the heart rate exceeds the threshold three times in a row; Set the termination signal generation: When an alarm of a serious abnormality is triggered, the dynamic safety alarm mechanism automatically generates a termination signal; the termination signal automatically stops the operation of the exercise equipment through the connection with the exercise equipment to ensure the safety of the patient; at the same time, the dynamic safety alarm mechanism issues an alarm prompt and uses sound alarms, flashing lights, and text message notifications to notify medical staff and patients; for medical staff, they can receive alarm prompts through a special mobile application so that they can take timely measures; for patients, the sound prompts of wearable devices can be used to let patients stop exercising immediately and seek help; the dynamic safety alarm mechanism and comprehensive evaluation system can promptly detect abnormal conditions of patients during exercise and take corresponding measures to reduce exercise risks; medical staff can adjust the exercise plan in time according to the evaluation report and alarm prompts to ensure the safety of patients during treatment.

[0029] Before the dynamic safety alarm mechanism is actually applied, it is comprehensively tested; some coronary artery patients are invited to perform simulated exercise tests to verify the accuracy of the monitoring equipment, the stability of data transmission, and the reliability of the alarm system; different exercise intensities and scenarios are tested to ensure that the safety alarm mechanism can issue alarms in a timely and accurate manner under various circumstances; based on the test results, the safety alarm mechanism is optimized and adjusted; the triggering conditions of the alarm are adjusted, the data processing algorithm is optimized, and the alarm prompt method is improved to improve the system's performance and user experience; user feedback and data from actual applications are continuously collected to continuously improve and optimize the system to ensure that the dynamic safety alarm mechanism can provide reliable protection for the exercise safety of coronary artery patients.

[0030] The exercise tolerance model is updated based on new randomized controlled trial data to improve prediction accuracy, and the evaluation indicators are adjusted according to the patient's actual situation to make them more in line with clinical practice. By continuously collecting new data and user feedback, the system can continuously optimize and improve the exercise tolerance model, evaluation indicators and exercise plans to adapt to the needs of different patients and the progress of medical research.

[0031] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. An exercise tolerance treatment management system for patients with coronary artery disease based on a randomized controlled trial, characterized in that: It includes a scheme recommendation module and an effect feedback module, wherein the scheme recommendation module includes a data collection unit, a scheme recommendation unit and a file management unit; The data acquisition unit includes a physiological index monitoring device, which collects the patient's physiological data during exercise in real time through the physiological index monitoring device, and uploads the physiological data to the central processing server through wireless transmission technology; wherein the physiological index monitoring device includes a heart rate monitoring device, a blood pressure sensor, and a blood oxygen saturation measuring instrument; The program recommendation unit is used to extract the patient's physiological indicators from the patient's physiological data, and is also used to generate an exercise program based on the physiological indicators combined with the patient data, wherein the treatment response includes the patient's response to exercise of different intensities and durations, and the patient data includes the patient's individual characteristics and treatment response; The file management unit is used to establish and maintain the health file of each coronary artery patient, and the health file includes basic personal information, medical history, medication status and exercise records; The effect feedback module includes a regimen optimization unit, which is used to evaluate the improvement of exercise tolerance of coronary artery patients during treatment, obtain treatment feedback, and adjust the patient's exercise regimen based on the treatment feedback and the health record of each coronary artery patient to obtain an optimal exercise regimen.

2. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 1, characterized in that: The specific process of the scheme recommendation unit generating a motion scheme is as follows: The solution recommendation unit receives the physiological data uploaded by the data acquisition unit and pre-processes the physiological data, which includes heart rate monitoring data, blood pressure data and blood oxygen saturation data. For the heart rate monitoring data, if there are obvious spikes or abnormal fluctuations, smoothing is performed through a filtering algorithm; for blood pressure and blood oxygen saturation data, abnormal values ​​that deviate from the normal range are removed; then the data collected by different physiological indicator monitoring devices are synchronized in time to clarify the corresponding relationship between various indicators at the same time point; Extract key physiological indicators from the preprocessed physiological data; for the data collected by the heart rate monitoring device, the average heart rate is obtained by averaging the heart rate data within a set time period, and the maximum and minimum values ​​are found as the maximum heart rate and the minimum heart rate respectively; for the data collected by the blood pressure sensor, the average values ​​of the systolic pressure and the diastolic pressure are calculated in the blood pressure data at the measurement time point, and their fluctuation ranges are determined; for the data collected by the blood oxygen saturation meter, the average value is calculated in the blood oxygen saturation data within a set time period to obtain the average blood oxygen saturation, and the minimum value is recorded as the minimum blood oxygen saturation; Analyze the individual characteristics in the patient data and provide the patient's set requirements, where individual characteristics include age, gender, body mass index, and underlying diseases; set requirements include the patient's tolerance and demand for exercise; Analyze the patient's response to exercise of different intensities and durations to obtain a response evaluation; generate an exercise plan that matches the patient based on physiological indicators, set requirements of individual characteristics and response evaluation of treatment response; the exercise plan includes exercise type, exercise intensity, exercise duration and exercise frequency; exercise types include walking, jogging, swimming, and cycling; exercise intensity includes heart rate range and metabolic equivalents; exercise frequency is expressed as the number of exercises per week.

3. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 2, characterized in that: The process of analyzing individual characteristics is as follows: Obtain the patient's basic personal information from the file management unit, including age, gender, height, and weight; review the patient's medical history to understand whether the patient has any chronic diseases, and provide disease precautions corresponding to the corresponding chronic diseases; understand the medications the patient is currently using, including cardiovascular drugs, hypoglycemic drugs, and antihypertensive drugs, and provide corresponding medication precautions set for the medications the patient is currently using; Then set different exercise requirements according to the physical functions of patients of different age groups; choose jogging and swimming for young patients, and walk and Tai Chi for elderly patients; Different selection items are set for male and female patients. For male patients, the optional items are: weightlifting, push-ups; for female patients, the optional items are: yoga, Pilates; Calculate the BMI based on the patient's height and weight to determine the patient's obesity level, and set corresponding rules for the patient based on the patient's obesity level, i.e., increase aerobic exercise for patients with a BMI of more than 30; According to the different underlying diseases of the patients, the corresponding personalized exercise plans are set; based on the settings given for the patient's basic personal information mentioned above, the patient's setting needs are obtained.

4. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 3, characterized in that: During the generation of the exercise plan by the plan recommendation unit, the process of analyzing the patient's response to exercise of different intensities and durations is as follows: The response assessment is determined by reviewing the patient's exercise records and treatment history; the response assessment includes: if the patient's heart rate, blood pressure and blood oxygen saturation fluctuate within a safe range for type A exercise intensity and duration in the past, and there is no abnormality after exercise, then the duration of this type of exercise is increased; conversely, if the patient's heart rate, blood pressure and blood oxygen saturation fluctuate outside the safe range for type B exercise intensity and duration, then the duration of this type of exercise is shortened.

5. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 4, characterized in that: The process of obtaining the optimal exercise plan is as follows: The effect feedback module collects the treatment effects of coronary artery patients during the treatment process, and obtains the changes in the patients' physiological indicators, exercise tolerance assessment results and the patients' subjective feelings; then the doctor evaluates the effect of exercise therapy based on the changes in the patients' physiological indicators, exercise tolerance assessment results and the patients' subjective feelings, and obtains treatment feedback; the effect feedback module obtains the health records of each coronary artery patient from the file management unit, analyzes the patient's health records, understands the patient's disease progression, treatment progress and exercise history, and obtains the file analysis results; according to the treatment feedback and file analysis results, the parameters of the exercise plan are adjusted to obtain the optimal exercise plan; at the same time, the type of exercise is adjusted according to the patient's basic personal information and medical history in the health file; The adjusted exercise plan will be verified and optimized; the patient will exercise according to the preferred exercise plan, and the patient's physiological index changes, exercise tolerance improvement and subjective feelings will be observed. If the patient's exercise tolerance continues to improve and no discomfort symptoms occur, then the plan is considered to be the preferred exercise plan; if problems are found during the implementation process, it will need to be adjusted and optimized again until the most suitable exercise plan for the patient is found.

6. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 5, characterized in that: The process of collecting the treatment effect of the coronary artery patient during the treatment process by the effect feedback module is as follows: First, the evaluation indicators are clearly defined, including physiological indicators, sports performance indicators and subjective feeling indicators. Among them, physiological indicators include heart rate changes, blood pressure changes and blood oxygen saturation; sports performance indicators include exercise duration, exercise intensity and fatigue level; subjective feeling indicators include dyspnea and chest pain or discomfort; For physiological indicators: Heart rate changes: The heart rate evaluation data is obtained by evaluating the heart rate difference before and after exercise and the heart rate fluctuation range during exercise; Blood pressure changes: By monitoring the blood pressure values ​​before and after exercise, observing the changes in systolic and diastolic blood pressure, and obtaining blood pressure assessment data; Blood oxygen saturation: The blood oxygen saturation during exercise is evaluated to obtain blood oxygen evaluation data, and the physiological index changes are generated based on the three evaluation data in the physiological indexes; For sports performance indicators: Exercise duration: The duration of the exercise is evaluated by the length of time the patient can continue to exercise. Exercise intensity: The exercise intensity is assessed by measuring the patient's metabolic equivalent during exercise to obtain exercise intensity assessment data; Fatigue degree: The fatigue degree after exercise is assessed by using a fatigue assessment scale to obtain fatigue degree assessment data, and the exercise tolerance assessment results are generated based on the three assessment data in the sports performance indicators; For subjective feeling indicators: Degree of dyspnea: The degree of dyspnea felt by the patient during exercise is used to assess the degree of dyspnea and obtain the dyspnea assessment data; Chest pain or discomfort: The patient is asked whether he / she experiences chest pain, chest tightness or discomfort during exercise to obtain chest pain or discomfort assessment data; the patient's subjective feelings are generated based on the two assessment data in the subjective feeling index.

7. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 6, characterized in that: The process of obtaining treatment feedback is as follows: arrange patients to use portable monitoring equipment to measure heart rate, blood pressure and blood oxygen saturation once every two weeks. At the same time, patients record the duration, intensity and subjective feelings of each exercise through paper forms or mobile applications, and conduct exercise tests regularly; in the hospital, medical staff use medical equipment to monitor the patient's physiological indicators, and record the patient's exercise performance and subjective feelings; compare the patient's evaluation data at different time points to observe the changing trend of exercise tolerance; at the same time, analyze the changes in the patient's subjective feeling indicators, and conduct a comprehensive evaluation based on physiological indicators, exercise performance indicators and subjective feeling indicators to obtain treatment feedback; generate an evaluation report on the improvement of exercise tolerance based on treatment feedback; the evaluation report includes the patient's various evaluation indicator data, change trend analysis and suggestions for adjustment of the exercise plan.

8. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 7, characterized in that: The program optimization unit constructs a patient exercise tolerance model based on randomized controlled trial data, predicts the patient's response to different exercise intensities through the model, generates a prediction report, and adjusts the patient's exercise program through the prediction report combined with treatment feedback and the health records of each coronary artery patient to generate an optimal exercise program; The solution optimization unit also introduces a dynamic safety alarm mechanism, which monitors the patient's physiological indicators during exercise. When abnormal physiological indicators are detected, a termination signal and an alarm prompt are generated. The exercise is automatically terminated through the termination signal, and the medical staff is reminded through the alarm prompt. Among them, abnormal physiological indicators include high heart rate and excessive blood pressure fluctuations.

9. The coronary artery patient exercise tolerance treatment management system based on randomized controlled trials according to claim 8, characterized in that: The construction process of exercise tolerance model: Collect randomized controlled trial data of patients with coronary artery disease; including basic information of patients, medical history, medication status, exercise regimen, physiological indicators during exercise, and exercise tolerance assessment results; Select features related to the patient's exercise tolerance from the collected randomized controlled trial data, use correlation analysis and principal component analysis in the feature selection algorithm to obtain feature subsets, and sort the feature subsets according to the degree of influence on exercise tolerance to obtain the feature subset with the greatest influence on exercise tolerance, which is recorded as the patient's characteristics; Patient characteristics include individual characteristics, medical history characteristics, medication characteristics, exercise program characteristics, and physiological index characteristics of the patients; A neural network model was selected, and the collected patient characteristics and randomized controlled trial data were divided into a training set and a test set; the training set was divided into multiple subsets, and one of the subsets was used as a validation set each time, and the remaining subsets were used as training sets to train and validate the neural network model, and this was repeated multiple times. The parameters of the neural network model were adjusted so that the neural network model could learn the relationship between patient characteristics and exercise tolerance, and a trained initial model was obtained; the trained initial model was evaluated using the test set and based on the model evaluation indicators to obtain a model evaluation result, and the model evaluation indicators included mean square error, mean absolute error, and determination coefficient; the model evaluation result was evaluated until it met the model evaluation indicators, and a confirmed exercise tolerance model was obtained.

10. The exercise tolerance treatment management system for coronary artery patients based on randomized controlled trials according to claim 9, characterized in that: Process of generating forecast report: The patient characteristics of the coronary artery patient to be predicted are input into the constructed exercise tolerance model. The exercise tolerance model predicts the patient's response to different exercise intensities based on the input patient characteristics; the prediction results are output and presented in the form of a prediction result vector, in which each element represents the patient's response index value under a specific exercise intensity; the prediction results under different exercise intensities are analyzed and compared, and the exercise intensity suitable for the patient is selected to obtain the analysis results; a prediction report is generated based on the analysis results, and the prediction report should include the patient's basic information, the current exercise plan, the response results under different exercise intensities predicted by the model, and the recommended exercise intensity and adjustment suggestions.

Images