A standardized intelligent training method and system for peritoneal dialysis

Abstract

The present invention relates to the field of medical care informatics technology, and specifically to a standardized intelligent training method and system for peritoneal dialysis. The present invention first obtains the patient's physical function measurement during the training stage based on the time-series changes in the patient's blood creatinine concentration and urea nitrogen concentration during the training stage, as well as the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests; obtains the patient's training acceptance of the items to be analyzed during the training stage based on all training records and assessment results of the patient's items to be analyzed; further obtains the patient's training intensity requirement for the items to be analyzed during the training stage; and finally formulates a training plan for the patient's next training stage. The present invention better meets the patient's personalized needs during the training stage and improves the training effect of the training plan by fully considering the patient's physical function during the training stage and the patient's acceptance of the training project.

Description

Technical Field

[0001] The present invention relates to the technical field of medical care informatics, and in particular to a standardized intelligent training method and system for peritoneal dialysis. Background Art

[0002] Peritoneal dialysis is a renal replacement therapy that is mainly used to help patients with renal failure remove excess water and metabolic waste from the body, thereby maintaining a stable internal environment. Through intelligent training for peritoneal dialysis patients, the patients' knowledge and skills of peritoneal dialysis can be improved, their self-management ability can be enhanced, complications can be reduced, and treatment effects and quality of life can be improved.

[0003] When conducting intelligent training for patients, the existing technology adopts a fixed training intensity for all patients, without fully considering that the patient's physical function and the patient's acceptance of the training program will change with the training stage. As a result, the training intensity is difficult to adapt to the patient's personalized needs at different training stages, and it is difficult to ensure the training effect of the training program. Summary of the invention

[0004] In order to solve the technical problem that the existing technology has a poor effect on the peritoneal dialysis training of patients, the purpose of the present invention is to provide a standardized intelligent training method and system for peritoneal dialysis. The technical solutions adopted are as follows:

[0005] A standardized intelligent training method for peritoneal dialysis, the method comprising:

[0006] Obtaining the patient's test data set and training data set during the training phase; the test data set includes the vital capacity, resting heart rate, blood creatinine concentration and urea nitrogen concentration corresponding to each test; the training data set includes the assessment results and teaching time of each training project, as well as all training records of each training project;

[0007] According to the time-series changes of the patient's blood creatinine concentration and the urea nitrogen concentration during the training stage, and the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests, the patient's physical function measurement during the training stage is obtained; any training project is used as the project to be analyzed, and according to all the patient's training records of the project to be analyzed and the assessment results, the patient's training acceptance of the project to be analyzed during the training stage is obtained; according to the patient's training acceptance of the project to be analyzed during the training stage and the physical function measurement, the patient's training intensity requirement for the project to be analyzed during the training stage is obtained;

[0008] Based on the patient's demand for training intensity of the training program during the training phase, formulate a training plan for the patient's next training phase.

[0009] Furthermore, the method for obtaining the physical function metric includes:

[0010] Acquiring a first functional index of the patient according to the sequential decrease of the blood creatinine concentration and the urea nitrogen concentration of the patient during the training phase;

[0011] Obtain the patient's second functional index based on the overall distribution of the patient's vital capacity and resting heart rate values ​​corresponding to all tests during the training phase;

[0012] The first functional index and the second functional index of the patient are forwardly integrated to obtain the patient's physical function measurement during the training phase.

[0013] Furthermore, the method for obtaining the first functional indicator includes:

[0014] The blood creatinine concentration and the urea nitrogen concentration are respectively used as the concentrations to be analyzed; according to the time sequence, the concentrations to be analyzed corresponding to each detection are counted in sequence, and the difference between each concentration to be analyzed and the next concentration to be analyzed in the time sequence is calculated to obtain the concentration decrease parameter of each concentration to be analyzed; the mean of the concentration decrease parameters of all the concentrations to be analyzed is calculated to obtain the overall decrease parameter of the concentration to be analyzed;

[0015] The mean values ​​of the blood creatinine concentration and the urea nitrogen concentration corresponding to the overall decline parameter are calculated and normalized to obtain the first functional index of the patient.

[0016] Furthermore, the method for obtaining the second functional indicator includes:

[0017] During the training phase, the mean of the vital capacity corresponding to all tests was calculated to obtain the overall value of the patient's vital capacity; the mean of the resting heart rate corresponding to all tests was calculated to obtain the overall value of the patient's resting heart rate;

[0018] The ratio of the overall value of the vital capacity of the patient to the overall value of the resting heart rate is calculated and normalized to obtain the second functional index of the patient.

[0019] Furthermore, the method for obtaining the physical function metric includes:

[0020] The mean of the first functional index and the second functional index of the patient is calculated to obtain the patient's physical function measurement during the training stage.

[0021] Furthermore, the method for obtaining the training acceptance includes:

[0022] Calculate the mean of the training durations of all training records of the patient's item to be analyzed to obtain the single training duration of the patient's item to be analyzed;

[0023] Calculate the cumulative value of the training duration corresponding to all training records of the item to be analyzed of the patient as the total training duration of the item to be analyzed of the patient; calculate the ratio of the total training duration to the teaching duration to obtain the learning repetition of the item to be analyzed of the patient;

[0024] The product of the single training duration, the learning repetition and the assessment score is calculated and normalized to obtain the patient's training acceptance of the item to be analyzed.

[0025] Furthermore, the method for obtaining the training intensity requirement includes:

[0026] The patient's training acceptance for the item to be analyzed, the physical function measurement, and the preset adjustment parameters are forwardly integrated to obtain the patient's training intensity requirement for the item to be analyzed during the training phase.

[0027] Furthermore, the method for formulating a training program for the next training stage of the patient includes:

[0028] According to the patient's demand for the training intensity of the training program during the training phase, the preset training intensity parameters are adjusted to obtain the patient's target training intensity parameters for the next training phase;

[0029] A training plan for the patient's next training phase is formulated according to the patient's target training intensity parameters for the patient's next training phase.

[0030] Furthermore, the method for obtaining the target training intensity parameter includes:

[0031] The product of the patient's training intensity requirement for the training program during the training phase and the preset training intensity parameter is calculated to obtain the patient's target training intensity parameter for the next training phase.

[0032] The present invention proposes a standardized intelligent training system for peritoneal dialysis, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the standardized intelligent training method for peritoneal dialysis are implemented.

[0033] The present invention has the following beneficial effects:

[0034] In order to determine the patient's personalized needs for training intensity, we first analyze the time-series changes in the patient's blood creatinine concentration and urea nitrogen concentration during the training stage, as well as the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests, to obtain the patient's physical function measurement during the training stage. The physical function measurement reflects the patient's overall physical condition. By analyzing all the patient's training records and assessment results of the items to be analyzed, we obtain the patient's training acceptance of the items to be analyzed during the training stage. The training acceptance reflects the patient's acceptance of the knowledge of the items to be analyzed during the training stage. Then, combined with the training acceptance and physical function measurement, we obtain the patient's training intensity demand for the items to be analyzed during the training stage. The training intensity demand can more accurately reflect the patient's personalized needs for the training intensity of the items to be analyzed during the training stage, so as to better ensure the training effect of the patient's training plan for the next training stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A flowchart of a standardized intelligent training method for peritoneal dialysis provided by one embodiment of the present invention;

[0037] Figure 2 A flow chart of a method for measuring body functions provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0038] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the standardized intelligent training method and system for peritoneal dialysis proposed by the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0039] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0040] The specific scheme of a standardized intelligent training method and system for peritoneal dialysis provided by the present invention is described in detail below with reference to the accompanying drawings.

[0041] The embodiment of the present invention provides a standardized intelligent training method and system for peritoneal dialysis. Figure 1 , which shows a flow chart of a standardized intelligent training method for peritoneal dialysis provided by an embodiment of the present invention, the method comprising the following steps:

[0042] Step S1: Obtain the patient's test data set and training data set during the training phase; the test data set includes the vital capacity, resting heart rate, blood creatinine concentration and urea nitrogen concentration corresponding to each test; the training data set includes the assessment results and teaching time of each training project, as well as all training records of each training project.

[0043] In order to ensure the effectiveness of peritoneal dialysis training for patients, it is first necessary to obtain the test data set and training data set of each patient during the training stage to analyze the patient's physical function during the training stage and the patient's acceptance of the training program, so as to better set the patient's training intensity and ensure the effectiveness of peritoneal dialysis training for patients.

[0044] Considering that the patient's physical function will change as the training progresses, the test data set of each patient in the training stage is obtained from the detection system. The specific acquisition includes:

[0045] Considering that human physiological indicators such as vital capacity, resting heart rate, blood creatinine concentration and urea nitrogen concentration can reflect the patient's physical function, during the training stage, the patient is tested a preset number of times. During each test, the patient's vital capacity is measured using a spirometer; the patient's resting heart rate is measured using a heart rate monitor; the patient's blood creatinine concentration and urea nitrogen concentration are measured by blood tests, that is, the vital capacity, resting heart rate, blood creatinine concentration and urea nitrogen concentration corresponding to each test of the patient in the training stage are obtained. The vital capacity, resting heart rate, blood creatinine concentration and urea nitrogen concentration corresponding to each test of the patient in the training stage are counted to obtain the patient's test data set in the training stage. The preset number in the present invention can be set according to the empirical value. In one embodiment of the present invention, it is set to 7, and the implementer can set it according to the implementation requirements.

[0046] Considering that peritoneal dialysis requires patients to complete most of the operation process at home, and any mistakes during the operation may cause serious problems such as infection and insufficient dialysis. Therefore, patients need to receive theoretical knowledge training and practical knowledge training. Theoretical knowledge training is to enable patients to deeply understand the principles of peritoneal dialysis, master the dietary principles that should be followed at different stages, understand the causes, symptoms and preventive measures of various complications, and enhance self-monitoring and prevention awareness; practical knowledge training allows patients to master the operation skills of peritoneal dialysis and ensure the safety and smoothness of the dialysis process. Through the training of patients in both theoretical knowledge and practical knowledge, patients can carry out peritoneal dialysis treatment more scientifically and standardizedly, and improve their self-management ability and treatment effect.

[0047] In the present invention, the patient is provided with online knowledge training in the form of video through an intelligent training system, and the training content includes a theoretical knowledge module and a practical knowledge module. All training items of the theoretical knowledge module include but are not limited to training items on the basics of peritoneal dialysis, dietary guidance, exercise methods, operating procedures, and operating precautions; all training items of the practical module include but are not limited to training items on peritoneal dialysis fluid exchange, outlet dressing change, and catheter cleaning. The intelligent training system will be divided into multiple training stages based on the training content. Each training stage has clear learning objectives and assessment standards to assist patients in gradually mastering the required knowledge and avoid poor learning results due to receiving a large amount of information at one time. Taking into account that patients have different abilities to accept different training programs during the training stage, a set of training data for each patient during the training stage is obtained from the detection system. The specific acquisition includes:

[0048] Patients watch teaching videos through the intelligent training system to learn. For any training project, each time the patient watches the teaching video, it is recorded as the training record of the patient's training project, and the viewing time corresponding to the training record is used as the training time of the training record; the total time that the patient needs to watch all the teaching videos of the training project during the training stage is used as the corresponding teaching time of the patient's training project; after the patient completes the training project of the training stage, he will be assessed, and the assessment score will be used as the corresponding assessment score of the patient's training project. All training records of the patient in each training project during the training stage and the assessment scores of the training project are counted to obtain the training data set of the patient in the training stage.

[0049] It should be noted that, in order to facilitate calculations, all indicator data involved in the calculations in the embodiments of the present invention are subjected to data preprocessing to eliminate the influence of dimensions. The specific means of removing the influence of dimensions are technical means well known to those skilled in the art and are not limited here. In the present invention, data collection is authorized by the user, does not violate relevant laws and regulations, and does not violate public order and good customs. Taking into account that the patient's physical function and acceptance of skills will change over time during the training process, analyzing the patient's data in the training stage can provide more scientific guidance for the next training stage, so as to ensure that the training intensity of the next training stage is more in line with the patient's actual needs and improve the pertinence of the training.

[0050] Step S2: According to the time series changes of the patient's blood creatinine concentration and urea nitrogen concentration during the training stage, and the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests, obtain the patient's physical function measurement during the training stage; take any training project as the project to be analyzed, and obtain the patient's training acceptance of the project to be analyzed during the training stage based on all the patient's training records and assessment results of the project to be analyzed; according to the patient's training acceptance of the project to be analyzed during the training stage and the physical function measurement, obtain the patient's training intensity requirement for the project to be analyzed during the training stage.

[0051] In order to determine the patient's personalized needs for training intensity, we first analyze the time-series changes in the patient's blood creatinine concentration and urea nitrogen concentration during the training phase, as well as the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests, to obtain the patient's physical function measurement during the training phase. The physical function measurement reflects the patient's overall physical condition. By analyzing all the patient's training records and assessment results of the items to be analyzed, we obtain the patient's training acceptance of the analysis items during the training phase. The training acceptance reflects the patient's acceptance of the knowledge of the analysis items during the training phase. Then, combined with the training acceptance and physical function measurement, we obtain the patient's training intensity demand for the analysis items during the training phase. The training intensity demand can more accurately reflect the patient's personalized needs for the training intensity of the analysis items during the training phase.

[0052] Reasonable training intensity is the key to improving training results. In order to reasonably set and adjust the training intensity, it is necessary to understand the patient's physical condition to ensure the safety of the training process and to reflect the patient's physical condition by constructing physical function metrics. Figure 2 , which shows a flow chart of a method for obtaining a body function metric in one embodiment of the present invention. Preferably, in one embodiment of the present invention, the method for obtaining a body function metric includes:

[0053] Step S201: obtaining the first functional index of the patient according to the sequential decrease of the patient's blood creatinine concentration and urea nitrogen concentration during the training phase.

[0054] By monitoring the temporal decrease in serum creatinine and urea nitrogen levels, the first functional index was constructed to evaluate the recovery of renal function in peritoneal dialysis patients during the training phase.

[0055] Preferably, in one embodiment of the present invention, the method for obtaining the first functional indicator includes:

[0056] The blood creatinine concentration and the urea nitrogen concentration are respectively used as the concentrations to be analyzed; according to the time sequence, the concentrations to be analyzed corresponding to each test are counted in sequence, and the difference between each concentration to be analyzed and the next concentration to be analyzed in the time sequence is calculated to obtain the concentration decrease parameter of each concentration to be analyzed; the mean of the concentration decrease parameters of all the concentrations to be analyzed is calculated to obtain the overall decrease parameter of the concentration to be analyzed;

[0057] The mean of the overall decrease parameters corresponding to the blood creatinine concentration and the urea nitrogen concentration is calculated and normalized to obtain the first functional index of the patient. It should be noted that the normalization method is: normalization is performed using the norm normalization function to limit the value range to between 0 and 1. Normalization is a technical means well known to those skilled in the art, and the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0058] For the above steps, the blood creatinine concentration and urea nitrogen concentration are respectively used as the concentrations to be analyzed. Both of these concentrations to be analyzed are important indicators reflecting renal function, among which blood creatinine mainly reflects the waste removal produced by muscle metabolism, while urea nitrogen reflects the waste removal produced by protein metabolism. The difference between each concentration to be analyzed and the next concentration to be analyzed in the time series is calculated to obtain the concentration decrease parameter of each concentration to be analyzed. This difference reflects the degree of reduction of the concentration to be analyzed between two adjacent tests, that is, the direct reflection of the dialysis effect and the improvement of renal function. The mean of the concentration decrease parameters of all concentrations to be analyzed is calculated to obtain the overall decrease parameter of the concentration to be analyzed. This mean reflects the overall decrease trend of blood creatinine and urea nitrogen concentrations throughout the training stage, that is, the overall recovery of renal function. The mean of the overall decrease parameters corresponding to the blood creatinine concentration and urea nitrogen concentration is calculated, and normalized to obtain the patient's first functional index. The higher the first functional index, the better the patient's renal function recovery.

[0059] Step S202: Obtain the second functional index of the patient according to the overall distribution of the vital capacity and resting heart rate values ​​corresponding to all tests of the patient during the training phase.

[0060] Considering that resting heart rate and vital capacity are two key indicators that reflect the functional status of the heart and lungs respectively, by analyzing the overall distribution of vital capacity and resting heart rate values ​​corresponding to all tests of the patient during the training phase, a second functional indicator of the patient is constructed to reflect the patient's physical recovery.

[0061] Preferably, in one embodiment of the present invention, the method for obtaining the second functional indicator includes:

[0062] During the training phase, the mean of the vital capacity corresponding to all tests was calculated to obtain the overall value of the patient's vital capacity; the mean of the resting heart rate corresponding to all tests was calculated to obtain the overall value of the patient's resting heart rate;

[0063] The ratio of the overall value of the patient's vital capacity to the overall value of the resting heart rate is calculated and normalized to obtain the patient's second functional index. It should be noted that the normalization method is: normalization is performed using the norm normalization function to limit the value range to between 0 and 1. Normalization is a technical means well known to those skilled in the art, and the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0064] With respect to the above steps, during the training phase, all detected vital capacity values ​​are averaged to obtain the patient's overall vital capacity value. This mean reflects the average level of the patient's lung function during the entire training phase. Similarly, all detected resting heart rate values ​​are averaged to obtain the patient's overall resting heart rate value. This mean reflects the average state of the patient's heart function during the entire training phase. Considering that the greater the vital capacity and the smaller the resting heart rate, the better the patient's physical strength, the ratio of the patient's overall vital capacity value to the overall resting heart rate value is calculated and normalized to obtain the patient's second functional index. The higher the second functional index, the better the patient's physical strength.

[0065] Step S203: forwardly fuse the first functional index and the second functional index of the patient to obtain the patient's physical function measurement during the training phase.

[0066] Constructing physical function metrics comprehensively reflects the patient's overall physical function status.

[0067] It should be noted that forward fusion is an existing technology well known to those skilled in the art, and forward fusion can adopt simple product, arithmetic mean or other suitable fusion methods. In one embodiment of the present invention, the method for obtaining the physical function metric includes: calculating the mean of the first functional index and the second functional index of the patient to obtain the physical function metric of the patient in the training stage.

[0068] With respect to the above steps, the first functional index mainly reflects the recovery of renal function, the second functional index comprehensively evaluates the cardiopulmonary function status, and the first functional index and the second functional index of the patient are combined to obtain the patient's physical function measurement during the training stage. The higher the physical function measurement, the better the patient's overall physical function status during the training stage.

[0069] Reasonable training intensity is the key to improving training effect. In order to reasonably set and adjust the training intensity, considering that different patients have different understanding and acceptance of training projects, any training project is used as a project to be analyzed. It is necessary to understand the patient's understanding and acceptance of the project to be analyzed, and reflect the patient's understanding and acceptance of the project to be analyzed by constructing training acceptance. Preferably, in one embodiment of the present invention, the method for obtaining training acceptance includes:

[0070] Calculate the mean of the training durations of all training records of the patient's item to be analyzed, and obtain the single training duration of the patient's item to be analyzed;

[0071] Calculate the cumulative value of the training time corresponding to all training records of the patient's item to be analyzed as the total training time of the patient's item to be analyzed; calculate the ratio of the total training time to the teaching time to obtain the learning repetition of the patient's item to be analyzed;

[0072] The product of the single training duration, learning repetition and assessment score is calculated and normalized to obtain the patient's training acceptance of the item to be analyzed. It should be noted that the normalization method is: normalization is performed using the norm normalization function to limit the numerical range to between 0 and 1. Normalization is a technical means well known to those skilled in the art, and the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0073] According to the above steps, the mean of the training duration corresponding to all training records of the patient's items to be analyzed is calculated, and this mean represents the single training duration of the patient. The single training duration can directly reflect the average time invested by the patient in a single learning process, and indirectly measure the depth of his initial understanding of the training content. The teaching duration is the length of the teaching content itself, which reflects the total amount of content that the patient needs to learn. The ratio of the total training duration to the teaching duration is calculated, and this ratio represents the patient's learning repetition. Learning repetition can reflect the degree of repeated learning of the patient in the learning process, that is, whether the patient has reviewed and reviewed the learned content many times. A higher learning repetition may mean that the patient has a higher degree of mastery of the learned content. The assessment score directly reflects the patient's mastery of the items to be analyzed. The product of the single training duration, learning repetition and assessment score is calculated and normalized to obtain the patient's training acceptance of the items to be analyzed. The greater the training acceptance, the stronger the patient's ability to understand and accept the training project, which provides a scientific basis for formulating a more personalized training plan.

[0074] In order to more accurately analyze the patient's personalized needs for the training intensity of the items to be analyzed during the training phase, preferably, in one embodiment of the present invention, the method for obtaining the training intensity requirement includes:

[0075] The patient's training acceptance, physical function measurement and preset adjustment parameters for the items to be analyzed are forward fused to obtain the patient's training intensity requirement for the items to be analyzed during the training stage. It should be noted that forward fusion is a prior art well known to those skilled in the art, and forward fusion can adopt simple product, arithmetic mean or other suitable fusion methods. In one embodiment of the present invention, the mean of the patient's training acceptance and physical function measurement for the items to be analyzed is calculated, and the product of the mean and the preset adjustment parameters is calculated to obtain the patient's training intensity requirement for the items to be analyzed during the training stage. In one embodiment of the present invention, the preset adjustment parameters are determined based on experience, and are set to 1.13 in the present invention. The implementer can set them according to the implementation scenario.

[0076] For the above steps, in order to more accurately meet the patient's personalized intensity requirements for specific training projects during the training stage, it is necessary to fully consider that the patient's physical function and the patient's acceptance of the training project will change with the training stage. The present invention uses training acceptance to measure the patient's understanding and mastery of the training content, and the physical function measurement measures the patient's physical health status. The two together constitute the basis for evaluating the training intensity requirements. Calculate the mean of the patient's training acceptance and physical function measurement for the analyzed project, calculate the product of the mean and the preset adjustment parameter, and obtain the patient's training intensity requirement for the analyzed project during the training stage. The greater the training intensity requirement, it means that the patient's physical function state is good and the acceptance of the training project is also strong. Therefore, the training intensity can be appropriately increased to enhance the training effect. On the contrary, the training intensity should be appropriately reduced to avoid frustration in patients due to excessive physical burden or difficulty in understanding.

[0077] Step S3: Formulate a training plan for the next training stage of the patient based on the patient's demand for the training intensity of the training program during the training stage.

[0078] The training intensity requirement can more accurately reflect the patient's personalized needs for the training intensity of the analysis project during the training stage, so as to better ensure the training effect of the patient's training plan in the next training stage.

[0079] In order to ensure the training effect of the training program, preferably, in one embodiment of the present invention, the method for formulating the training program for the next training stage of the patient includes:

[0080] According to the patient's demand for the training intensity of the training program during the training phase, the preset training intensity parameters are adjusted to obtain the patient's target training intensity parameters for the next training phase;

[0081] A training plan for the patient's next training phase is formulated according to the patient's target training intensity parameters for the patient's next training phase.

[0082] Specifically, the product of the patient's training intensity requirement for the training project in the training stage and the preset training intensity parameter is calculated to obtain the patient's target training intensity parameter for the next training stage; if the target training intensity parameter is greater than the preset division threshold, the patient's training program for the next training stage adopts a high-intensity training program; if the target training intensity parameter is not greater than the preset division threshold, the patient's training program for the next training stage adopts a low-intensity training program. In one embodiment of the present invention, the preset training intensity parameter is 1.65, and the preset division threshold is 0.97, which can be set by the implementer according to the implementation scenario.

[0083] For the above steps, the product of the patient's training intensity demand for the training project in the current training stage and the preset training intensity parameter is calculated to obtain the patient's target training intensity parameter for the next training stage. Here, the preset training intensity parameter is used as a reference value to preliminarily determine the patient's training intensity range. The target training intensity parameter comprehensively reflects the patient's physical function state, the acceptance of the training content, and the preset training intensity benchmark. Next, the target training intensity parameter is compared with the preset division threshold. In this embodiment, the preset division threshold is set to 0.97, and the implementer can also flexibly adjust it according to actual conditions. If the target training intensity parameter is greater than the preset division threshold, it means that the patient's current physical condition is good and the acceptance of the training content is strong, so the training program for the next stage should adopt a high-intensity training program. The high-intensity program aims to further improve the patient's skill level or health status, which may include increasing the training time, increasing the difficulty of training, etc. If the target training intensity parameter is not greater than the preset division threshold, it means that the patient may need more time to adapt to the current training intensity, or his physical function state has restrictions on high-intensity training. Therefore, the training program for the next stage should adopt a low-intensity training program. Low-intensity programs focus on gradually improving the patient's abilities and may include reducing the duration of training, reducing the difficulty of training, and providing additional support and coaching.

[0084] The present invention provides a standardized intelligent training system for peritoneal dialysis, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, steps of a standardized intelligent training method for peritoneal dialysis are implemented.

[0085] In summary, the embodiments of the present invention provide a standardized intelligent training method and system for peritoneal dialysis. First, according to the time series changes of the patient's blood creatinine concentration and urea nitrogen concentration during the training stage, and the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests, the patient's physical function measurement during the training stage is obtained; according to all the training records and assessment results of the patient's items to be analyzed, the patient's training acceptance for the items to be analyzed during the training stage is obtained; further, the patient's training intensity requirement for the items to be analyzed during the training stage is obtained; and finally, a training plan for the patient's next training stage is formulated. The present invention better meets the patient's personalized needs during the training stage and improves the training effect of the training plan by fully considering the patient's physical function during the training stage and the patient's acceptance of the training project.

[0086] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0087] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A standardized intelligent training method for peritoneal dialysis, characterized in that: The method comprises: Obtaining the patient's test data set and training data set during the training phase; the test data set includes the vital capacity, resting heart rate, blood creatinine concentration and urea nitrogen concentration corresponding to each test; the training data set includes the assessment results and teaching time of each training project, as well as all training records of each training project; According to the time-series changes of the patient's blood creatinine concentration and the urea nitrogen concentration during the training stage, and the overall distribution of the values ​​of vital capacity and resting heart rate corresponding to all tests, the patient's physical function measurement during the training stage is obtained; any training project is used as the project to be analyzed, and according to all the patient's training records of the project to be analyzed and the assessment results, the patient's training acceptance of the project to be analyzed during the training stage is obtained; according to the patient's training acceptance of the project to be analyzed during the training stage and the physical function measurement, the patient's training intensity requirement for the project to be analyzed during the training stage is obtained; Develop a training plan for the next training phase for the patient based on the patient's training intensity requirements for the training program during the training phase; The method for obtaining the physical function metric includes: Acquiring a first functional index of the patient according to the sequential decrease of the blood creatinine concentration and the urea nitrogen concentration of the patient during the training phase; Obtain the patient's second functional index based on the overall distribution of the patient's vital capacity and resting heart rate values ​​corresponding to all tests during the training phase; forwardly fusing the first functional index and the second functional index of the patient to obtain a physical function measurement of the patient during the training phase; The method for obtaining the training acceptance includes: Calculate the mean of the training durations of all training records of the patient's item to be analyzed to obtain the single training duration of the patient's item to be analyzed; Calculate the cumulative value of the training duration corresponding to all training records of the item to be analyzed of the patient as the total training duration of the item to be analyzed of the patient; calculate the ratio of the total training duration to the teaching duration to obtain the learning repetition of the item to be analyzed of the patient; The product of the single training duration, the learning repetition and the assessment score is calculated and normalized to obtain the patient's training acceptance of the item to be analyzed.

2. A standardized intelligent training method for peritoneal dialysis according to claim 1, characterized in that: The method for obtaining the first functional indicator includes: The blood creatinine concentration and the urea nitrogen concentration are respectively used as the concentrations to be analyzed; according to the time sequence, the concentrations to be analyzed corresponding to each detection are counted in sequence, and the difference between each concentration to be analyzed and the next concentration to be analyzed in the time sequence is calculated to obtain the concentration decrease parameter of each concentration to be analyzed; the mean of the concentration decrease parameters of all the concentrations to be analyzed is calculated to obtain the overall decrease parameter of the concentration to be analyzed; The mean values ​​of the blood creatinine concentration and the urea nitrogen concentration corresponding to the overall decline parameter are calculated and normalized to obtain the first functional index of the patient.

3. According to claim 1, a standardized intelligent training method for peritoneal dialysis, characterized in that: The method for obtaining the second functional indicator includes: During the training phase, the mean of the vital capacity corresponding to all tests was calculated to obtain the overall value of the patient's vital capacity; the mean of the resting heart rate corresponding to all tests was calculated to obtain the overall value of the patient's resting heart rate; The ratio of the overall value of the vital capacity of the patient to the overall value of the resting heart rate is calculated and normalized to obtain the second functional index of the patient.

4. A standardized intelligent training method for peritoneal dialysis according to claim 1, characterized in that: The method for obtaining the physical function metric includes: The mean of the first functional index and the second functional index of the patient is calculated to obtain the patient's physical function measurement during the training stage.

5. A standardized intelligent training method for peritoneal dialysis according to claim 1, characterized in that: The method for obtaining the training intensity requirement includes: The patient's training acceptance for the item to be analyzed, the physical function measurement, and the preset adjustment parameters are forwardly integrated to obtain the patient's training intensity requirement for the item to be analyzed during the training phase.

6. A standardized intelligent training method for peritoneal dialysis according to claim 1, characterized in that: The method for formulating a training program for the next training stage of the patient comprises: According to the patient's demand for the training intensity of the training program during the training phase, the preset training intensity parameters are adjusted to obtain the patient's target training intensity parameters for the next training phase; A training plan for the patient's next training phase is formulated according to the patient's target training intensity parameters for the patient's next training phase.

7. A standardized intelligent training method for peritoneal dialysis according to claim 6, characterized in that: The method for obtaining the target training intensity parameter includes: The product of the patient's training intensity requirement for the training program during the training phase and the preset training intensity parameter is calculated to obtain the patient's target training intensity parameter for the next training phase.

8. A standardized intelligent training system for peritoneal dialysis, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the standardized intelligent training method for peritoneal dialysis as claimed in any one of claims 1 to 7 are implemented.

Images