Supervision method and system based on hypertensive patient data

Abstract

The invention discloses a hypertensive patient data supervision method and system, and relates to the technical field of data supervision, and the method comprises the steps: 1, hypertensive patient data monitoring, 2, patient environment correlation analysis, 3, patient blood pressure reduction effect analysis, and 4, hospital data analysis and processing. By analyzing the actual data of the hypertensive patient during hospital detection, the target monitoring time interval of the ambulatory blood pressure monitor worn by the hypertensive patient is adjusted, so that the data credibility of the hypertensive patient is improved, wrong assessment of the illness state of the hypertensive patient is reduced, and the accuracy of the hypertensive patient is improved. By intelligently calculating the regulating amount of the antihypertensive drug and the next hypertension detection time point of the hypertensive patient, the dependence on diagnosis of doctors is reduced, the duration of queuing for waiting for the doctors is shortened, the hypertensive patient can quickly take the drug only by confirming on the terminal by the doctors, and thus the physical and psychological health of the hypertensive patient is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a method and system for monitoring data of patients with hypertension. Background Art

[0002] Patients with hypertension often do not need to be hospitalized. Generally, the attending physician will arrange for the patient to wear an ambulatory blood pressure monitor to monitor blood pressure in normal life for a period of time for long-term treatment. However, the large number of patients makes it difficult for them to return for follow-up visits and get medication in time after using the ambulatory blood pressure monitor, which reduces the patient's physical and mental health. Therefore, it is very necessary to conduct intelligent data supervision and analysis on hypertensive patients using ambulatory blood pressure monitors.

[0003] The prior art, such as the invention patent application with announcement number: CN113470773A, discloses a hypertension assessment management system based on big data, which includes: residents, community hospitals and secondary hospital doctors, tertiary hospital doctors, and health authority management. The system proposed by this invention can reduce the manpower, material and financial resources of chronic disease management and optimize the utilization of health resources.

[0004] Prior art, such as the invention patent application with announcement number: CN116211316A, discloses a method, system and auxiliary system for identifying the type of multi-lead ECG signals. The method includes: first, obtaining multi-lead ECG signals and patient characteristic information and ECG signal type labels associated with some of the multi-lead ECG signals through a data acquisition module, and then sequentially inputting the data preprocessing module and the data set division module to complete data preprocessing and data set division respectively, and then training and storing the ECG self-supervision model through the model generation module, and finally, when the service calculation module receives a request for type identification of the ECG signal, the trained ECG self-supervision model is automatically called. This application method and system can obtain a type identification model for multi-lead ECG signals based on less labeled data training, while improving the accuracy of model identification.

[0005] It can be seen from the above scheme that the current data supervision and analysis methods for hypertensive patients lack a certain amount of attention to adjusting the monitoring interval of the dynamic blood pressure monitor according to the patient's actual condition. The existing method of using the dynamic blood pressure monitor often monitors according to the default monitoring time. If the monitoring interval of the dynamic blood pressure monitor is not adjusted, it is easy to reduce the credibility of the data of the hypertensive patient, thereby making an incorrect assessment of the condition of the hypertensive patient. At the same time, there is a lack of attention to the intelligent analysis of the data collected by the dynamic blood pressure monitor to obtain the antihypertensive drug adjustment amount and the next hypertension detection time point for the hypertensive patient. The data of the dynamic blood pressure monitor often needs to rely on the doctor for diagnosis, so as to prescribe the medicine and notify the next hypertension detection time point. Due to the large number of patients, it is sometimes difficult for doctors to diagnose all patients on the same day, resulting in some patients unable to prescribe medicine and adjust the dosage in time, thereby reducing the physical and mental health of hypertensive patients. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system based on hypertension patient data supervision, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides a method for supervising data of patients with hypertension, including: Step 1. Data monitoring of patients with hypertension: After the patient is diagnosed with hypertension in the hospital and takes antihypertensive drugs for a period of time, he comes to the hospital for examination again to obtain the systolic blood pressure, diastolic blood pressure, heart rate and age of the patient tested in the hospital this time, analyze the target monitoring time interval of the patient's dynamic blood pressure monitor, and thus obtain the monitoring time points of the patient's dynamic blood pressure monitor. The patient wears the dynamic blood pressure monitor, and the monitoring time interval of the dynamic blood pressure monitor is set as the target monitoring time interval, and the patient's blood pressure is monitored in normal life.

[0008] Step 2. Patient environment-related analysis: After the patient returns to the hospital and re-hands in the dynamic blood pressure monitor, the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood glucose characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point are automatically obtained, and the patient's allowable blood pressure increase value at each monitoring time point is analyzed, and the patient's blood pressure threat coefficient in normal life is analyzed.

[0009] Step 3. Analysis of the antihypertensive effect on patients: Evaluate the blood pressure optimization coefficient of the patient in normal life after the last hypertension examination.

[0010] Step 4. Hospital data analysis and processing: Analyze the patient's blood pressure recovery coefficient, calculate the dosage adjustment value of the patient's antihypertensive drug, and evaluate the time point of the patient's next use of the dynamic blood pressure monitor. The dosage adjustment value of the patient's antihypertensive drug and the time point of the next use of the dynamic blood pressure monitor are sent to the patient's attending physician and medication collection point. After obtaining the attending physician's consent, the patient is allowed to pick up the medicine at the medication collection point.

[0011] Preferably, the target monitoring time interval of the dynamic blood pressure monitor of the patient is analyzed, and the specific calculation method is: based on the systolic blood pressure, diastolic blood pressure and heart rate values ​​of the patient tested in the hospital, the high-risk blood pressure coefficient of the patient tested in the hospital is calculated.

[0012] The target monitoring time interval corresponding to each high-risk blood pressure coefficient interval is obtained from the local database, and the target monitoring time interval of the patient's dynamic blood pressure monitor is mapped.

[0013] Preferably, the specific calculation method for calculating the high-risk blood pressure coefficient of the patient detected in the hospital is: obtaining the suitable systolic blood pressure interval, the suitable diastolic blood pressure interval and the suitable heart rate interval corresponding to each age group from the local database, and extracting the maximum value of the suitable systolic blood pressure interval, the maximum value of the suitable diastolic blood pressure interval and the maximum value of the suitable heart rate interval corresponding to each age group, and mapping the maximum value a of the suitable systolic blood pressure interval, the maximum value b of the suitable diastolic blood pressure interval and the maximum value c of the suitable heart rate interval to obtain the patient's age detected in the hospital.

[0014] Calculate the high-risk blood pressure coefficient of the patient tested in the hospital based on the systolic blood pressure A, diastolic blood pressure B, and heart rate value C Where e represents a natural constant.

[0015] Preferably, the analysis of the allowable blood pressure increase value of the patient at each monitoring time point is specifically performed by obtaining the appropriate blood sugar characteristic value interval corresponding to each age group from the local database, and extracting the maximum value of the appropriate blood sugar characteristic value interval corresponding to each age group, and mapping the maximum value f of the patient's appropriate blood sugar characteristic value interval based on the patient's age tested in the hospital.

[0016] According to the patient's blood glucose characteristic value F at each monitoring time point x , where x represents the number of each monitoring time point, x = 1, 2, ..., y, y is a positive integer greater than 2, and the patient's blood sugar and blood pressure deviation coefficient at each monitoring time point is calculated Obtain the blood sugar allowable increase value corresponding to each blood sugar allowable blood pressure deviation coefficient from the local database, and map the patient's blood sugar allowable blood pressure increase value g at each monitoring time point. x .

[0017] Similarly, the patient's heart rate allowed blood pressure increase value l at each monitoring time point is obtained.x 、Ambient temperature allows blood pressure increase value h x 、Ambient humidity allows blood pressure increase value k x .

[0018] Analyze the patients' allowable blood pressure increase value ε at each monitoring time point x =g x +h x +k x +l x .

[0019] Preferably, the specific analysis method for analyzing the patient's blood pressure threat coefficient in normal life is: obtaining the maximum allowable electromagnetic field strength value Q of the dynamic blood pressure monitor worn by the patient from a local database.

[0020] According to the electromagnetic field strength value q of the patient at each monitoring time point x , calculate the electromagnetic field deviation hazard coefficient of the patient at each monitoring time point

[0021] Obtain the electromagnetic field hazard adjustment value corresponding to each electromagnetic field deviation hazard coefficient interval from the local database, and map the electromagnetic field hazard adjustment value Y of the patient at each monitoring time point x .

[0022] According to the patient's systolic blood pressure at each monitoring time point x , diastolic blood pressure x and the allowable blood pressure increase ε x , and based on the maximum value a of the patient's appropriate systolic blood pressure range and the maximum value b of the appropriate diastolic blood pressure range, calculate the hazard coefficient of the patient's blood pressure exceeding the appropriate range in normal life

[0023]

[0024] Calculate the hazard coefficient of blood pressure fluctuations in patients' normal life

[0025]

[0026] The blood pressure threat coefficient adjustment parameter value corresponding to each blood pressure fluctuation hazard coefficient interval is obtained from the local database, and the blood pressure threat coefficient adjustment parameter value D of the patient in normal life is mapped.

[0027] Analyze the patient's blood pressure threat factor in normal life

[0028] Preferably, the specific calculation method of evaluating the patient's blood pressure optimization coefficient in normal life after the last hypertension examination is: obtaining the patient's systolic blood pressure E, diastolic blood pressure F and heart rate value G, and blood pressure high risk coefficient T at the time of the last hypertension examination from the local database.

[0029] According to the patient's systolic blood pressure at each monitoring time point x , diastolic blood pressure x and heart rate value p x , to assess the patient's blood pressure optimization factor in normal life since the last hypertension examination

[0030]

[0031] Preferably, the blood pressure recovery coefficient of the patient is analyzed by: according to the blood pressure optimization coefficient λ of the patient in normal life after the last hypertension examination and the blood pressure threat coefficient in normal life Analyze the patient's blood pressure recovery coefficient

[0032] Preferably, the specific calculation method for calculating the dosage adjustment value of the patient's antihypertensive drug is as follows: obtaining the patient's antihypertensive drug dosage H after being diagnosed with hypertension and the dosage adjustment value of each blood pressure recovery coefficient interval from a local database, and mapping the patient's dosage adjustment value J based on the patient's blood pressure recovery coefficient.

[0033] Calculate the patient's antihypertensive drug dosage adjustment value K=H+J.

[0034] Preferably, the specific evaluation method for evaluating the time point of the patient's next use of the ambulatory blood pressure monitor is as follows: obtaining the target duration of the next hypertension examination corresponding to each blood pressure recovery coefficient interval from the local database, mapping the target duration of the patient's next ambulatory blood pressure monitor, and combining the time point when the patient currently hands in the ambulatory blood pressure monitor, adding the time point when the patient currently hands in the ambulatory blood pressure monitor to the target duration of the next ambulatory blood pressure monitor, and calculating the patient's next use time of the ambulatory blood pressure monitor.

[0035] The second aspect of the present invention provides a data supervision system based on the method for supervising data of patients with hypertension, including: a data monitoring module for patients with hypertension, which is used for patients who are diagnosed with hypertension in the hospital and take antihypertensive drugs for a period of time, and then come to the hospital for examination again, to obtain the systolic blood pressure, diastolic blood pressure, heart rate and age of the patients tested in the hospital this time, and analyze the target monitoring time interval of the patient's dynamic blood pressure monitor, so as to obtain the various monitoring time points of the patient's dynamic blood pressure monitor, the patient wears the dynamic blood pressure monitor, and sets the monitoring time interval of the worn dynamic blood pressure monitor as the target monitoring time interval, and monitors the patient's blood pressure in normal life.

[0036] The patient environment-related analysis module is used to automatically obtain the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood sugar characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point after the patient returns to the hospital and re-hands in the dynamic blood pressure monitor, analyze the patient's allowable blood pressure increase value at each monitoring time point, and analyze the patient's blood pressure threat coefficient in normal life.

[0037] The patient antihypertensive effect analysis module is used to evaluate the patient's blood pressure optimization coefficient in normal life after the last hypertension examination.

[0038] The hospital data analysis and processing module is used to analyze the patient's blood pressure recovery coefficient, calculate the dosage adjustment value of the patient's antihypertensive drug, and evaluate the time point of the patient's next use of the dynamic blood pressure monitor. The dosage adjustment value of the patient's antihypertensive drug and the time point of the next use of the dynamic blood pressure monitor are sent to the patient's attending physician and the medication collection point. After obtaining the consent of the attending physician, the patient is allowed to pick up the medicine at the medication collection point.

[0039] The beneficial effects of the present invention are as follows: (1) Step 1 of the present invention monitors the data of hypertensive patients. By analyzing the actual data of hypertensive patients during hospital examinations, the target monitoring time interval of the dynamic blood pressure monitor worn by the hypertensive patients can be adjusted, thereby improving the credibility of the data of the hypertensive patients and reducing the incidence of misassessment of the condition of the hypertensive patients.

[0040] (2) Step 2 of the present invention. Patient environment related analysis. By analyzing the impact of the patient's heart rate value, blood sugar characteristic value, electromagnetic intensity value, ambient temperature value and ambient humidity value at each monitoring time point on the hypertensive patient, the blood pressure changes of the hypertensive patient in normal life and the harm of blood pressure to the human body are calculated. In normal life, the blood pressure may rise temporarily due to the patient's diet and external environment changes. If the dynamic blood pressure monitor is tested at this time, the data of hypertension will be obtained, which will affect the subsequent analysis. Therefore, it is necessary to perform a certain amount of deviation calculation on the data of these external factors affecting the patient's blood pressure, so as to improve the credibility of the data. In normal life, a large amount of electromagnetic field interference will occur. Although the dynamic blood pressure monitor has a certain ability to resist electromagnetic interference when it is designed, the external magnetic field may be too large, resulting in inaccurate data in the dynamic blood pressure monitor. Therefore, certain adjustments are made to facilitate subsequent processing.

[0041] (3) Step 3 of the present invention: analyzing the antihypertensive effect of patients, by analyzing the blood pressure data after taking the antihypertensive drug this time and the blood pressure data of the last test, the blood pressure optimization coefficient of the hypertensive patient is evaluated to facilitate subsequent processing.

[0042] (4) Step 4 of the present invention. Hospital data analysis and processing. By analyzing the obtained data, the amount of antihypertensive drugs to be adjusted and the time point of the next hypertension test for hypertensive patients can be intelligently calculated, thereby reducing the dependence on doctors' diagnosis and reducing the length of time waiting in line for doctors. Only the doctor needs to confirm on the terminal, so that hypertensive patients can quickly get their medicines and quickly confirm the time point of the next hypertension test, thereby improving the physical and mental health of hypertensive patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be 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.

[0044] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0045] Figure 2 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] Reference Figure 1 As shown, the first aspect of the present invention provides a method based on data supervision of hypertension patients, including: Step 1. Hypertension patient data monitoring: After the patient is diagnosed with hypertension in the hospital and takes antihypertensive drugs for a period of time, he comes to the hospital for examination again, and the systolic blood pressure, diastolic blood pressure, heart rate and age of the patient tested in the hospital are obtained, and the target monitoring time interval of the patient's dynamic blood pressure monitor is analyzed to obtain the various monitoring time points of the patient's dynamic blood pressure monitor. The patient wears the dynamic blood pressure monitor, and the monitoring time interval of the dynamic blood pressure monitor is set as the target monitoring time interval, and the patient's blood pressure is monitored in normal life.

[0048] In a specific embodiment, the systolic blood pressure, diastolic blood pressure, heart rate and age of the patient detected in the hospital are obtained by using the hospital's electronic blood pressure monitor to obtain the systolic blood pressure, diastolic blood pressure and heart rate of the patient detected in the hospital, and the age of the patient detected in the hospital is obtained through the hospital's patient data management platform.

[0049] In a specific embodiment, the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood sugar characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point are obtained by the following specific acquisition method: the patient's systolic blood pressure, diastolic blood pressure and heart rate values ​​at each monitoring time point are obtained through an ambulatory blood pressure monitor, the patient's blood sugar characteristic value at each monitoring time point is obtained through a blood glucose meter built into the ambulatory blood pressure monitor, the patient's ambient temperature value and ambient humidity value at each monitoring time point are obtained through a temperature sensor and humidity sensor external to the ambulatory blood pressure monitor, and the patient's electromagnetic field strength value at each monitoring time point is obtained through an electromagnetic field strength detector built into the ambulatory blood pressure monitor.

[0050] It should be noted that after the patient wears the dynamic blood pressure monitor, the dynamic blood pressure monitor cannot be removed.

[0051] In a specific embodiment of the present invention, the target monitoring time interval of the dynamic blood pressure monitor of the patient is analyzed, and the specific calculation method is: based on the systolic blood pressure, diastolic blood pressure and heart rate values ​​tested by the patient in the hospital, the high-risk blood pressure coefficient of the patient tested in the hospital is calculated.

[0052] The target monitoring time interval corresponding to each high-risk blood pressure coefficient interval is obtained from the local database, and the target monitoring time interval of the patient's dynamic blood pressure monitor is mapped.

[0053] It should be noted that the local database is used to store the target monitoring time interval corresponding to each high-risk blood pressure coefficient interval, the suitable systolic blood pressure interval, the suitable diastolic blood pressure interval and the suitable heart rate interval corresponding to each age group, the suitable blood sugar characteristic value interval corresponding to each age group, the allowable blood sugar increase value corresponding to each allowable blood sugar blood pressure deviation coefficient, the maximum allowable electromagnetic field strength value of the dynamic blood pressure monitor worn by the patient, the electromagnetic field hazard adjustment value corresponding to each electromagnetic field deviation hazard coefficient interval, the blood pressure threat coefficient adjustment value corresponding to each blood pressure fluctuation hazard coefficient interval, the patient's systolic blood pressure, diastolic blood pressure and heart rate values ​​at the time of the last hypertension examination, the high-risk blood pressure coefficient, the dosage of antihypertensive drugs used by the patient after the diagnosis of hypertension, the dosage adjustment value of each blood pressure recovery coefficient interval, and the target duration of the next hypertension examination corresponding to each blood pressure recovery coefficient interval.

[0054] In a specific embodiment of the present invention, the high-risk blood pressure coefficient of the patient detected in the hospital is calculated by the following specific calculation method: obtaining the suitable systolic blood pressure interval, the suitable diastolic blood pressure interval and the suitable heart rate interval corresponding to each age group from the local database, and extracting the maximum value of the suitable systolic blood pressure interval, the maximum value of the suitable diastolic blood pressure interval and the maximum value of the suitable heart rate interval corresponding to each age group, and mapping the maximum value a of the suitable systolic blood pressure interval, the maximum value b of the suitable diastolic blood pressure interval and the maximum value c of the suitable heart rate interval to obtain the patient's age detected in the hospital.

[0055] Calculate the high-risk blood pressure coefficient of the patient tested in the hospital based on the systolic blood pressure A, diastolic blood pressure B, and heart rate value C Where e represents a natural constant.

[0056] In a specific embodiment, the method for obtaining the various monitoring time points of the patient's ambulatory blood pressure monitor is as follows: after the patient wears the ambulatory blood pressure monitor, the patient's blood pressure is monitored once every target monitoring time interval of the patient's ambulatory blood pressure monitor until the patient hands over the ambulatory blood pressure monitor, thereby obtaining the various monitoring time points of the patient's ambulatory blood pressure monitor.

[0057] Step 1 of the present invention is to monitor the data of hypertensive patients. By analyzing the actual data of hypertensive patients during hospital examinations, the target monitoring time interval of the dynamic blood pressure monitor worn by the hypertensive patients can be adjusted, the data credibility of the hypertensive patients can be improved, and the incidence of misassessment of the condition of the hypertensive patients can be reduced.

[0058] Step 2. Patient environment-related analysis: After the patient returns to the hospital and re-hands in the dynamic blood pressure monitor, the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood glucose characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point are automatically obtained, and the patient's allowable blood pressure increase value at each monitoring time point is analyzed, and the patient's blood pressure threat coefficient in normal life is analyzed.

[0059] In a specific embodiment of the present invention, the analysis of the allowable blood pressure increase value of the patient at each monitoring time point is performed by obtaining the appropriate blood sugar characteristic value interval corresponding to each age group from a local database, and extracting the maximum value of the appropriate blood sugar characteristic value interval corresponding to each age group, and mapping the maximum value f of the patient's appropriate blood sugar characteristic value interval based on the patient's age tested in the hospital.

[0060] According to the patient's blood glucose characteristic value F at each monitoring time point x , where x represents the number of each monitoring time point, x = 1, 2, ..., y, y is a positive integer greater than 2, and the patient's blood sugar and blood pressure deviation coefficient at each monitoring time point is calculated Obtain the blood sugar allowable increase value corresponding to each blood sugar allowable blood pressure deviation coefficient from the local database, and map the patient's blood sugar allowable blood pressure increase value g at each monitoring time point. x .

[0061] Similarly, the patient's heart rate allowed blood pressure increase value l at each monitoring time point is obtained. x 、Ambient temperature allows blood pressure increase value h x 、Ambient humidity allows blood pressure increase value k x .

[0062] Analyze the patients' allowable blood pressure increase value ε at each monitoring time point x =g x +h x +k x +l x .

[0063] In a specific embodiment of the present invention, the blood pressure threat coefficient of the patient in normal life is analyzed by a specific analysis method as follows: a maximum allowable electromagnetic field strength value Q of the dynamic blood pressure monitor worn by the patient is obtained from a local database.

[0064] According to the electromagnetic field strength value q of the patient at each monitoring time point x , calculate the electromagnetic field deviation hazard coefficient of the patient at each monitoring time point

[0065] Obtain the electromagnetic field hazard adjustment value corresponding to each electromagnetic field deviation hazard coefficient interval from the local database, and map the electromagnetic field hazard adjustment value Y of the patient at each monitoring time point x .

[0066] According to the patient's systolic blood pressure at each monitoring time point x , diastolic blood pressure x and the allowable blood pressure increase ε x , and based on the maximum value a of the patient's appropriate systolic blood pressure range and the maximum value b of the appropriate diastolic blood pressure range, calculate the hazard coefficient of the patient's blood pressure exceeding the appropriate range in normal life

[0067]

[0068] Calculate the hazard coefficient of blood pressure fluctuations in patients' normal life

[0069]

[0070] The blood pressure threat coefficient adjustment parameter value corresponding to each blood pressure fluctuation hazard coefficient interval is obtained from the local database, and the blood pressure threat coefficient adjustment parameter value D of the patient in normal life is mapped.

[0071] Analyze the patient's blood pressure threat factor in normal life

[0072] Step 2 of the present invention is patient-environment related analysis. By analyzing the impact of the patient's heart rate value, blood sugar characteristic value, electromagnetic intensity value, ambient temperature value and ambient humidity value at each monitoring time point on the hypertensive patient, the blood pressure changes of the hypertensive patient in normal life and the harm of blood pressure to the human body are calculated. In normal life, the blood pressure may rise temporarily due to the patient's diet and external environment changes. If the dynamic blood pressure monitor is tested at this time, the data of hypertension will be obtained, which will affect the subsequent analysis. Therefore, it is necessary to perform a certain amount of deviation calculation on the data of these external factors that affect the patient's blood pressure, so as to improve the credibility of the data. In normal life, a large amount of electromagnetic field interference will appear. Although the dynamic blood pressure monitor has a certain anti-electromagnetic interference ability when it is designed, the external magnetic field may be too large, resulting in inaccurate data in the dynamic blood pressure monitor. Therefore, certain adjustments are made to facilitate subsequent processing.

[0073] Step 3. Analysis of the antihypertensive effect on patients: Evaluate the blood pressure optimization coefficient of the patient in normal life after the last hypertension examination.

[0074] In a specific embodiment of the present invention, the blood pressure optimization coefficient for evaluating the patient in normal life after the last hypertension examination is specifically calculated by obtaining the patient's systolic blood pressure E, diastolic blood pressure F and heart rate value G, and blood pressure high risk coefficient T at the time of the last hypertension examination from the local database.

[0075] According to the patient's systolic blood pressure at each monitoring time point x , diastolic blood pressure x and heart rate value p x , to assess the patient's blood pressure optimization factor in normal life since the last hypertension examination

[0076]

[0077] Step 3 of the present invention is to analyze the antihypertensive effect of the patient, by analyzing the blood pressure data after taking the antihypertensive drug this time and the blood pressure data of the last test, to evaluate the blood pressure optimization coefficient of the hypertensive patient, so as to facilitate subsequent processing.

[0078] Step 4. Hospital data analysis and processing: Analyze the patient's blood pressure recovery coefficient, calculate the dosage adjustment value of the patient's antihypertensive drug, and evaluate the time point of the patient's next use of the dynamic blood pressure monitor. The dosage adjustment value of the patient's antihypertensive drug and the time point of the next use of the dynamic blood pressure monitor are sent to the patient's attending physician and medication collection point. After obtaining the attending physician's consent, the patient is allowed to pick up the medicine at the medication collection point.

[0079] In a specific embodiment of the present invention, the blood pressure recovery coefficient of the patient is analyzed by a specific analysis method: based on the blood pressure optimization coefficient λ of the patient in normal life after the last hypertension examination and the blood pressure threat coefficient in normal life Analyze the patient's blood pressure recovery coefficient

[0080] In a specific embodiment of the present invention, the dosage adjustment value of the patient's antihypertensive drug is calculated by obtaining the dosage H of the patient's antihypertensive drug after the diagnosis of hypertension and the dosage adjustment value of each blood pressure recovery coefficient interval from the local database, and mapping the patient's dosage adjustment value J according to the patient's blood pressure recovery coefficient.

[0081] Calculate the patient's antihypertensive drug dosage adjustment value K=H+J.

[0082] In a specific embodiment of the present invention, the evaluation method for evaluating the next time point of use of the patient's ambulatory blood pressure monitor is as follows: obtaining the target duration of the next hypertension examination corresponding to each blood pressure recovery coefficient interval from the local database, mapping the target duration of the patient's next ambulatory blood pressure monitor, and combining the time point when the patient currently hands in the ambulatory blood pressure monitor, adding the time point when the patient currently hands in the ambulatory blood pressure monitor to the target duration of the next ambulatory blood pressure monitor, and calculating the next time point of use of the patient's ambulatory blood pressure monitor.

[0083] Step 4 of the present invention is hospital data analysis and processing. By analyzing the obtained data, the adjustment amount of antihypertensive drugs and the next time point of hypertension detection for hypertensive patients can be intelligently calculated, thereby reducing the dependence on doctors' diagnosis and reducing the length of time waiting in line for doctors. Only the doctor needs to confirm on the terminal, so that hypertensive patients can quickly get the medicine and quickly confirm the next time point of hypertension detection, thereby improving the physical and mental health of hypertensive patients.

[0084] Reference Figure 2 As shown, the second aspect of the present invention provides a data supervision system based on the hypertension patient data supervision method, including: a hypertension patient data monitoring module, a patient environment related analysis module, a patient antihypertensive effect analysis module, a hospital data analysis and processing module and a local database.

[0085] It should be noted that the hypertension patient data monitoring module is connected to the patient environment-related analysis module, the patient environment-related analysis module is connected to the patient antihypertensive effect analysis module, the patient antihypertensive effect analysis module is connected to the hospital data analysis and processing module, and the local database is connected to the hypertension patient data monitoring module, the patient environment-related analysis module, the patient antihypertensive effect analysis module, and the hospital data analysis and processing module.

[0086] The hypertension patient data monitoring module is used for patients who are diagnosed with hypertension in the hospital and take antihypertensive drugs for a period of time, and then come to the hospital for examination again, to obtain the systolic blood pressure, diastolic blood pressure, heart rate and age of the patients tested in the hospital this time, and analyze the target monitoring time interval of the patient's dynamic blood pressure monitor, so as to obtain the various monitoring time points of the patient's dynamic blood pressure monitor. The patient wears the dynamic blood pressure monitor, and the monitoring time interval of the dynamic blood pressure monitor is set as the target monitoring time interval, and the patient's blood pressure is monitored in normal life.

[0087] The patient environment related analysis module is used to automatically obtain the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood sugar characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point after the patient returns to the hospital and re-hands in the dynamic blood pressure monitor, analyze the patient's allowable blood pressure increase value at each monitoring time point, and analyze the patient's blood pressure threat coefficient in normal life.

[0088] The patient blood pressure reduction effect analysis module is used to evaluate the patient's blood pressure optimization coefficient in normal life after the last hypertension examination.

[0089] The hospital data analysis and processing module is used to analyze the patient's blood pressure recovery coefficient, calculate the patient's antihypertensive drug dosage adjustment value, and evaluate the patient's next use time of the dynamic blood pressure monitor, and send the patient's antihypertensive drug dosage adjustment value and the next use time of the dynamic blood pressure monitor to the patient's attending physician and medication collection point. After obtaining the attending physician's consent, the patient is allowed to pick up the medicine at the medication collection point.

[0090] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A supervised method based on data of patients with hypertension, It is characterized in that include: Step 1. Data monitoring of patients with hypertension: After the patient is diagnosed with hypertension in the hospital and takes antihypertensive drugs for a period of time, he / she comes to the hospital for examination again, obtains the systolic blood pressure, diastolic blood pressure, heart rate and age of the patient tested in the hospital, analyzes the target monitoring time interval of the patient's dynamic blood pressure monitor, and thus obtains each monitoring time point of the patient's dynamic blood pressure monitor. The patient wears the dynamic blood pressure monitor, and sets the monitoring time interval of the dynamic blood pressure monitor as the target monitoring time interval, and monitors the patient's blood pressure in normal life; Step 2. Patient environment-related analysis: After the patient returns to the hospital and hands in the ambulatory blood pressure monitor again, the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood sugar characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point are automatically obtained, and the patient's allowable blood pressure increase value at each monitoring time point is analyzed, and the patient's blood pressure threat coefficient in normal life is analyzed; Step 3. Analysis of the patient's blood pressure reduction effect: evaluate the patient's blood pressure optimization coefficient in normal life after the last hypertension examination; Step 4. Hospital data analysis and processing: Analyze the patient's blood pressure recovery coefficient, calculate the dosage adjustment value of the patient's antihypertensive drug, and evaluate the time point of the patient's next use of the dynamic blood pressure monitor. The dosage adjustment value of the patient's antihypertensive drug and the time point of the next use of the dynamic blood pressure monitor are sent to the patient's attending physician and medication collection point. After obtaining the attending physician's consent, the patient is allowed to pick up the medicine at the medication collection point.

2. A method for supervising patients with hypertension data according to claim 1, It is characterized in that The specific calculation method of the target monitoring time interval of the dynamic blood pressure monitor of the analyzed patient is: According to the systolic blood pressure, diastolic blood pressure and heart rate values ​​of the patient tested in the hospital, calculate the high-risk blood pressure coefficient of the patient tested in the hospital; The target monitoring time interval corresponding to each high-risk blood pressure coefficient interval is obtained from the local database, and the target monitoring time interval of the patient's dynamic blood pressure monitor is mapped.

3. A method for supervising patients with hypertension data according to claim 2, It is characterized in that The specific calculation method for calculating the high-risk blood pressure coefficient of the patient detected in the hospital is: Obtain the appropriate systolic blood pressure interval, the appropriate diastolic blood pressure interval and the appropriate heart rate interval corresponding to each age group from the local database, and extract the maximum value of the appropriate systolic blood pressure interval, the maximum value of the appropriate diastolic blood pressure interval and the maximum value of the appropriate heart rate interval corresponding to each age group, and map the maximum value a of the appropriate systolic blood pressure interval, the maximum value b of the appropriate diastolic blood pressure interval and the maximum value c of the appropriate heart rate interval of the patient according to the age of the patient tested in the hospital; Calculate the high-risk blood pressure coefficient of the patient tested in the hospital based on the systolic blood pressure A, diastolic blood pressure B, and heart rate value C Where e represents a natural constant.

4. A method for supervising hypertension patient data according to claim 3, It is characterized in that The specific analysis method for analyzing the patient's allowable blood pressure increase value at each monitoring time point is as follows: Obtain the appropriate blood sugar characteristic value interval corresponding to each age group from the local database, and extract the maximum value of the appropriate blood sugar characteristic value interval corresponding to each age group. According to the age of the patient tested in the hospital, map the maximum value f of the patient's appropriate blood sugar characteristic value interval; According to the patient's blood glucose characteristic value F at each monitoring time point x , where x represents the number of each monitoring time point, x = 1, 2, ..., y, y is a positive integer greater than 2, and the patient's blood sugar and blood pressure deviation coefficient at each monitoring time point is calculated Obtain the blood sugar allowable increase value corresponding to each blood sugar allowable blood pressure deviation coefficient from the local database, and map the patient's blood sugar allowable blood pressure increase value g at each monitoring time point. x ; Similarly, the patient's heart rate allowed blood pressure increase value l at each monitoring time point is obtained. x 、Ambient temperature allows blood pressure increase value h x , Environmental humidity allows blood pressure increase value k x ; Analyze the patients' allowable blood pressure increase value ε at each monitoring time point x =g x +h x +k x +l x .

5. A method for supervising patients with hypertension data according to claim 4, It is characterized in that The specific analysis method for analyzing the blood pressure threat coefficient of the patient in normal life is as follows: Obtain the maximum allowable electromagnetic field strength value Q of the dynamic blood pressure monitor worn by the patient from the local database; According to the electromagnetic field strength value q of the patient at each monitoring time point x , calculate the electromagnetic field deviation hazard coefficient of the patient at each monitoring time point Obtain the electromagnetic field hazard adjustment value corresponding to each electromagnetic field deviation hazard coefficient interval from the local database, and map the electromagnetic field hazard adjustment value Y of the patient at each monitoring time point x ; According to the patient's systolic blood pressure at each monitoring time point x , diastolic blood pressure x and the allowable blood pressure increase ε x , and based on the maximum value a of the patient's appropriate systolic blood pressure range and the maximum value b of the appropriate diastolic blood pressure range, calculate the hazard coefficient of the patient's blood pressure exceeding the appropriate range in normal life Calculate the hazard coefficient of blood pressure fluctuations in patients' normal life Obtain the blood pressure threat coefficient adjustment parameter value corresponding to each blood pressure fluctuation hazard coefficient interval from the local database, and map it to obtain the blood pressure threat coefficient adjustment parameter value D of the patient in normal life; Analyze the patient's blood pressure threat factor in normal life 6. A method for supervising hypertension patient data according to claim 5, It is characterized in that The specific calculation method of evaluating the blood pressure optimization coefficient of the patient in normal life after the last hypertension examination is: Acquire the patient's systolic blood pressure E, diastolic blood pressure F, heart rate value G, and high blood pressure risk coefficient T during the last hypertension examination from the local database; According to the patient's systolic blood pressure at each monitoring time point x , diastolic blood pressure x and heart rate value p x , to assess the patient's blood pressure optimization factor in normal life since the last hypertension examination 7. A method for supervising hypertension patient data according to claim 1, It is characterized in that The specific analysis method of analyzing the patient's blood pressure recovery coefficient is as follows: Based on the patient's blood pressure optimization coefficient λ in normal life after the last hypertension examination and the blood pressure threat coefficient in normal life Analyze the patient's blood pressure recovery coefficient 8. A method for supervising hypertension patient data according to claim 1, It is characterized in that The specific calculation method for calculating the dosage adjustment value of the patient's antihypertensive drug is as follows: Obtain the dosage H of the antihypertensive drug used by the patient after diagnosis of hypertension and the dosage adjustment value of each blood pressure recovery coefficient interval from the local database, and map the patient's dosage adjustment value J according to the patient's blood pressure recovery coefficient; Calculate the patient's antihypertensive drug dosage adjustment value K=H+J.

9. A method for supervising hypertension patient data according to claim 1, It is characterized in that The specific evaluation method for evaluating the time point of the patient's next use of the ambulatory blood pressure monitor is as follows: The target duration of the next hypertension examination corresponding to each blood pressure recovery coefficient interval is obtained from the local database, and the target duration of the patient's next dynamic blood pressure monitor is mapped. In combination with the time when the patient currently hands in the dynamic blood pressure monitor, the time when the patient currently hands in the dynamic blood pressure monitor is added to the target duration of the next dynamic blood pressure monitor to calculate the time when the patient's next dynamic blood pressure monitor is used.

10. A data monitoring system for executing the method for monitoring data of hypertension patients according to any one of claims 1 to 9, include: The hypertension patient data monitoring module is used for patients who are diagnosed with hypertension in the hospital and take antihypertensive drugs for a period of time, and then come to the hospital for examination again, to obtain the systolic blood pressure, diastolic blood pressure, heart rate and age of the patients tested in the hospital this time, analyze the target monitoring time interval of the patient's dynamic blood pressure monitor, and thus obtain the various monitoring time points of the patient's dynamic blood pressure monitor. The patient wears the dynamic blood pressure monitor, and sets the monitoring time interval of the dynamic blood pressure monitor as the target monitoring time interval, and monitors the patient's blood pressure in normal life; The patient environment-related analysis module is used to automatically obtain the patient's systolic blood pressure, diastolic blood pressure, heart rate value, blood sugar characteristic value, electromagnetic field strength value, ambient temperature value and ambient humidity value at each monitoring time point after the patient returns to the hospital and re-hands in the dynamic blood pressure monitor, analyze the patient's allowable blood pressure increase value at each monitoring time point, and analyze the patient's blood pressure threat coefficient in normal life; Patient antihypertensive effect analysis module, used to evaluate the patient's blood pressure optimization coefficient in normal life after the last hypertension examination; The hospital data analysis and processing module is used to analyze the patient's blood pressure recovery coefficient, calculate the dosage adjustment value of the patient's antihypertensive drug, and evaluate the time point of the patient's next use of the dynamic blood pressure monitor. The dosage adjustment value of the patient's antihypertensive drug and the time point of the next use of the dynamic blood pressure monitor are sent to the patient's attending physician and the medication collection point. After obtaining the consent of the attending physician, the patient is allowed to pick up the medicine at the medication collection point.

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