CN113499046A - Dynamic blood pressure real-time monitoring device, system and storage medium - Google Patents
Dynamic blood pressure real-time monitoring device, system and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent wearing, and discloses a dynamic blood pressure real-time monitoring device, a dynamic blood pressure real-time monitoring system and a storage medium, wherein a dynamic blood pressure real-time monitoring program in the dynamic blood pressure real-time monitoring device is configured to realize the following steps: the method comprises the steps of calibrating collected dynamic blood pressure at a preset monitoring position of a monitored user in real time to obtain calibrated dynamic blood pressure; inputting the blood pressure influence item of the monitored user into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user; judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user; if not, sending preset warning information. The blood pressure influence item of the monitored user is input into a preset health model established based on an individualized health database, whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not is judged based on the obtained blood pressure fluctuation range of the monitored user, and individualized and accurate dynamic blood pressure monitoring of the monitored user is achieved.
Description
Technical Field
The invention relates to the technical field of intelligent wearing, in particular to a dynamic blood pressure real-time monitoring device, a dynamic blood pressure real-time monitoring system and a storage medium.
Background
By ambulatory blood pressure, it is understood blood pressure data of a user at regular intervals, such as 5 minutes, during 24 hours of the day, comprising systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate and corresponding maximum and minimum values, such as percentages greater than or equal to 21.3/12.6kPa (160/95mmHg) or/and 18.7/12.0kPa (140/90mmHg), etc. The change rule of the blood pressure in the whole day can be actually reflected by monitoring the dynamic blood pressure, so that the method is favorable for truly reflecting the health condition of a body and also favorable for storing, analyzing, early warning and the like of dynamic blood pressure monitoring data. However, most of the blood pressure monitoring in the market at present is static and fragment monitoring based on an electronic sphygmomanometer, and the judgment standard is also a group judgment standard, which cannot perform personalized dynamic blood pressure monitoring for a monitored user, and is not beneficial to personalized health management.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a device, a system and a storage medium for monitoring dynamic blood pressure in real time, and aims to solve the technical problems of realizing personalized dynamic blood pressure monitoring and improving the accuracy of dynamic blood pressure monitoring.
In order to achieve the above object, the present invention provides a real-time dynamic blood pressure monitoring device, which includes a memory, a processor, and a real-time dynamic blood pressure monitoring program stored in the memory and operable on the processor, wherein the real-time dynamic blood pressure monitoring program is configured to implement the following steps:
acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
acquiring dynamic blood pressure at a preset monitoring position of a monitored user, and determining a standard monitoring position of the monitored user according to an individualized health database corresponding to the monitored user;
acquiring the error degree between the preset monitoring position and the standard monitoring position;
and calibrating the dynamic blood pressure in real time according to the error degree to obtain the calibrated dynamic blood pressure.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
judging whether the error degree is greater than or equal to a preset error degree or not;
when the error degree is greater than or equal to the preset error degree, acquiring the current environment parameters of the environment where the monitored user is located;
and calibrating the dynamic blood pressure in real time according to the current environmental parameters to obtain the calibrated dynamic blood pressure.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
extracting blood pressure influence items corresponding to a preset training user from medical record data and archive data of the preset training user;
acquiring historical blood pressure data of the preset training user, and dividing different blood pressure fluctuation ranges based on the historical blood pressure data of the preset training user;
taking the blood pressure training item corresponding to the preset training user as a model input item of a preset classification model, and taking the blood pressure fluctuation range corresponding to the preset training user as a model output item of the preset classification model;
training the preset classification model based on the model input item and the model output item to obtain a preset health model.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
extracting a blood pressure influence item corresponding to the monitored user from the medical record data and the archival data of the monitored user;
inputting the blood pressure influence item of the monitored user into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
and judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user or not.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
acquiring current state parameters of the monitored user, and judging whether the monitored user is in a motion state or not according to the current state parameters;
when the monitored user is in the motion state, searching a corresponding blood pressure regulation coefficient in a preset relation mapping table according to the current state parameter;
and adjusting the blood pressure fluctuation range corresponding to the monitored user according to the blood pressure adjustment coefficient to obtain an adjusted blood pressure fluctuation range, and judging whether the adjusted dynamic blood pressure meets a preset blood pressure standard or not according to whether the adjusted dynamic blood pressure exceeds the adjusted blood pressure fluctuation range or not.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
judging whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user;
when the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user, recording the exceeding time length of the calibrated dynamic blood pressure exceeding the blood pressure fluctuation range corresponding to the monitored user;
and judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to whether the standard exceeding time length is greater than or equal to a preset standard exceeding time length or not.
Optionally, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
displaying the calibrated dynamic blood pressure in a preset display mode when the calibrated dynamic blood pressure does not meet the preset blood pressure standard;
and acquiring an emergency contact path preset by the monitored user, and sending preset warning information through the emergency contact path based on the calibrated dynamic blood pressure.
In addition, in order to achieve the above object, the present invention further provides a real-time ambulatory blood pressure monitoring system, including:
the blood pressure calibration module is used for collecting the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
the range determining module is used for acquiring a blood pressure influence item of the monitored user and inputting the blood pressure influence item into a preset health model so as to obtain a blood pressure fluctuation range corresponding to the monitored user;
the standard exceeding judging module is used for judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and the standard exceeding warning module is used for sending preset warning information when the calibrated dynamic blood pressure does not accord with the preset blood pressure standard.
In addition, in order to achieve the above object, the present invention further provides a storage medium, in which a real-time dynamic blood pressure monitoring program is stored, and the real-time dynamic blood pressure monitoring program is configured to implement the following steps:
acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
The dynamic blood pressure real-time monitoring device comprises a memory, a processor and a dynamic blood pressure real-time monitoring program which is stored on the memory and can be operated on the processor, wherein the dynamic blood pressure real-time monitoring program is configured to realize the following steps: acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure; acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user; judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user; and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard. Compared with the monitoring errors caused by accidental emotions, exercise, food intake and other influence factors which cannot be avoided by measuring the blood pressure by using the even blood pressure in the prior art, the static and fragment monitoring based on an electronic sphygmomanometer which is mostly used for blood pressure monitoring in the current market, the judgment standard of the static and fragment monitoring is also the group judgment standard, the individualized dynamic blood pressure monitoring cannot be carried out aiming at the monitored user, and the individualized health management is not facilitated, the accuracy of the dynamic blood pressure monitoring is improved by carrying out real-time calibration on the acquired dynamic blood pressure of the monitored user based on the individualized health database of the monitored user, the blood pressure influence item of the monitored user is obtained, and the blood pressure influence item is input into the preset health model established based on the individualized health database to obtain the blood pressure fluctuation range corresponding to the monitored user, and then, judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user so as to realize the individualized and accurate monitoring of the dynamic blood pressure of the monitored user, and further sending preset warning information to reduce the occurrence of emergencies and improve the dynamic blood pressure monitoring experience of the monitored user when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
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FIG. 1 is a schematic structural diagram of a real-time ambulatory blood pressure monitoring device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a real-time ambulatory blood pressure monitoring program stored in the real-time ambulatory blood pressure monitoring device according to the first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a real-time ambulatory blood pressure monitoring program stored in the real-time ambulatory blood pressure monitoring device according to a second embodiment of the present invention;
fig. 4 is a block diagram of the dynamic blood pressure real-time monitoring system according to the first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a dynamic blood pressure real-time monitoring device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the ambulatory blood pressure real-time monitoring device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the ambulatory blood pressure real-time monitoring device, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and a dynamic blood pressure real-time monitoring program therein.
In the real-time monitoring device for dynamic blood pressure shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the real-time dynamic blood pressure monitoring device according to the present invention may be provided in the real-time dynamic blood pressure monitoring device, and the real-time dynamic blood pressure monitoring device calls the real-time dynamic blood pressure monitoring program stored in the memory 1005 through the processor 1001.
Referring to fig. 2, fig. 2 is a schematic flow chart of a real-time monitoring program of dynamic blood pressure stored in the real-time monitoring device of dynamic blood pressure according to a first embodiment of the present invention.
In this embodiment, the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
step S10: acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
it is easy to understand that, the real-time ambulatory blood pressure monitoring device described in this embodiment may be configured as a smart bracelet, a smart watch, and the like, and the data transmission mode of the real-time ambulatory blood pressure monitoring device includes but is not limited to bluetooth, 4G, ESIM card, and the like in a specific implementation, and may be configured according to actual requirements, this embodiment is not limited thereto, the monitored user is a user wearing the real-time ambulatory blood pressure monitoring device, and accordingly, the preset monitoring position of the monitored user (non-invasive monitoring is adopted in the dynamic blood pressure monitoring based on the preset monitoring position, such as infrared monitoring, and the like) is a wearing position of the real-time ambulatory blood pressure monitoring device, and in a specific implementation, the monitored user does not wear the real-time ambulatory blood pressure monitoring device on the wrist all the time to measure the ambulatory blood pressure (including but not limited to systolic pressure, diastolic pressure, and blood pressure, Mean arterial pressure, heart rate, and the highest and lowest values corresponding thereto) of the monitored user, that is, the standard monitoring position, so that when acquiring the dynamic blood pressure at the preset monitoring position of the monitored user, the preset monitoring position may be compared with the standard monitoring position to obtain the error degree between the preset monitoring position and the standard monitoring position, and the standard monitoring position may be set according to actual requirements, for example, as the wrist of the monitored user, and in order to implement personalized dynamic blood pressure monitoring, the standard monitoring position of the monitored user may be determined according to the personalized health database corresponding to the monitored user, so as to measure the dynamic blood pressure, which is not limited in this example.
The personalized health database is generated according to personal data information input by a user, for example, personal data information such as the age, the height, the weight, the sex, the existence or nonexistence of hypertension and coronary heart disease history of a monitored user is obtained, various data in the personal data information are compared with corresponding reference health values to obtain a reference comparison result, and the personalized health database is established based on the reference comparison result, wherein the reference health value can be set by the user, for example, the user sets according to the guidance of medical care personnel, the user finely adjusts according to a preset reference health value, and the preset reference health value is a reference health value matched according to the personal data information of the user.
It should be noted that, in order to improve the accuracy of the obtained blood pressure monitoring data, after the error degree between the preset monitoring position and the standard monitoring position is obtained, the dynamic blood pressure may be calibrated in real time according to the error degree, so as to obtain the calibrated dynamic blood pressure, if the error degree is too large (if greater than 50%, it may be understood that the degree deviating from the standard monitoring position is too large, and the dynamic blood pressure real-time monitoring device is not at the wrist), it may be monitored whether the dynamic blood pressure real-time monitoring device is worn on the living body, and when not worn on the living body, the dynamic blood pressure monitoring data at this stage may be filtered, and corresponding warning information is sent to remind the monitored user to wear the dynamic blood pressure real-time monitoring device; when the device is still worn on the living body but the degree of deviation from the wrist of the living body is too large, the dynamic blood pressure monitoring data in the stage can be marked, for example, the error degree and the duration time of the error degree in the stage are marked, and correspondingly, corresponding warning information can be sent out to remind the monitored user to adjust the wearing position of the dynamic blood pressure real-time monitoring device.
Further, in order to improve the accuracy of the obtained blood pressure monitoring data, it may be further determined whether the error degree is greater than or equal to a preset error degree, where the preset error degree may be set according to an actual requirement, for example, 5%, 10%, and the like, which is not limited in this embodiment. When the error degree is more than or equal to the preset error degree, acquiring the current environment parameters of the environment where the monitored user is located, calibrating the dynamic blood pressure in real time according to the current environmental parameters to obtain the calibrated dynamic blood pressure, wherein the current environmental parameters can be environmental parameters such as gravity, altitude and the like, searching a corresponding calibration coefficient in a preset environment relation mapping table according to the current environment parameter, and calibrating the dynamic blood pressure in real time based on the calibration coefficient, so as to obtain the dynamic blood pressure after calibration, the preset environment relation mapping table is established based on the influence degree of each environment parameter on the dynamic blood pressure of the human body, the calibration coefficients corresponding to the dynamic blood pressure under different environmental parameters (or different environmental parameter ranges) can be represented, and the preset environmental relationship mapping table can be adjusted according to actual requirements.
Step S20: acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
step S30: judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
it is easy to understand that, in order to implement personalized dynamic blood pressure monitoring, a blood pressure influence item corresponding to the monitored user can be extracted from the medical record data and the archive data of the monitored user stored in the personalized health database, the blood pressure influence item can be understood as a factor influencing the dynamic blood pressure of the monitored user, such as the age, the height, the weight, the sex, the existence of hypertension, the history of coronary heart disease and the like of the monitored user, then the blood pressure influence item of the monitored user is input into a preset health model to obtain the blood pressure fluctuation range corresponding to the monitored user, the preset health model can be understood as a classification model which is established based on a classification algorithm and can calculate the blood pressure fluctuation range according to the blood pressure influence item, and the specific construction mode can be referred to the second embodiment of the dynamic blood pressure real-time monitoring program stored in the dynamic blood pressure real-time monitoring device of the present invention, this embodiment is not described herein. The blood pressure fluctuation range is a safety range of each monitoring data of the dynamic blood pressure, and whether the calibrated dynamic blood pressure meets a preset blood pressure standard can be judged according to whether the calibrated dynamic blood pressure exceeds a blood pressure fluctuation range corresponding to the monitored user, the preset blood pressure standard can be set to be that each item of the dynamic blood pressure is in a blood pressure fluctuation range corresponding to the monitoring data, and the preset blood pressure standard can be refined in the directions of duration and the like according to actual requirements, so that the accuracy of the dynamic blood pressure monitoring data in evaluation is improved. For example, it may be determined whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user, when the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user, an excessive time length during which the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user is recorded, and whether the calibrated dynamic blood pressure meets a preset blood pressure standard is determined according to whether the excessive time length is greater than or equal to a preset excessive time length, where the preset excessive time length may be set according to an actual requirement, which is not limited in this embodiment.
In specific implementation, in order to further improve the accuracy of evaluating the dynamic blood pressure monitoring data, current state parameters of the monitored user, such as heart rate, body temperature, pulse, respiratory frequency, body surface humidity and the like, can be acquired, whether the monitored user is in a motion state or not is judged according to the current state parameters, and whether the monitored user is in a motion state or not is judged according to whether an obvious pulse rising trend exists or not; when the monitored user is in the motion state, searching a corresponding blood pressure regulation coefficient in a preset relation mapping table according to the current state parameter, wherein the preset relation mapping table is established based on the influence degree of each state parameter in the motion state on the dynamic blood pressure of the human body, and is used for expressing the blood pressure regulation coefficient corresponding to the blood pressure fluctuation range under different state parameters (also can be in different state parameter ranges) in the motion state, and adjusting the preset relation mapping table according to actual requirements. And adjusting the blood pressure fluctuation range corresponding to the monitored user according to the blood pressure adjustment coefficient to obtain an adjusted blood pressure fluctuation range, and judging whether the adjusted dynamic blood pressure meets a preset blood pressure standard or not according to whether the adjusted dynamic blood pressure exceeds the adjusted blood pressure fluctuation range or not.
Step S40: and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
In a specific implementation, when the calibrated dynamic blood pressure does not meet the preset blood pressure standard, the calibrated dynamic blood pressure is displayed in a preset display manner, where the preset display manner may be a waveform diagram, a bar graph, or the like, and may also be a flashing, a bold line/font, a color change (for example, when the calibrated dynamic blood pressure meets the preset blood pressure standard, the dynamic blood pressure monitoring data is illustrated in green, and when the calibrated dynamic blood pressure does not meet the preset blood pressure standard, the dynamic blood pressure monitoring data is illustrated in red), and the like. In a specific implementation, an emergency contact path preset by the monitored user may also be obtained (for example, a mobile phone number may be set as a mobile phone number of a doctor, a relative, or the like of the monitored user, and may be set according to an actual requirement), and preset warning information may be sent through the emergency contact path based on the calibrated dynamic blood pressure (for example, an early warning is performed through a short message and/or a telephone), and the preset warning information may be set according to an actual requirement, which is not limited in this implementation.
Further, in order to improve the dynamic blood pressure monitoring experience of the user, a dynamic blood pressure analysis report can be generated according to dynamic blood pressure monitoring data within a preset time period (such as 12 hours, 24 hours and the like), and the dynamic blood pressure report is pushed to terminal equipment preset by the monitored user, so that the monitored user can know the real health condition of the monitored user in time, and further, the dynamic blood pressure monitoring data within the next preset time period can be predicted based on the dynamic blood pressure monitoring data within the preset time period, so that early warning is performed on the user, and the occurrence of emergency is reduced.
The device for monitoring the dynamic blood pressure in real time in the embodiment comprises a memory, a processor and a dynamic blood pressure real-time monitoring program which is stored in the memory and can be run on the processor, wherein the dynamic blood pressure real-time monitoring program is configured to realize the following steps: acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure; acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user; judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user; and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard. Compared with the monitoring errors caused by accidental emotions, exercise, food intake and other influence factors which cannot be avoided by measuring the blood pressure by using the even blood pressure in the prior art, the static and fragment monitoring based on the electronic sphygmomanometer which is mostly used for blood pressure monitoring in the current market, the judgment standard of the blood pressure monitoring is also the group judgment standard, the individualized dynamic blood pressure monitoring cannot be carried out for the monitored user, and the individualized health management is not facilitated, in the embodiment, the accuracy of the dynamic blood pressure monitoring is improved by calibrating the collected dynamic blood pressure of the monitored user in real time based on the individualized health database of the monitored user, the blood pressure influence item of the monitored user is obtained, and the blood pressure influence item is input into the preset health model established based on the individualized health database to obtain the blood pressure fluctuation range corresponding to the monitored user, and then, judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user so as to realize the individualized and accurate monitoring of the dynamic blood pressure of the monitored user, and further sending preset warning information to reduce the occurrence of emergencies and improve the dynamic blood pressure monitoring experience of the user when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
Referring to fig. 3, fig. 3 is a schematic flow chart of a real-time monitoring program of dynamic blood pressure stored in the real-time monitoring device of dynamic blood pressure according to a second embodiment of the present invention.
Based on the first embodiment, in this embodiment, before the step S20, the method further includes:
step S01: extracting blood pressure influence items corresponding to a preset training user from medical record data and archive data of the preset training user;
it should be noted that the medical record data and the archive data of the preset training user may be medical record data and archive data (only used for model training) of a user who has entered dynamic blood pressure monitoring data, or medical record data and archive data of a user who performs model training, which are extracted from a preset training database, and the medical record data and the archive data of the user who performs model training are stored in the preset training database for real-time updating, and can be uploaded by the user or periodically updated by an operator. The blood pressure influencing item can be understood as a factor influencing the dynamic blood pressure of the preset training user, such as the age, the height, the weight, the sex, the existence or non-existence of hypertension, the coronary heart disease history and the like of the preset training user.
Step S02: acquiring historical blood pressure data of the preset training user, and dividing different blood pressure fluctuation ranges based on the historical blood pressure data of the preset training user;
it is easy to understand that after obtaining the blood pressure influence item of the preset training user, historical blood pressure data of the preset training user, namely stored dynamic blood pressure monitoring data of the preset training user, including but not limited to systolic pressure, diastolic pressure, mean arterial pressure, heart rate and respective corresponding maximum value and minimum value, may also be obtained, and then the blood pressure fluctuation range of each dynamic blood pressure monitoring data under different blood pressure influence items is divided according to the historical blood pressure data of the preset training user, for example, the blood pressure fluctuation range of systolic pressure is (m, n), the blood pressure fluctuation range of diastolic pressure is (a, b), the blood pressure fluctuation range of mean arterial pressure (p, q), etc.
Step S03: taking the blood pressure training item corresponding to the preset training user as a model input item of a preset classification model, and taking the blood pressure fluctuation range corresponding to the preset training user as a model output item of the preset classification model;
step S04: training the preset classification model based on the model input item and the model output item to obtain a preset health model.
It should be noted that after obtaining the blood pressure training item corresponding to the preset training user and the blood pressure fluctuation range corresponding to each dynamic blood pressure monitoring data under different blood pressure influence items, the blood pressure training item corresponding to the preset training user may be used as a model input item of a preset classification model, and the blood pressure fluctuation range corresponding to each dynamic blood pressure monitoring data of the preset training user may be used as a model output item of the preset classification model; then, training a preset classification model based on the blood pressure fluctuation range corresponding to each dynamic blood pressure monitoring data under different blood pressure influence items through a classification algorithm to obtain a preset health model, wherein the preset classification model can be a decision tree, in a specific implementation, the setting may be performed according to actual requirements, so as to find out a relationship between a blood pressure training item corresponding to the preset training user and a blood pressure fluctuation range corresponding to each dynamic blood pressure monitoring data of the preset training user, which is not limited in this embodiment, and accordingly, the classification algorithm may be a decision tree algorithm, such as ID3, C4.5(C5.0), Classification and Regression Trees (CART), publish, Supervised Learning algorithm (SLIQ), Scalable Parallelizable Classification Tree (SPRINT) algorithm, etc., which are not limited In this embodiment.
The device for monitoring the dynamic blood pressure in real time in the embodiment comprises a memory, a processor and a dynamic blood pressure real-time monitoring program which is stored in the memory and can be run on the processor, wherein the dynamic blood pressure real-time monitoring program is further configured to realize the following steps: the method comprises the steps of extracting a blood pressure influence item corresponding to a preset training user from medical record data and archive data of the preset training user, obtaining historical blood pressure data of the preset training user, dividing different blood pressure fluctuation ranges based on the historical blood pressure data of the preset training user, using the blood pressure training item corresponding to the preset training user as a model input item of a preset classification model, using the blood pressure fluctuation range corresponding to the preset training user as a model output item of the preset classification model, and training the preset classification model based on the model input item and the model output item to obtain a preset health model. The preset classification model is trained through the blood pressure fluctuation range corresponding to the blood pressure influence item corresponding to the preset training user and the dynamic blood pressure monitoring data of the preset training user, a preset health model used for determining the dynamic blood pressure fluctuation range is obtained, so that the dynamic blood pressure fluctuation range of the monitored user is determined based on the preset health model subsequently, and the monitored user is subjected to individualized dynamic blood pressure accurate monitoring based on the dynamic blood pressure fluctuation range.
In addition, an embodiment of the present invention further provides a storage medium, where a dynamic blood pressure real-time monitoring program is stored in the storage medium, and the dynamic blood pressure real-time monitoring program is configured to implement the following steps:
acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
acquiring dynamic blood pressure at a preset monitoring position of a monitored user, and determining a standard monitoring position of the monitored user according to an individualized health database corresponding to the monitored user;
acquiring the error degree between the preset monitoring position and the standard monitoring position;
and calibrating the dynamic blood pressure in real time according to the error degree to obtain the calibrated dynamic blood pressure.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
judging whether the error degree is greater than or equal to a preset error degree or not;
when the error degree is greater than or equal to the preset error degree, acquiring the current environment parameters of the environment where the monitored user is located;
and calibrating the dynamic blood pressure in real time according to the current environmental parameters to obtain the calibrated dynamic blood pressure.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
extracting blood pressure influence items corresponding to a preset training user from medical record data and archive data of the preset training user;
acquiring historical blood pressure data of the preset training user, and dividing different blood pressure fluctuation ranges based on the historical blood pressure data of the preset training user;
taking the blood pressure training item corresponding to the preset training user as a model input item of a preset classification model, and taking the blood pressure fluctuation range corresponding to the preset training user as a model output item of the preset classification model;
training the preset classification model based on the model input item and the model output item to obtain a preset health model.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
extracting a blood pressure influence item corresponding to the monitored user from the medical record data and the archival data of the monitored user;
inputting the blood pressure influence item of the monitored user into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
and judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user or not.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
acquiring current state parameters of the monitored user, and judging whether the monitored user is in a motion state or not according to the current state parameters;
when the monitored user is in the motion state, searching a corresponding blood pressure regulation coefficient in a preset relation mapping table according to the current state parameter;
and adjusting the blood pressure fluctuation range corresponding to the monitored user according to the blood pressure adjustment coefficient to obtain an adjusted blood pressure fluctuation range, and judging whether the adjusted dynamic blood pressure meets a preset blood pressure standard or not according to whether the adjusted dynamic blood pressure exceeds the adjusted blood pressure fluctuation range or not.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
judging whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user;
when the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user, recording the exceeding time length of the calibrated dynamic blood pressure exceeding the blood pressure fluctuation range corresponding to the monitored user;
and judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to whether the standard exceeding time length is greater than or equal to a preset standard exceeding time length or not.
Wherein the real-time ambulatory blood pressure monitoring program is further configured to implement the steps of:
displaying the calibrated dynamic blood pressure in a preset display mode when the calibrated dynamic blood pressure does not meet the preset blood pressure standard;
and acquiring an emergency contact path preset by the monitored user, and sending preset warning information through the emergency contact path based on the calibrated dynamic blood pressure.
The specific implementation manner of the real-time monitoring program of the dynamic blood pressure in the storage medium of the present invention can refer to the specific implementation manner of the real-time monitoring program of the dynamic blood pressure in the above embodiments of the apparatuses, and will not be described herein again.
Referring to fig. 4, fig. 4 is a block diagram illustrating a first embodiment of a dynamic blood pressure real-time monitoring system according to the present invention.
As shown in fig. 4, the system for monitoring dynamic blood pressure in real time according to the embodiment of the present invention includes:
the blood pressure calibration module 10 is configured to acquire a dynamic blood pressure at a preset monitoring position of a monitored user, and calibrate the dynamic blood pressure in real time to obtain a calibrated dynamic blood pressure;
the range determining module 20 is configured to obtain a blood pressure influence item of the monitored user, and input the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
the standard exceeding judging module 30 is used for judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard according to the blood pressure fluctuation range corresponding to the monitored user;
and the standard exceeding warning module 40 is used for sending out preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
The real-time dynamic blood pressure monitoring system described in this embodiment includes a memory, a processor, and a real-time dynamic blood pressure monitoring program that is stored in the memory and can be run on the processor, and the real-time dynamic blood pressure monitoring program is configured to implement the following steps: acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure; acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user; judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user; and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard. Compared with the monitoring errors caused by accidental emotions, exercise, food intake and other influence factors which cannot be avoided by measuring the blood pressure by using the even blood pressure in the prior art, the static and fragment monitoring based on the electronic sphygmomanometer which is mostly used for blood pressure monitoring in the current market, the judgment standard of the blood pressure monitoring is also the group judgment standard, the individualized dynamic blood pressure monitoring cannot be carried out for the monitored user, and the individualized health management is not facilitated, in the embodiment, the accuracy of the dynamic blood pressure monitoring is improved by calibrating the collected dynamic blood pressure of the monitored user in real time based on the individualized health database of the monitored user, the blood pressure influence item of the monitored user is obtained, and the blood pressure influence item is input into the preset health model established based on the individualized health database to obtain the blood pressure fluctuation range corresponding to the monitored user, and then, judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user so as to realize the individualized and accurate monitoring of the dynamic blood pressure of the monitored user, and further sending preset warning information to reduce the occurrence of emergencies and improve the dynamic blood pressure monitoring experience of the user when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
Based on the first embodiment of the real-time monitoring system for dynamic blood pressure of the present invention, a second embodiment of the real-time monitoring system for dynamic blood pressure of the present invention is provided.
In this embodiment, the blood pressure calibration module 10 is further configured to collect dynamic blood pressure at a preset monitoring position of a monitored user, and determine a standard monitoring position of the monitored user according to an individualized health database corresponding to the monitored user;
the blood pressure calibration module 10 is further configured to obtain an error degree between the preset monitoring position and the standard monitoring position;
the blood pressure calibration module 10 is further configured to calibrate the dynamic blood pressure in real time according to the error degree, so as to obtain a calibrated dynamic blood pressure.
The blood pressure calibration module 10 is further configured to determine whether the error degree is greater than or equal to a preset error degree;
the blood pressure calibration module 10 is further configured to obtain a current environment parameter of an environment where the monitored user is located when the error degree is greater than or equal to the preset error degree;
the blood pressure calibration module 10 is further configured to calibrate the dynamic blood pressure in real time according to the current environmental parameter, so as to obtain a calibrated dynamic blood pressure.
The range determining module 20 is further configured to extract a blood pressure influence item corresponding to a preset training user from medical record data and archive data of the preset training user;
the range determining module 20 is further configured to obtain historical blood pressure data of the preset training user, and divide different blood pressure fluctuation ranges based on the historical blood pressure data of the preset training user;
the range determining module 20 is further configured to use the blood pressure training item corresponding to the preset training user as a model input item of a preset classification model, and use the blood pressure fluctuation range corresponding to the preset training user as a model output item of the preset classification model;
the range determining module 20 is further configured to train the preset classification model based on the model input item and the model output item to obtain a preset health model.
The range determining module 20 is further configured to extract a blood pressure influence item corresponding to the monitored user from medical record data and archive data of the monitored user;
the range determining module 20 is further configured to input the blood pressure influence item of the monitored user into a preset health model, so as to obtain a blood pressure fluctuation range corresponding to the monitored user;
the standard exceeding judging module 30 is further configured to judge whether the calibrated dynamic blood pressure meets a preset blood pressure standard according to whether the calibrated dynamic blood pressure exceeds a blood pressure fluctuation range corresponding to the monitored user.
The range determining module 20 is further configured to obtain a current state parameter of the monitored user, and determine whether the monitored user is in a motion state according to the current state parameter;
the range determining module 20 is further configured to search a corresponding blood pressure adjustment coefficient in a preset relationship mapping table according to the current state parameter when the monitored user is in the motion state;
the range determining module 20 is further configured to adjust a blood pressure fluctuation range corresponding to the monitored user according to the blood pressure adjustment coefficient, so as to obtain an adjusted blood pressure fluctuation range.
The standard exceeding judging module 30 is further configured to judge whether the calibrated dynamic blood pressure meets a preset blood pressure standard according to whether the calibrated dynamic blood pressure exceeds the adjusted blood pressure fluctuation range.
The standard exceeding judging module 30 is further configured to judge whether the calibrated dynamic blood pressure exceeds a blood pressure fluctuation range corresponding to the monitored user;
the overproof judgment module 30 is further configured to record an overproof duration that the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user when the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user;
the exceeding judgment module 30 is further configured to judge whether the calibrated dynamic blood pressure meets a preset blood pressure standard according to whether the exceeding time length is greater than or equal to a preset exceeding time length.
The standard exceeding warning module 40 is further configured to display the calibrated dynamic blood pressure in a preset display manner when the calibrated dynamic blood pressure does not meet the preset blood pressure standard;
the standard exceeding warning module 40 is further configured to acquire an emergency contact path preset by the monitored user, and send preset warning information through the emergency contact path based on the calibrated dynamic blood pressure.
Other embodiments or specific implementation manners of the dynamic blood pressure real-time monitoring system of the present invention may refer to the above embodiments of the apparatus, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A real-time ambulatory blood pressure monitoring device, comprising a memory, a processor, and a real-time ambulatory blood pressure monitoring program stored in the memory and executable on the processor, wherein the real-time ambulatory blood pressure monitoring program is configured to implement the steps of:
acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
2. The ambulatory blood pressure real-time monitoring device according to claim 1, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the steps of:
acquiring dynamic blood pressure at a preset monitoring position of a monitored user, and determining a standard monitoring position of the monitored user according to an individualized health database corresponding to the monitored user;
acquiring the error degree between the preset monitoring position and the standard monitoring position;
and calibrating the dynamic blood pressure in real time according to the error degree to obtain the calibrated dynamic blood pressure.
3. The ambulatory blood pressure real-time monitoring device according to claim 2, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the steps of:
judging whether the error degree is greater than or equal to a preset error degree or not;
when the error degree is greater than or equal to the preset error degree, acquiring the current environment parameters of the environment where the monitored user is located;
and calibrating the dynamic blood pressure in real time according to the current environmental parameters to obtain the calibrated dynamic blood pressure.
4. The ambulatory blood pressure real-time monitoring device according to claim 1, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the steps of:
extracting blood pressure influence items corresponding to a preset training user from medical record data and archive data of the preset training user;
acquiring historical blood pressure data of the preset training user, and dividing different blood pressure fluctuation ranges based on the historical blood pressure data of the preset training user;
taking the blood pressure training item corresponding to the preset training user as a model input item of a preset classification model, and taking the blood pressure fluctuation range corresponding to the preset training user as a model output item of the preset classification model;
training the preset classification model based on the model input item and the model output item to obtain a preset health model.
5. The ambulatory blood pressure real-time monitoring device according to claim 1, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the steps of:
extracting a blood pressure influence item corresponding to the monitored user from the medical record data and the archival data of the monitored user;
inputting the blood pressure influence item of the monitored user into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
and judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user or not.
6. The ambulatory blood pressure real-time monitoring device according to claim 5, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the steps of:
acquiring current state parameters of the monitored user, and judging whether the monitored user is in a motion state or not according to the current state parameters;
when the monitored user is in the motion state, searching a corresponding blood pressure regulation coefficient in a preset relation mapping table according to the current state parameter;
and adjusting the blood pressure fluctuation range corresponding to the monitored user according to the blood pressure adjustment coefficient to obtain an adjusted blood pressure fluctuation range, and judging whether the adjusted dynamic blood pressure meets a preset blood pressure standard or not according to whether the adjusted dynamic blood pressure exceeds the adjusted blood pressure fluctuation range or not.
7. The ambulatory blood pressure real-time monitoring device according to claim 5, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the steps of:
judging whether the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user;
when the calibrated dynamic blood pressure exceeds the blood pressure fluctuation range corresponding to the monitored user, recording the exceeding time length of the calibrated dynamic blood pressure exceeding the blood pressure fluctuation range corresponding to the monitored user;
and judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to whether the standard exceeding time length is greater than or equal to a preset standard exceeding time length or not.
8. The ambulatory blood pressure real-time monitoring device according to any one of claims 1-7, wherein said ambulatory blood pressure real-time monitoring program is configured to implement the following steps:
displaying the calibrated dynamic blood pressure in a preset display mode when the calibrated dynamic blood pressure does not meet the preset blood pressure standard;
and acquiring an emergency contact path preset by the monitored user, and sending preset warning information through the emergency contact path based on the calibrated dynamic blood pressure.
9. A real-time ambulatory blood pressure monitoring system, comprising:
the blood pressure calibration module is used for collecting the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
the range determining module is used for acquiring a blood pressure influence item of the monitored user and inputting the blood pressure influence item into a preset health model so as to obtain a blood pressure fluctuation range corresponding to the monitored user;
the standard exceeding judging module is used for judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and the standard exceeding warning module is used for sending preset warning information when the calibrated dynamic blood pressure does not accord with the preset blood pressure standard.
10. A storage medium, wherein a real-time ambulatory blood pressure monitoring program is stored on the storage medium, and the real-time ambulatory blood pressure monitoring program is configured to implement the following steps:
acquiring the dynamic blood pressure of a preset monitoring position of a monitored user, and calibrating the dynamic blood pressure in real time to obtain the calibrated dynamic blood pressure;
acquiring a blood pressure influence item of the monitored user, and inputting the blood pressure influence item into a preset health model to obtain a blood pressure fluctuation range corresponding to the monitored user;
judging whether the calibrated dynamic blood pressure meets a preset blood pressure standard or not according to the blood pressure fluctuation range corresponding to the monitored user;
and sending preset warning information when the calibrated dynamic blood pressure does not meet the preset blood pressure standard.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114209295A (en) * | 2021-12-14 | 2022-03-22 | 平安国际智慧城市科技股份有限公司 | Information display method, information display device, computer equipment and medium |
| CN114903457A (en) * | 2022-05-10 | 2022-08-16 | 湖北智奥物联网科技有限公司 | Dynamic blood pressure monitoring device and system with positive and negative correlation of human physiological parameters |
| CN115944282A (en) * | 2022-12-26 | 2023-04-11 | 出门问问信息科技有限公司 | Method, device and equipment for determining physiological characteristic value and storage medium |
-
2021
- 2021-06-30 CN CN202110746791.2A patent/CN113499046A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114209295A (en) * | 2021-12-14 | 2022-03-22 | 平安国际智慧城市科技股份有限公司 | Information display method, information display device, computer equipment and medium |
| CN114209295B (en) * | 2021-12-14 | 2024-06-07 | 平安国际智慧城市科技股份有限公司 | Information display method, device, computer equipment and medium |
| CN114903457A (en) * | 2022-05-10 | 2022-08-16 | 湖北智奥物联网科技有限公司 | Dynamic blood pressure monitoring device and system with positive and negative correlation of human physiological parameters |
| CN115944282A (en) * | 2022-12-26 | 2023-04-11 | 出门问问信息科技有限公司 | Method, device and equipment for determining physiological characteristic value and storage medium |
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