CN117423457A - Remote health monitoring method and system thereof - Google Patents
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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Abstract
The application relates to the technical field of data processing, and discloses a remote health monitoring method and a system thereof, wherein the method comprises the following steps: acquiring a first blood pressure value and a second blood pressure value of the user measured in a preset time; calculating a systolic pressure difference value based on the first systolic pressure value and the second systolic pressure value, and calculating a diastolic pressure difference value based on the first diastolic pressure value and the second diastolic pressure value; acquiring a health assessment model based on age information of a user; based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, the health state of the user is evaluated, and the health evaluation result of the user is obtained. According to the remote health monitoring method, the blood pressure values are collected through the various sensors, and the blood pressure values of the users are quantified by combining the health assessment model determined by the age information of the users, so that accurate health monitoring of the users at different age groups is realized, and the accuracy of remote monitoring of the blood pressure health states of the users is improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a remote health monitoring method and a system thereof.
Background
Along with the improvement of living standard, people have higher and higher attention to health, and more people choose to ensure the health of the body in a sport mode. Current remote health monitoring devices typically utilize a method of measuring bioelectrical impedance to remotely monitor health of a user, i.e., to remotely monitor health of a user by measuring pulse modulation of the user singly. The health state of the user cannot be quantitatively evaluated according to the age and the blood pressure value of the user, so that the health state of the user cannot be accurately monitored.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the related art. Therefore, the embodiment of the application provides the remote health monitoring method and the system thereof, which can improve the accuracy of remote monitoring of the blood pressure health state of the user.
In a first aspect, an embodiment of the present application provides a remote health monitoring method, which is applied to a remote health monitoring device, wherein a vibration sensor and an optical heart rate sensor are installed in the remote health monitoring device, the remote health monitoring device is worn on a wrist or an ankle of a user, and the remote health monitoring method includes:
acquiring a first blood pressure value and a second blood pressure value of the user measured in a preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
Calculating a systolic pressure differential value based on the first systolic pressure value and the second systolic pressure value, and calculating a diastolic pressure differential value based on the first diastolic pressure value and the second diastolic pressure value;
acquiring a health assessment model based on age information of the user;
and based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, evaluating the health state of the user to obtain a health evaluation result of the user.
In a second aspect, embodiments of the present application provide a remote health monitoring system, which is applied to a remote health monitoring device, in which a vibration sensor and an optical heart rate sensor are installed, the remote health monitoring device is worn on a wrist or ankle of a user, and the remote health monitoring system includes:
the first acquisition module is used for acquiring a first blood pressure value and a second blood pressure value of the user measured in preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
The operation module is used for calculating a systolic pressure difference value based on the first systolic pressure value and the second systolic pressure value and calculating a diastolic pressure difference value based on the first diastolic pressure value and the second diastolic pressure value;
the second acquisition module is used for acquiring a health assessment model based on the age information of the user;
and the health evaluation module is used for evaluating the health state of the user based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value to obtain a health evaluation result of the user.
In a third aspect, embodiments of the present application further provide a wearable device, including a memory storing a plurality of instructions; the processor loads instructions from the memory to perform any of the remote health monitoring methods provided by the embodiments of the present application.
In a fourth aspect, embodiments of the present application further provide a computer-readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform any of the remote health monitoring methods provided by the embodiments of the present application.
In a fifth aspect, embodiments of the present application also provide a computer program product comprising a computer program or instructions which, when executed by a processor, implement any of the remote health monitoring methods provided by the embodiments of the present application.
According to the blood pressure value acquisition method and device, the blood pressure value is acquired through the various sensors, and then the blood pressure value of the user is quantified by combining the health evaluation model determined by the age information of the user, so that accurate health monitoring is carried out on the users of different age groups, and the accuracy of remote monitoring of the blood pressure health state of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a remote health monitoring method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a remote health monitoring system provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a wearable device provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application. Meanwhile, in the description of the embodiments of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance. Thus, features defining "first", "second" may explicitly or implicitly include one or more features. In the description of the embodiments of the present application, the meaning of "" "is two or more, unless specifically defined otherwise.
The embodiment of the application provides a remote health monitoring method and a system thereof. In particular, embodiments of the present application will be described from the perspective of a remote health monitoring system, which may in particular be integrated in a wearable device, i.e. the remote health monitoring method of embodiments of the present application may be performed by the wearable device. Optionally, the wearable device includes a terminal device. The terminal device may be a mobile phone, a tablet computer, a smart bluetooth device, a notebook computer, a game console, or a personal computer (Personal Computer, PC), etc. Optionally, the wearable device includes a server, and the server may be a stand-alone server, or may be a server network or a server cluster formed by servers, including but not limited to a computer, a network host, a single network server, a network server set, or a cloud server formed by servers. Wherein the Cloud server is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing).
The following description of the embodiments is not intended to limit the preferred embodiments. Although a logical order is depicted in the flowchart, in some cases the steps shown or described may be performed in an order different than depicted in the figures. The embodiment of the application uses a remote health monitoring system as an execution subject for illustration, and the following detailed description is respectively given with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flow chart of a remote health monitoring method provided in an embodiment of the present application. The specific flow of the remote health monitoring method provided in the embodiment of the present application includes steps 101 to 104, including:
step 101, obtaining a first blood pressure value and a second blood pressure value of the user measured in a preset time;
it should be noted that, the remote health monitoring method of the embodiment of the application is applied to a remote health monitoring device, in which a vibration sensor and an optical heart rate sensor are installed, and the remote health monitoring device is worn on the wrist or ankle of a user, and the remote health monitoring device is an electronic wristband or an electronic foot ring.
Specifically, when remote health monitoring is required for a wearing user of the remote health monitoring device, a remote monitoring instruction needs to be sent to the remote health monitoring system. Therefore, after the remote health monitoring system receives the remote monitoring instruction, the first systolic pressure value of the user, the second systolic pressure value, the first diastolic pressure value, the second diastolic pressure value, the first systolic pressure value and the second systolic pressure value are obtained, wherein the first systolic pressure value and the second systolic pressure value are determined to be the first blood pressure value, and the first diastolic pressure value and the second diastolic pressure value are determined to be the second blood pressure value.
Step 102, calculating a systolic blood pressure difference value based on the first systolic blood pressure value and the second systolic blood pressure value, and calculating a diastolic blood pressure difference value based on the first diastolic blood pressure value and the second diastolic blood pressure value.
Optionally, the remote health monitoring system calculates a differential systolic pressure value according to the first systolic pressure value and the second systolic pressure value, wherein the specific process of calculating the differential pressure value is as follows:
the remote health monitoring system multiplies the second contraction pressure value by the first contraction pressure value to obtain a first product, multiplies the first contraction pressure value by the logarithm to obtain a second product, and adds the logarithm of the second contraction pressure value to the logarithm of the first contraction pressure value to obtain a first sum;
optionally, the remote health monitoring system multiplies a result obtained by calculating the quotient value of the first product and the second product by the first sum value to obtain a systolic pressure difference value, wherein the systolic pressure difference value is used for representing the difference between the first systolic pressure value and the second systolic pressure value, and a calculation formula of the systolic pressure difference value is as follows:
S 1 ＝{(O 1 *log 2 O 2 )/(O 2 *log 2 O 1 )}*(log 2 O 1 +log 2 O 2 )
wherein S is 1 For differential systolic pressure, O 1 For the first systolic pressure value, O 2 Is the second systolic blood pressure value.
Optionally, the remote health monitoring system calculates a diastolic blood pressure difference value according to the first diastolic blood pressure value and the second diastolic blood pressure value, and the specific process of calculating the diastolic blood pressure difference value is as follows:
the remote health monitoring system multiplies the second diastolic pressure value by the first diastolic pressure value to obtain a third product, multiplies the first diastolic pressure value by the logarithm to obtain a fourth product, and adds the second diastolic pressure value by the logarithm to the first diastolic pressure value to obtain a second sum;
optionally, the remote health monitoring system multiplies a result obtained by calculating the quotient of the third product and the fourth product by a plurality of Hu Di sums to obtain a diastolic blood pressure difference value, wherein the diastolic blood pressure difference value is used for representing the difference between the first diastolic blood pressure value and the second diastolic blood pressure value, and a calculation formula of the diastolic blood pressure difference value is as follows:
S 2 ＝{(P 1 *log 2 P 2 )/(P 2 *log 2 P 1 )}*(log 2 P 1 +log 2 P 2 )
wherein S is 2 For the diastolic blood pressure difference value, P 1 For a first diastolic pressure value, P 2 Is the second diastolic blood pressure value.
And step 103, acquiring a health assessment model based on the age information of the user.
Optionally, the remote health monitoring system acquires age information pre-recorded by the user, wherein the age information is the age of the user. Optionally, the remote health monitoring system obtains the health assessment model according to age information of the user, and the specific process is as follows:
If the age information determines that the age of the user is less than or equal to 14, the remote health monitoring system acquires a first-level health assessment model, wherein the first-level health assessment model is as follows:
loss1＝-Σ{(S 1 *logS 2 )*(S 2 *logS 1 )}
if the age information of the user is determined to be greater than 14 and less than or equal to 45, the remote health monitoring system acquires a second-level health assessment model, wherein the second-level health assessment model is as follows:
if the age information of the user is greater than 45, the remote health monitoring system acquires a third-level health assessment model, wherein the third-level health assessment model is as follows:
wherein loss1 is a first-level health evaluation model, loss2 is a second-level health evaluation model, loss3 is a third-level health evaluation model, S 1 For the differential value of the systolic blood pressure, S 2 And epsilon is a preset regulating coefficient for the diastolic blood pressure difference value. It should be noted that, the first level health evaluation model, the second level health evaluation model and the third level health evaluation model are all recorded in advance, and each level health evaluation model and age information thereof are bound while being recorded, so that a mapping relationship is established, and therefore, the level health evaluation model can be obtained only by combining the mapping relationship according to age information of a user.
And 104, based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, evaluating the health state of the user to obtain a health evaluation result of the user.
Optionally, the remote health monitoring system inputs the systolic pressure difference value and the diastolic pressure difference value into the health evaluation model to obtain a model output result output by the health evaluation model. Optionally, the remote health monitoring system evaluates the health state of the user according to the model output result to obtain a health evaluation result of the user, wherein the health evaluation result of the user is a final blood pressure value of the user, namely a final systolic pressure value and a final diastolic pressure value. The specific process for obtaining the health evaluation result of the user is as follows:
the first case is that the health assessment model is a first level health assessment model:
if the health assessment model is determined to be the first-level health assessment model, the remote health monitoring system inputs the systolic pressure difference value and the diastolic pressure difference value into the first-level health assessment model for assessment.
Optionally, the remote health monitoring system obtains a first model output result of the first level health evaluation model until the continuous preset times of the first model output result are the same, and determines the first model output result as the health evaluation result of the user, wherein the preset times are set according to the actual setting.
The second case is that the health assessment model is a second-level health assessment model:
if the health assessment model is determined to be the second-level health assessment model, the remote health monitoring system inputs the systolic pressure difference value and the diastolic pressure difference value into the second-level health assessment model for assessment.
Optionally, the remote health monitoring system obtains second model output results of the second level health assessment model until a polarization degree value between two adjacent second model output results is smaller than a preset threshold, and an average value of the two adjacent second model output results is determined as a health assessment result of the user, wherein the preset threshold is set according to the actual setting, and a calculation formula of the polarization degree value between the two adjacent second model output results is as follows:
wherein A is the polarization degree value between the output results of two adjacent second models, loss2 t And loss2 t-1 And outputting results for two adjacent second models respectively.
The third case is that the health assessment model is a third-level health assessment model:
if the health evaluation model is determined to be the third-level health evaluation model, the remote health monitoring system inputs the systolic pressure difference value and the diastolic pressure difference value into the third-level health evaluation model for evaluation.
Optionally, the remote health monitoring system obtains third model output results of the third-level health assessment model until an increase value of two adjacent third model output results is smaller than 0.1, and determining an average value of the two adjacent third model output results as the health assessment result of the user, wherein a calculation formula of the increase value of the two adjacent third model output results is as follows:
wherein H is the increment value of the output results of two adjacent third models, loss3 t And loss3 t-1 Respectively outputting results for two adjacent third models
According to the blood pressure value acquisition method and device, the blood pressure value is acquired through the various sensors, and then the blood pressure value of the user is quantified by combining the health evaluation model determined by the age information of the user, so that accurate health monitoring is carried out on the users of different age groups, and the accuracy of remote monitoring of the blood pressure health state of the user is improved.
The following describes the remote health monitoring system provided in the embodiments of the present application, and the remote health monitoring system described below and the remote health monitoring method described above may be referred to correspondingly. Referring to fig. 2, fig. 2 is a schematic structural diagram of a remote health monitoring system provided in an embodiment of the present application, where the remote health monitoring system is applied to a remote health monitoring device, and a vibration sensor and an optical heart rate sensor are installed in the remote health monitoring device, and the remote health monitoring device is worn on a wrist or ankle of a user, and may include:
A first obtaining module 201, configured to obtain a first blood pressure value and a second blood pressure value of the user measured in a preset time; the first blood pressure value comprises a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
an operation module 202 for calculating a systolic blood pressure difference value based on the first systolic blood pressure value and the second systolic blood pressure value, and calculating a diastolic blood pressure difference value based on the first diastolic blood pressure value and the second diastolic blood pressure value;
a second obtaining module 203, configured to obtain a health assessment model based on age information of the user;
the health evaluation module 204 is configured to evaluate the health status of the user based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, and obtain a health evaluation result of the user.
According to the blood pressure value acquisition method and device, the blood pressure value is acquired through the various sensors, and then the blood pressure value of the user is quantified by combining the health evaluation model determined by the age information of the user, so that accurate health monitoring is carried out on the users of different age groups, and the accuracy of remote monitoring of the blood pressure health state of the user is improved.
In an alternative example, the operation module 202 is further configured to:
multiplying the second contraction pressure value by the first contraction pressure value to obtain a first product, multiplying the first contraction pressure value by the second contraction pressure value to obtain a second product, and adding the second contraction pressure value by the logarithm to the first contraction pressure value to obtain a first sum;
multiplying the result obtained by calculating the quotient of the first product and the second product by the first sum value to obtain the differential systolic pressure value; the differential systolic pressure value is used to characterize the difference between the first and second systolic pressure values;
the calculation formula of the differential systolic pressure value is as follows:
S 1 ＝{(O 1 *log 2 O 2 )/(O 2 *log 2 O 1 )}*(log 2 O 1 +log 2 O 2 )
wherein S is 1 For differential systolic pressure, O 1 For the first systolic pressure value, O 2 Is the second systolic blood pressure value.
In an alternative example, the operation module 202 is further configured to:
multiplying the second diastolic pressure value by the first diastolic pressure value to obtain a third product, multiplying the first diastolic pressure value by the second diastolic pressure value to obtain a fourth product, and adding the second diastolic pressure value by the second diastolic pressure value to the first diastolic pressure value to obtain a second sum;
Multiplying the result obtained by the quotient calculation of the third product and the fourth product by a plurality of Hu Di sums to obtain the diastolic blood pressure difference value; the diastolic blood pressure difference value is used to characterize a difference between the first diastolic blood pressure value and the second diastolic blood pressure value;
the calculation formula of the diastolic blood pressure difference value is as follows:
S 2 ＝{(P 1 *log 2 P 2 )/(P 2 *log 2 P 1 )}*(log 2 P 1 +log 2 P 2 )
wherein S is 2 For the diastolic blood pressure difference value, P 1 For a first diastolic pressure value, P 2 Is the second diastolic blood pressure value.
In an alternative example, the second acquisition module 203 is further configured to:
if the age information determines that the age of the user is less than or equal to 14, a first-level health assessment model is acquired, wherein the first-level health assessment model is as follows:
loss1＝-Σ{(S 1 *logS 2 )*(S 2 *logS 1 )}
if the age information of the user is determined to be greater than 14 and less than or equal to 45, a second-level health assessment model is acquired, wherein the second-level health assessment model is as follows:
if the age information is determined that the age of the user is greater than 45, a third-level health assessment model is acquired, wherein the third-level health assessment model is as follows:
wherein loss1 is a first-level health evaluation model, loss2 is a second-level health evaluation model, loss3 is a third-level health evaluation model, S 1 For the differential value of the systolic blood pressure, S 2 And epsilon is a preset regulating coefficient for the diastolic blood pressure difference value.
In an alternative example, the health assessment module 204 is further to:
if the health evaluation model is determined to be a first-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the first-level health evaluation model for evaluation;
and obtaining a first model output result of the first-level health assessment model until the continuous preset times of the first model output result are the same, and determining the first model output result as the health assessment result of the user.
In an alternative example, the health assessment module 204 is further to:
if the health assessment model is determined to be a second-level health assessment model, inputting the systolic pressure difference value and the diastolic pressure difference value into the second-level health assessment model for assessment;
obtaining second model output results of the second-level health evaluation model until the polarization degree value between two adjacent second model output results is smaller than a preset threshold value, and determining the average value of the two adjacent second model output results as the health evaluation result of the user;
The calculation formula of the polarization degree value between the output results of two adjacent second models is as follows:
wherein A is the polarization degree value between the output results of two adjacent second models, loss2 t And loss2 t-1 And outputting results for two adjacent second models respectively.
In an alternative example, the health assessment module 204 is further to:
if the health evaluation model is determined to be a third-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the third-level health evaluation model for evaluation;
obtaining third model output results of the third-level health evaluation model until the increment value of two adjacent third model output results is smaller than 0.1, and determining the average value of the two adjacent third model output results as the health evaluation result of the user;
the calculation formula of the increment value of the output results of the adjacent two third models is as follows:
wherein H is the increment value of the output results of two adjacent third models, loss3 t And loss3 t-1 And outputting results for two adjacent third models respectively.
The specific embodiments of the remote health monitoring system provided in the present application are substantially the same as the embodiments of the remote health monitoring method, and are not described herein.
Optionally, as shown in fig. 3, fig. 3 is a schematic structural diagram of a wearable device provided in an embodiment of the present application. The wearable device comprises at least a remote health monitoring system 10, a vibration sensor 20 and an optical heart rate sensor 30.
Optionally, as shown in fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include: processor 410, communication interface (Communication Interface) 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other via communication bus 440. The processor 410 may call a computer program in the memory 430 to perform the steps of a remote health monitoring method, for example, including:
acquiring a first blood pressure value and a second blood pressure value of the user measured in a preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
Calculating a systolic pressure differential value based on the first systolic pressure value and the second systolic pressure value, and calculating a diastolic pressure differential value based on the first diastolic pressure value and the second diastolic pressure value;
acquiring a health assessment model based on age information of the user;
and based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, evaluating the health state of the user to obtain a health evaluation result of the user.
In an alternative example, calculating a systolic blood pressure differential value based on the first systolic blood pressure value and the second systolic blood pressure value includes:
multiplying the second contraction pressure value by the first contraction pressure value to obtain a first product, multiplying the first contraction pressure value by the second contraction pressure value to obtain a second product, and adding the second contraction pressure value by the logarithm to the first contraction pressure value to obtain a first sum;
multiplying the result obtained by calculating the quotient of the first product and the second product by the first sum value to obtain the differential systolic pressure value; the differential systolic pressure value is used to characterize the difference between the first and second systolic pressure values;
The calculation formula of the differential systolic pressure value is as follows:
S 1 ＝{(O 1 *log 2 O 2 )/(O 2 *log 2 O 1 )}*(log 2 O 1 +log 2 O 2 )
wherein S is 1 For differential systolic pressure, O 1 For the first systolic pressure value, O 2 Is the second systolic blood pressure value.
In an alternative example, calculating a diastolic blood pressure difference value based on the first diastolic blood pressure value and the second diastolic blood pressure value includes:
multiplying the second diastolic pressure value by the first diastolic pressure value to obtain a third product, multiplying the first diastolic pressure value by the second diastolic pressure value to obtain a fourth product, and adding the second diastolic pressure value by the second diastolic pressure value to the first diastolic pressure value to obtain a second sum;
multiplying the result obtained by the quotient calculation of the third product and the fourth product by a plurality of Hu Di sums to obtain the diastolic blood pressure difference value; the diastolic blood pressure difference value is used to characterize a difference between the first diastolic blood pressure value and the second diastolic blood pressure value;
the calculation formula of the diastolic blood pressure difference value is as follows:
S 2 ＝{(P 1 *log 2 P 2 )/(P 2 *log 2 P 1 )}*(log 2 P 1 +log 2 P 2 )
wherein S is 2 For the diastolic blood pressure difference value, P 1 For a first diastolic pressure value, P 2 Is the second diastolic blood pressure value.
In an alternative example, obtaining a health assessment model based on age information of the user includes:
If the age information determines that the age of the user is less than or equal to 14, a first-level health assessment model is acquired, wherein the first-level health assessment model is as follows:
loss1＝-Σ{(S 1 *logS 2 )*(S 2 *logS 1 )}
if the age information of the user is determined to be greater than 14 and less than or equal to 45, a second-level health assessment model is acquired, wherein the second-level health assessment model is as follows:
if the age information is determined that the age of the user is greater than 45, a third-level health assessment model is acquired, wherein the third-level health assessment model is as follows:
wherein loss1 is a first-level health evaluation model, loss2 is a second-level health evaluation model, loss3 is a third-level health evaluation model, S 1 For the differential value of the systolic blood pressure, S 2 And epsilon is a preset regulating coefficient for the diastolic blood pressure difference value.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health evaluation model is determined to be a first-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the first-level health evaluation model for evaluation;
And obtaining a first model output result of the first-level health assessment model until the continuous preset times of the first model output result are the same, and determining the first model output result as the health assessment result of the user.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health assessment model is determined to be a second-level health assessment model, inputting the systolic pressure difference value and the diastolic pressure difference value into the second-level health assessment model for assessment;
obtaining second model output results of the second-level health evaluation model until the polarization degree value between two adjacent second model output results is smaller than a preset threshold value, and determining the average value of the two adjacent second model output results as the health evaluation result of the user;
the calculation formula of the polarization degree value between the output results of two adjacent second models is as follows:
wherein A is the polarization degree value between the output results of two adjacent second models, loss2 t And loss2 t-1 And outputting results for two adjacent second models respectively.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health evaluation model is determined to be a third-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the third-level health evaluation model for evaluation;
obtaining third model output results of the third-level health evaluation model until the increment value of two adjacent third model output results is smaller than 0.1, and determining the average value of the two adjacent third model output results as the health evaluation result of the user;
the calculation formula of the increment value of the output results of the adjacent two third models is as follows:
wherein H is the increment value of the output results of two adjacent third models, loss3 t And loss3 t-1 And outputting results for two adjacent third models respectively.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present application further provide a non-transitory computer readable storage medium, where the non-transitory computer readable storage medium includes a computer program, where the computer program may be stored on the non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer program may be capable of executing the steps of the remote health monitoring method provided in the foregoing embodiments, for example, including:
acquiring a first blood pressure value and a second blood pressure value of the user measured in a preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
calculating a systolic pressure differential value based on the first systolic pressure value and the second systolic pressure value, and calculating a diastolic pressure differential value based on the first diastolic pressure value and the second diastolic pressure value;
acquiring a health assessment model based on age information of the user;
and based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, evaluating the health state of the user to obtain a health evaluation result of the user.
In an alternative example, calculating a systolic blood pressure differential value based on the first systolic blood pressure value and the second systolic blood pressure value includes:
multiplying the second contraction pressure value by the first contraction pressure value to obtain a first product, multiplying the first contraction pressure value by the second contraction pressure value to obtain a second product, and adding the second contraction pressure value by the logarithm to the first contraction pressure value to obtain a first sum;
multiplying the result obtained by calculating the quotient of the first product and the second product by the first sum value to obtain the differential systolic pressure value; the differential systolic pressure value is used to characterize the difference between the first and second systolic pressure values;
the calculation formula of the differential systolic pressure value is as follows:
S 1 ＝{(O 1 *log 2 O 2 )/(O 2 *log 2 O 1 )}*(log 2 O 1 +log 2 O 2 )
wherein S is 1 For differential systolic pressure, O 1 For the first systolic pressure value, O 2 Is the second systolic blood pressure value.
In an alternative example, calculating a diastolic blood pressure difference value based on the first diastolic blood pressure value and the second diastolic blood pressure value includes:
multiplying the second diastolic pressure value by the first diastolic pressure value to obtain a third product, multiplying the first diastolic pressure value by the second diastolic pressure value to obtain a fourth product, and adding the second diastolic pressure value by the second diastolic pressure value to the first diastolic pressure value to obtain a second sum;
Multiplying the result obtained by the quotient calculation of the third product and the fourth product by a plurality of Hu Di sums to obtain the diastolic blood pressure difference value; the diastolic blood pressure difference value is used to characterize a difference between the first diastolic blood pressure value and the second diastolic blood pressure value;
the calculation formula of the diastolic blood pressure difference value is as follows:
S 2 ＝{(P 1 *log 2 P 2 )/(P 2 *log 2 P 1 )}*(log 2 P 1 +log 2 P 2 )
wherein S is 2 For the diastolic blood pressure difference value, P 1 For a first diastolic pressure value, P 2 Is the second diastolic blood pressure value.
In an alternative example, obtaining a health assessment model based on age information of the user includes:
if the age information determines that the age of the user is less than or equal to 14, a first-level health assessment model is acquired, wherein the first-level health assessment model is as follows:
loss1＝-Σ{(S 1 *logS 2 )*(S 2 *logS 1 )}
if the age information of the user is determined to be greater than 14 and less than or equal to 45, a second-level health assessment model is acquired, wherein the second-level health assessment model is as follows:
if the age information is determined that the age of the user is greater than 45, a third-level health assessment model is acquired, wherein the third-level health assessment model is as follows:
/>
wherein loss1 is a first-level health evaluation model, loss2 is a second-level health evaluation model, loss3 is a third-level health evaluation model, S 1 For the differential value of the systolic blood pressure, S 2 And epsilon is a preset regulating coefficient for the diastolic blood pressure difference value.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health evaluation model is determined to be a first-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the first-level health evaluation model for evaluation;
and obtaining a first model output result of the first-level health assessment model until the continuous preset times of the first model output result are the same, and determining the first model output result as the health assessment result of the user.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health assessment model is determined to be a second-level health assessment model, inputting the systolic pressure difference value and the diastolic pressure difference value into the second-level health assessment model for assessment;
Obtaining second model output results of the second-level health evaluation model until the polarization degree value between two adjacent second model output results is smaller than a preset threshold value, and determining the average value of the two adjacent second model output results as the health evaluation result of the user;
the calculation formula of the polarization degree value between the output results of two adjacent second models is as follows:
wherein A is the polarization degree value between the output results of two adjacent second models, loss2 t And loss2 t-1 And outputting results for two adjacent second models respectively.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health evaluation model is determined to be a third-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the third-level health evaluation model for evaluation;
obtaining third model output results of the third-level health evaluation model until the increment value of two adjacent third model output results is smaller than 0.1, and determining the average value of the two adjacent third model output results as the health evaluation result of the user;
The calculation formula of the increment value of the output results of the adjacent two third models is as follows:
wherein H is the increment value of the output results of two adjacent third models, loss3 t And loss3 t-1 And outputting results for two adjacent third models respectively.
In yet another aspect, embodiments of the present application further provide a computer product, where the computer product includes a computer program, where the computer program may be stored on the computer product, and when the computer program is executed by a processor, the computer is capable of executing the steps of the remote health monitoring method provided in the foregoing embodiments, for example, including:
acquiring a first blood pressure value and a second blood pressure value of the user measured in a preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
calculating a systolic pressure differential value based on the first systolic pressure value and the second systolic pressure value, and calculating a diastolic pressure differential value based on the first diastolic pressure value and the second diastolic pressure value;
Acquiring a health assessment model based on age information of the user;
and based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, evaluating the health state of the user to obtain a health evaluation result of the user.
In an alternative example, calculating a systolic blood pressure differential value based on the first systolic blood pressure value and the second systolic blood pressure value includes:
multiplying the second contraction pressure value by the first contraction pressure value to obtain a first product, multiplying the first contraction pressure value by the second contraction pressure value to obtain a second product, and adding the second contraction pressure value by the logarithm to the first contraction pressure value to obtain a first sum;
multiplying the result obtained by calculating the quotient of the first product and the second product by the first sum value to obtain the differential systolic pressure value; the differential systolic pressure value is used to characterize the difference between the first and second systolic pressure values;
the calculation formula of the differential systolic pressure value is as follows:
S 1 ＝{(O 1 *log 2 O 2 )/(O 2 *log 2 O 1 )}*(log 2 O 1 +log 2 O 2 )
wherein S is 1 For differential systolic pressure, O 1 For the first systolic pressure value, O 2 Is the second systolic blood pressure value.
In an alternative example, calculating a diastolic blood pressure difference value based on the first diastolic blood pressure value and the second diastolic blood pressure value includes:
multiplying the second diastolic pressure value by the first diastolic pressure value to obtain a third product, multiplying the first diastolic pressure value by the second diastolic pressure value to obtain a fourth product, and adding the second diastolic pressure value by the second diastolic pressure value to the first diastolic pressure value to obtain a second sum;
multiplying the result obtained by the quotient calculation of the third product and the fourth product by a plurality of Hu Di sums to obtain the diastolic blood pressure difference value; the diastolic blood pressure difference value is used to characterize a difference between the first diastolic blood pressure value and the second diastolic blood pressure value;
the calculation formula of the diastolic blood pressure difference value is as follows:
S 2 ＝{(P 1 *log 2 P 2 )/(P 2 *log 2 P 1 )}*(log 2 P 1 +log 2 P 2 )
wherein S is 2 For the diastolic blood pressure difference value, P 1 For a first diastolic pressure value, P 2 Is the second diastolic blood pressure value.
In an alternative example, obtaining a health assessment model based on age information of the user includes:
if the age information determines that the age of the user is less than or equal to 14, a first-level health assessment model is acquired, wherein the first-level health assessment model is as follows:
loss1＝-∑{(S 1 *logS 2 )*(S 2 *logS 1 )}
If the age information of the user is determined to be greater than 14 and less than or equal to 45, a second-level health assessment model is acquired, wherein the second-level health assessment model is as follows:
if the age information is determined that the age of the user is greater than 45, a third-level health assessment model is acquired, wherein the third-level health assessment model is as follows:
/>
wherein loss1 is a first-level health evaluation model, loss2 is a second-level health evaluation model, loss3 is a third-level health evaluation model, S 1 For the differential value of the systolic blood pressure, S 2 And epsilon is a preset regulating coefficient for the diastolic blood pressure difference value.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health evaluation model is determined to be a first-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the first-level health evaluation model for evaluation;
and obtaining a first model output result of the first-level health assessment model until the continuous preset times of the first model output result are the same, and determining the first model output result as the health assessment result of the user.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
if the health assessment model is determined to be a second-level health assessment model, inputting the systolic pressure difference value and the diastolic pressure difference value into the second-level health assessment model for assessment;
obtaining second model output results of the second-level health evaluation model until the polarization degree value between two adjacent second model output results is smaller than a preset threshold value, and determining the average value of the two adjacent second model output results as the health evaluation result of the user;
the calculation formula of the polarization degree value between the output results of two adjacent second models is as follows:
wherein A is the polarization degree value between the output results of two adjacent second models, loss2 t And loss2 t-1 And outputting results for two adjacent second models respectively.
In an alternative example, based on the health assessment model, the systolic pressure difference value and the diastolic pressure difference value, the health status of the user is assessed, and a health assessment result of the user is obtained, including:
If the health evaluation model is determined to be a third-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the third-level health evaluation model for evaluation;
obtaining third model output results of the third-level health evaluation model until the increment value of two adjacent third model output results is smaller than 0.1, and determining the average value of the two adjacent third model output results as the health evaluation result of the user;
the calculation formula of the increment value of the output results of the adjacent two third models is as follows:
wherein H is the increment value of the output results of two adjacent third models, loss3 t And loss3 t-1 And outputting results for two adjacent third models respectively.
The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A remote health monitoring method applied to a remote health monitoring device, wherein a vibration sensor and an optical heart rate sensor are installed in the remote health monitoring device, and the remote health monitoring device is worn on a wrist or ankle of a user, the remote health monitoring method comprises the following steps:
acquiring a first blood pressure value and a second blood pressure value of the user measured in a preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
calculating a systolic pressure differential value based on the first systolic pressure value and the second systolic pressure value, and calculating a diastolic pressure differential value based on the first diastolic pressure value and the second diastolic pressure value;
acquiring a health assessment model based on age information of the user;
and based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value, evaluating the health state of the user to obtain a health evaluation result of the user.
2. The remote health monitoring method of claim 1, wherein the calculating a differential systolic pressure value based on the first systolic pressure value and the second systolic pressure value comprises:
multiplying the second contraction pressure value by the first contraction pressure value to obtain a first product, multiplying the first contraction pressure value by the second contraction pressure value to obtain a second product, and adding the second contraction pressure value by the logarithm to the first contraction pressure value to obtain a first sum;
multiplying the result obtained by calculating the quotient of the first product and the second product by the first sum value to obtain the differential systolic pressure value; the differential systolic pressure value is used to characterize the difference between the first and second systolic pressure values;
the calculation formula of the differential systolic pressure value is as follows:
S 1 ＝{(O 1 *log 2 O 2 )/(O 2 *log 2 O 1 )}*(log 2 O 1 +log 2 O 2 )
wherein S is 1 For differential systolic pressure, O 1 For the first systolic pressure value, O 2 Is the second systolic blood pressure value.
3. The remote health monitoring method of claim 1, wherein the calculating a diastolic blood pressure difference value based on the first diastolic blood pressure value and the second diastolic blood pressure value comprises:
Multiplying the second diastolic pressure value by the first diastolic pressure value to obtain a third product, multiplying the first diastolic pressure value by the second diastolic pressure value to obtain a fourth product, and adding the second diastolic pressure value by the second diastolic pressure value to the first diastolic pressure value to obtain a second sum;
multiplying the result obtained by the quotient calculation of the third product and the fourth product by a plurality of Hu Di sums to obtain the diastolic blood pressure difference value; the diastolic blood pressure difference value is used to characterize a difference between the first diastolic blood pressure value and the second diastolic blood pressure value;
the calculation formula of the diastolic blood pressure difference value is as follows:
S 2 ＝{(P 1 *log 2 P 2 )/(P 2 *log 2 P 1 )}*(log 2 P 1 +log 2 P 2 )
wherein S is 2 For the diastolic blood pressure difference value, P 1 For a first diastolic pressure value, P 2 Is the second diastolic blood pressure value.
4. The remote health monitoring method of claim 1, wherein the obtaining a health assessment model based on age information of the user comprises:
if the age information determines that the age of the user is less than or equal to 14, a first-level health assessment model is acquired, wherein the first-level health assessment model is as follows:
loss1＝-∑{(S 1 *logS 2 )*(S 2 *logS 1 )}
if the age information of the user is determined to be greater than 14 and less than or equal to 45, a second-level health assessment model is acquired, wherein the second-level health assessment model is as follows:
If the age information is determined that the age of the user is greater than 45, a third-level health assessment model is acquired, wherein the third-level health assessment model is as follows:
wherein loss1 is a first-level health evaluation model, loss2 is a second-level health evaluation model, loss3 is a third-level health evaluation model, S 1 For the differential value of the systolic blood pressure, S 2 And epsilon is a preset regulating coefficient for the diastolic blood pressure difference value.
5. The method of claim 4, wherein the evaluating the health status of the user based on the health assessment model, the systolic blood pressure difference value, and the diastolic blood pressure difference value to obtain the health assessment result of the user comprises:
if the health evaluation model is determined to be a first-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the first-level health evaluation model for evaluation;
and obtaining a first model output result of the first-level health assessment model until the continuous preset times of the first model output result are the same, and determining the first model output result as the health assessment result of the user.
6. The method of claim 4, wherein the evaluating the health status of the user based on the health assessment model, the systolic blood pressure difference value, and the diastolic blood pressure difference value to obtain the health assessment result of the user comprises:
If the health assessment model is determined to be a second-level health assessment model, inputting the systolic pressure difference value and the diastolic pressure difference value into the second-level health assessment model for assessment;
obtaining second model output results of the second-level health evaluation model until the polarization degree value between two adjacent second model output results is smaller than a preset threshold value, and determining the average value of the two adjacent second model output results as the health evaluation result of the user;
the calculation formula of the polarization degree value between the output results of two adjacent second models is as follows:
wherein A is the polarization degree value between the output results of two adjacent second models, loss2 t And loss2 t-1 And outputting results for two adjacent second models respectively.
7. The method of claim 4, wherein the evaluating the health status of the user based on the health assessment model, the systolic blood pressure difference value, and the diastolic blood pressure difference value to obtain the health assessment result of the user comprises:
if the health evaluation model is determined to be a third-level health evaluation model, inputting the systolic pressure difference value and the diastolic pressure difference value into the third-level health evaluation model for evaluation;
Obtaining third model output results of the third-level health evaluation model until the increment value of two adjacent third model output results is smaller than 0.1, and determining the average value of the two adjacent third model output results as the health evaluation result of the user;
the calculation formula of the increment value of the output results of the adjacent two third models is as follows:
wherein H is the increment value of the output results of two adjacent third models, loss3 t And loss3 t-1 And outputting results for two adjacent third models respectively.
8. A remote health monitoring system applied to a remote health monitoring device, in which a vibration sensor and an optical heart rate sensor are installed, the remote health monitoring device being worn on a wrist or ankle of a user, the remote health monitoring system comprising:
the first acquisition module is used for acquiring a first blood pressure value and a second blood pressure value of the user measured in preset time; the first blood pressure value includes a first systolic pressure value measured based on the vibration sensor and a second systolic pressure value measured based on the optical heart rate sensor; the second blood pressure value includes a first diastolic pressure value based on the vibration sensor and a second diastolic pressure value based on the optical heart rate sensor;
The operation module is used for calculating a systolic pressure difference value based on the first systolic pressure value and the second systolic pressure value and calculating a diastolic pressure difference value based on the first diastolic pressure value and the second diastolic pressure value;
the second acquisition module is used for acquiring a health assessment model based on the age information of the user;
and the health evaluation module is used for evaluating the health state of the user based on the health evaluation model, the systolic pressure difference value and the diastolic pressure difference value to obtain a health evaluation result of the user.
9. A wearable device comprising a processor and a memory, the memory storing a plurality of instructions; the processor loads instructions from the memory to perform the remote health monitoring method of any of claims 1 to 7.
10. A computer readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the remote health monitoring method of any of claims 1 to 7.
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