CN110731766A - Health monitoring method and system - Google Patents
Health monitoring method and system Download PDFInfo
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- CN110731766A CN110731766A CN201810799574.8A CN201810799574A CN110731766A CN 110731766 A CN110731766 A CN 110731766A CN 201810799574 A CN201810799574 A CN 201810799574A CN 110731766 A CN110731766 A CN 110731766A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0531—Measuring skin impedance
Abstract
The invention relates to health monitoring methods, which comprise the steps of collecting physiological parameters of a user in real time, storing the physiological parameters, establishing a user health model according to the stored historical physiological parameters, wherein the user health model comprises physiological parameter indexes under the health state of the user, judging the level of the current physiological parameters of the user according to the physiological parameter indexes of the user health model, and judging the physical state of the user.
Description
Technical Field
The application relates to the technical field of physiological parameter detection, in particular to health monitoring methods and systems.
Background
With the development of physiological parameter detection technology, wearable devices are more and more in types, and particularly sports devices can record the motion condition of a user. The existing devices usually show the heart rate value or the number of steps at the current moment, or the calorie consumption and other information calculated by the heart rate value or the number of steps, and are mainly used for showing exercise conditions. The current monitoring method does not summarize and sort the data to establish a user health model, and when the data is abnormal, the data is simply recorded data.
Disclosure of Invention
In view of the above, there is a need to provide health monitoring methods and systems capable of summarizing and organizing data to build a user health model and alerting when the data is abnormal.
A health monitoring method, comprising:
collecting physiological parameters of a user in real time;
storing the physiological parameters, and establishing a user health model according to the stored historical physiological parameters, wherein the user health model comprises physiological parameter indexes in the user health state; and
and judging the level of the current user physiological parameter according to the physiological parameter index of the user health model, and judging the body state of the user.
In embodiments, the step of acquiring physiological parameters of the user in real time further comprises:
acquiring user identity information;
verifying whether the user identity information corresponds to the identity information pre-stored in the database;
if the identity information is consistent with identity information prestored in the database, acquiring physiological parameters of the user;
and if the identity information is not the same as the identity information prestored in the database, newly establishing user identity information and collecting the physiological parameters of the user.
In embodiments, the step of acquiring physiological parameters of the user in real time further comprises:
and preprocessing the physiological parameters to remove abnormal physiological parameters.
In embodiments, the pre-processing the physiological parameter includes smoothing and reducing the physiological parameter.
In embodiments, the method further comprises:
and updating the user health model periodically according to the acquired user physiological parameters to obtain updated physiological parameter indexes of the user in the health state.
In embodiments, the physiological parameters include at least of pulse, skin temperature, skin resistance, and number of steps.
In embodiments, the step of determining the level of the current physiological parameter of the user according to the physiological parameter indicator of the health model of the user and determining the physical state of the user further comprises:
and if the current user physiological parameter exceeds the range of the physiological parameter index, generating physiological parameter abnormity prompt information.
A health monitoring system, the system comprising:
the physiological parameter acquisition unit is used for acquiring the physiological parameters of the user in real time;
the processing unit is used for storing the physiological parameters and establishing a user health model according to the stored historical physiological parameters, wherein the user health model comprises physiological parameter indexes in the user health state; and judging the level of the current user physiological parameter according to the physiological parameter index of the user health model, and judging the body state of the user.
In embodiments, the physiological parameter collecting unit is a wearable device and/or the processing unit is a server.
In of these embodiments, the processing unit sends the level of the current user physiological parameter and the physical state condition of the user to the user terminal.
According to the health monitoring method and the health monitoring system, the physiological parameters of the user are collected and stored, the user health model is established according to the stored historical physiological parameters, the user health model comprises physiological parameter indexes of the user in a health state, and the health parameter model is sent to the terminal. Judging the level of the current physiological parameter of the user according to the physiological parameter index of the user health model, judging the physical state of the user, and if the current physiological parameter of the user exceeds the range of the physiological parameter index, generating physiological parameter abnormity prompt information to enable the user to know which physiological parameter has a problem, help the user to quickly find the problem, and enable the user to quickly make a response.
Drawings
FIG. 1 is a diagram of an application environment of the health monitoring method in embodiments;
FIG. 2 is a schematic representation of the operation of the health monitoring method in embodiments;
FIG. 3 is a schematic flow chart of a health monitoring method in embodiments;
FIG. 4 is a block diagram of the health monitoring system of embodiments;
FIG. 5 is a diagram showing the internal structure of a computer device in embodiments;
fig. 6 is an internal structural view of a computer device in another embodiments.
Detailed Description
For purposes of making the present application, its objects, aspects and advantages more apparent, the present application is described in further detail with reference to the drawings and the examples.
The health monitoring method provided by the application can be applied to the application environment shown in fig. 1. Wherein health monitoring device 106 and server 104 communicate over a network. The health monitoring device 106 collects physiological parameters of a user, sends the collected physiological parameters to the server 104, the server 104 receives the physiological parameters, stores the physiological parameters, and establishes a user health model according to the stored historical physiological parameters, the user health model comprises physiological parameter indexes of the user in a health state, the level of the current physiological parameters of the user is judged according to the physiological parameter indexes of the user health model, and the physical state of the user is judged.
The health monitoring method provided by the application can also be applied to an application environment as shown in fig. 2, wherein a health monitoring device 106 and a terminal 102 communicate through bluetooth, and the terminal 102 and a server 104 communicate through a network, the health monitoring device 106 collects physiological parameters of a user and sends the collected physiological parameters to the terminal 102, the terminal 102 sends the physiological parameters to the server 104, the server 104 receives the physiological parameters, stores the physiological parameters, and establishes a user health model according to the stored historical physiological parameters, the user health model comprises physiological parameter indexes under the health state of the user, the physiological parameter indexes of the current user are judged according to the physiological parameter indexes of the user health model, and the physical state of the user is judged.
In embodiments, as shown in fig. 4, health monitoring methods are provided, which are illustrated by way of example in the application environment of fig. 1, and include the following steps:
Wherein the physiological parameters comprise at least of pulse, skin temperature, skin resistance and step number.
Specifically, the user physiological parameters are collected in real time, and the user uses the health monitoring device 106 to collect the user physiological parameters and send the physiological parameters to the server. It is understood that the health monitoring device 106 may be a wearable device, a handheld device, or other devices, and only needs to acquire the physiological parameters of the user in real time.
The method also comprises the steps of preprocessing the physiological parameters and removing abnormal physiological parameters, wherein the preprocessing comprises classification method, smoothing method, abnormal data erasure or other methods, and in embodiments, the server performs smoothing and processing on the physiological parameters.
And the server receives and stores the physiological parameters, and establishes a user health model according to the stored historical physiological parameters, wherein the user health model comprises physiological parameter indexes in the user health state.
The method also comprises the steps of updating the user health model periodically according to the acquired user physiological parameters to obtain updated physiological parameter indexes under the user health state, and accurately measuring the health state of the user by continuously updating the physiological parameter indexes.
In embodiments, the user health model identifies the physiological parameter index in a color gradient manner from the middle value of the physiological parameter index to the outside of the physiological parameter index, so that the user can clearly and intuitively view the dynamic change of the physiological parameter, view the historical physiological parameter of the user and know the change of the physiological parameter.
And step 406, judging the level of the current physiological parameter of the user according to the physiological parameter index of the user health model, and judging the body state of the user.
In another embodiments, the server sends physiological parameter abnormity prompt information to the health monitoring device, and the health monitoring device prompts the user that the current physiological parameter exceeds the range of the physiological parameter index.
The health monitoring method further comprises:
acquiring user identity information;
verifying whether the user identity information corresponds to the identity information pre-stored in the database;
if the identity information is consistent with identity information prestored in the database, acquiring physiological parameters of the user;
and if the identity information is not the same as the identity information prestored in the database, newly establishing user identity information and collecting the physiological parameters of the user.
Specifically, if the identity information is not found to be prestored in the database, the user health model corresponding to the user identity information in the database can be extracted, the abnormality of the physiological parameter can be found more quickly, the user health model does not need to be established again, and only the user health model and/or the physiological parameter index needs to be adjusted according to the physiological parameter acquired in real time.
The health monitoring method further comprises:
and sending the user health model to a terminal.
Specifically, the server sends the user health model to a terminal.
In embodiments, the terminals are multiple terminals, and multiple terminals can receive the user health model and the alarm, and the holders of multiple terminals can view the user health model of the collected user, and when the current physiological parameter of the collected user is abnormal, multiple terminals will receive the physiological parameter abnormality prompt message, and the holder can help the collected user.
Further , the terminal is installed with a corresponding APP, which can display the preprocessed physiological parameters, when the network is connected, the user health model is updated in real time through the server, when the network is not connected, if the terminal is in communication connection with the health monitoring device, the terminal updates the user health model according to the physiological parameters sent by the health monitoring device.
In the health monitoring method, the health monitoring device acquires the physiological parameters of the user in real time and uploads the physiological parameters to the server. The server stores the physiological parameters, establishes a user health model according to the stored historical physiological parameters, the user health model comprises physiological parameter indexes under the health state of the user, and sends the health parameter model to the terminal. Judging the level of the current physiological parameter of the user according to the physiological parameter index of the user health model, judging the physical state of the user, and if the current physiological parameter of the user exceeds the range of the physiological parameter index, generating physiological parameter abnormity prompt information to enable the user to know which physiological parameter has a problem, help the user to quickly find the problem, and enable the user to quickly make a response.
It should be understood that although the various steps in the flowchart of fig. 4 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in the sequence indicated by the arrows, unless explicitly stated herein, the steps may be performed in other sequences without strict order limitations, and further, at least part of the steps in fig. 4 may include multiple sub-steps or stages that are not necessarily performed at the same time , but may be performed at different times, the order of performance of the sub-steps or stages may not necessarily be performed in sequence, but may be rotated or alternated with other steps or at least part of the sub-steps or stages of the other steps.
In embodiments, as shown in FIG. 4, health monitoring systems are provided, comprising a physiological parameter acquisition unit 510 and a processing unit 520, wherein:
the physiological parameter collecting unit 510 is used for collecting the physiological parameters of the user in real time.
The processing unit 520 is configured to store the physiological parameters, and establish a user health model according to the stored historical physiological parameters, where the user health model includes physiological parameter indicators in a user health state; and judging the level of the current user physiological parameter according to the physiological parameter index of the user health model, and judging the body state of the user.
In embodiments, the physiological parameter collecting unit 510 is a wearable device and/or the processing unit 520 is a server.
The processing unit 520 is further configured to pre-process the physiological parameters to remove abnormal physiological parameters, where the pre-processing of the physiological parameters includes smoothing and processing of the physiological parameters.
The processing unit 520 is further configured to update the user health model periodically according to the collected user physiological parameters, and obtain updated physiological parameter indexes of the user in the health state.
The processing unit 520 is further configured to generate a physiological parameter abnormality prompt message if the current user physiological parameter exceeds the range of the physiological parameter index.
The health monitoring system further comprises:
the identity verification unit 530 is used for acquiring user identity information, verifying whether the user identity information corresponds to identity information prestored in the database or not, acquiring the user physiological parameters if the identity information corresponds to identity information prestored in the database, and newly establishing user identity information and acquiring the user physiological parameters if the identity information does not correspond to identity information prestored in the database.
Specifically, if the identity information is not found to be prestored in the database, the user health model corresponding to the user identity information in the database can be extracted, the abnormality of the physiological parameter can be found more quickly, the user health model does not need to be established again, and only the user health model and/or the physiological parameter index needs to be adjusted according to the physiological parameter acquired in real time.
For specific limitations of the health monitoring system, reference may be made to the above limitations of the health monitoring method, which are not described herein in detail. The various elements of the health monitoring system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The units can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the units.
In embodiments, there are provided computer devices, which may be a server 104, the internal structure of which may be as shown in FIG. 5. the computer devices include a processor, a memory, a network interface, and a database connected by a system bus, wherein the processor of the computer device is used to provide computing and control capabilities.
In embodiments, computer devices are provided, which may be health monitoring apparatus 106, the internal structure of which may be as shown in FIG. 6, wherein the computer devices include a processor, a memory and a network interface connected by a system bus, wherein the processor of the computer devices is used to provide computing and control capabilities, the memory of the computer devices includes a non-volatile storage medium, an internal memory, the non-volatile storage medium stores an operating system and a computer program, the internal memory provides an environment for the operating system and the computer program to run in the non-volatile storage medium, the network interface of the computer devices is used to communicate with external terminal 102 and/or server 104 through a network connection, and the computer program is executed by the processor to implement health monitoring methods.
It will be appreciated by those skilled in the art that the configurations shown in fig. 5 and 6 are block diagrams of only some of the configurations relevant to the present disclosure, and do not constitute a limitation on the computing devices to which the present disclosure may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored in a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1, a health monitoring method comprising:
collecting physiological parameters of a user in real time;
storing the physiological parameters, and establishing a user health model according to the stored historical physiological parameters, wherein the user health model comprises physiological parameter indexes in the user health state; and
and judging the level of the current user physiological parameter according to the physiological parameter index of the user health model, and judging the body state of the user.
2. The method of claim 1, wherein the step of acquiring in real time the physiological parameters of the user further comprises:
acquiring user identity information;
verifying whether the user identity information corresponds to the identity information pre-stored in the database;
if the identity information is consistent with identity information prestored in the database, acquiring physiological parameters of the user;
and if the identity information is not the same as the identity information prestored in the database, newly establishing user identity information and collecting the physiological parameters of the user.
3. The method of claim 1, wherein the step of acquiring user physiological parameters in real time further comprises:
and preprocessing the physiological parameters to remove abnormal physiological parameters.
4. The method of claim 3, wherein preprocessing the physiological parameter comprises smoothing and normalizing the physiological parameter.
5. The method of any , further comprising:
and updating the user health model periodically according to the acquired user physiological parameters to obtain updated physiological parameter indexes of the user in the health state.
6. The method of claim 1, wherein the physiological parameter comprises at least of pulse, skin temperature, skin resistance, and number of steps.
7. The method of claim 1, wherein the step of determining the level of the current user physiological parameter based on the physiological parameter indicator of the user health model and determining the physical state of the user further comprises:
and if the current user physiological parameter exceeds the range of the physiological parameter index, generating physiological parameter abnormity prompt information.
A health monitoring system of the type 8, , said system comprising:
the physiological parameter acquisition unit is used for acquiring the physiological parameters of the user in real time;
the processing unit is used for storing the physiological parameters and establishing a user health model according to the stored historical physiological parameters, wherein the user health model comprises physiological parameter indexes in the user health state; and judging the level of the current user physiological parameter according to the physiological parameter index of the user health model, and judging the body state of the user.
9. The method of claim 8, wherein the physiological parameter acquisition unit is a wearable device; and/or the processing unit is a server.
10. The method of claim 8, wherein the processing unit transmits the level of the current user physiological parameter and the physical state condition of the user to the user terminal.
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| CN201810799574.8A CN110731766A (en) | 2018-07-19 | 2018-07-19 | Health monitoring method and system |
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| CN201810799574.8A CN110731766A (en) | 2018-07-19 | 2018-07-19 | Health monitoring method and system |
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| CN111951965A (en) * | 2020-07-31 | 2020-11-17 | 合肥工业大学 | Panoramic health dynamic monitoring and predicting system based on time sequence knowledge graph |
| CN112022124A (en) * | 2020-09-14 | 2020-12-04 | 山东省创新设计研究院有限公司 | Physiological monitoring method, physiological monitoring device, computer equipment and storage medium |
| CN113012786A (en) * | 2021-02-26 | 2021-06-22 | 程亮 | Motion adjustment method, system, computer device and storage medium |
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| CN116487050A (en) * | 2023-06-21 | 2023-07-25 | 深圳市万佳安智能科技有限公司 | Human health monitoring method, device and computer equipment |
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Application publication date: 20200131 |