CN110570949A - Health monitoring method and equipment for old people in smart community and readable storage medium - Google Patents
Health monitoring method and equipment for old people in smart community and readable storage medium Download PDFInfo
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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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
- A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
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- 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/08—Elderly
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Abstract
The invention discloses a health monitoring method, computer equipment and a readable storage medium for the old in an intelligent community, wherein the method comprises the following steps: the current heart rate of the target old man under the current behavior sent by the client is automatically and accurately obtained, the historical heart rate of the target old man under the historical behavior corresponding to the current behavior is obtained, if the current heart rate is larger than the historical heart rate, the health abnormality of the target old man is determined, because the heart rates of the target old man under different behaviors are different, the accurate current heart rate under each current behavior is analyzed and compared with the historical heart rate under the historical behavior corresponding to the current behavior, the health condition of the target old man is accurately determined, and the health monitoring accuracy of the old man in the smart community is improved.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a health monitoring method for the old in an intelligent community, computer equipment and a readable storage medium.
Background
china increasingly enters an aging society, the aging problem is more and more prominent, namely, the monitoring of the health condition of the old people is more and more concerned.
In the traditional method, under the ordinary condition, the collecting equipment is adopted to collect the body condition of the old people in the smart community and report the collected body condition information to the monitoring system, but the collected body condition information is often inaccurate, and the monitoring system misreports the health condition of the old people, so that the health monitoring accuracy of the old people is low.
Therefore, finding an accurate method for monitoring the health of the elderly people becomes a problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the invention provides a health monitoring method, computer equipment and a readable storage medium for the old in an intelligent community, and aims to solve the problem of low accuracy in monitoring the health of the old.
A health monitoring method for the elderly in a smart community comprises the following steps:
Acquiring the current heart rate of a target old man under the current behavior sent by a client;
Acquiring a pre-collected historical heart rate of the target old man under a historical behavior corresponding to the current behavior;
And if the current heart rate is larger than the historical heart rate, determining that the target old man is abnormal in health.
A computer device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the health monitoring method for the aged in the intelligent community.
a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the above-mentioned steps of the method for health monitoring of elderly persons in a smart community.
According to the health monitoring method for the old people in the smart community, the computer equipment and the readable storage medium, the current heart rate of the target old people in the current behavior sent by the client is automatically and accurately obtained, the historical heart rate of the target old people in the historical behavior corresponding to the current behavior is obtained in advance, if the current heart rate is larger than the historical heart rate, the health of the target old people is determined to be abnormal, because the target old people in different behaviors have different heart rates, the accurate current heart rate in each current behavior is compared with the historical heart rate in the historical behavior corresponding to the current behavior in an analysis mode, the health condition of the target old people is accurately determined, and the health monitoring accuracy of the old people in the smart community is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of an application environment of a method for health monitoring of elderly people in a smart community according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for health monitoring of the elderly in the intelligent community according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method for monitoring the health of the old in the intelligent community can be applied to an application environment shown in fig. 1, wherein the application environment comprises a server and a client, and the client is communicated with the server through a wired network or a wireless network. Among other things, the client may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented by an independent server or a server cluster composed of a plurality of servers. The client is used for collecting the current heart rate of the target old man, and the server is used for analyzing the current heart rate and determining the health condition of the target old man.
In an embodiment, as shown in fig. 2, a method for monitoring the health of the elderly in an intelligent community is provided, which is described by taking the method as an example of the server in fig. 1, and includes the following steps:
And S10, acquiring the current heart rate of the target old man under the current behavior sent by the client.
Specifically, under a normal condition, the old people in many smart communities are at home alone, the health condition of the old people may be abnormal at any time, in order to monitor the health condition of the old people in real time, the client needs to collect the current behavior picture of the target old people and send the collected current behavior picture to the server, when the server receives the current behavior picture, the current behavior picture is input into a pre-trained behavior recognition model for behavior recognition processing, so that the current behavior is obtained, wherein at least two current behavior pictures exist, the behavior recognition model is obtained by training the historical behavior picture and the historical behavior of the target old people, and the behavior recognition model can be a deep learning model and can also be other models.
preferably, the acquiring the current heart rate of the target elderly person sent by the client under the current behavior specifically includes: firstly, acquiring a target face picture set of a target old man sent by a client in a preset target time period, wherein each target face picture in the target face picture set comprises picture acquisition time; then, preprocessing the target face pictures in the target face picture set to obtain preprocessed target face pictures, namely, filtering the target face pictures in the target face picture set to obtain filtered target face pictures, and performing color enhancement processing on the filtered target face pictures to obtain enhanced target face pictures serving as the preprocessed target face pictures; then, carrying out face color extraction processing on each preprocessed target face picture to obtain a target face color value corresponding to each target face picture; finally, determining the average value of the target face color value as the current heart rate, namely, connecting the target face color value according to the sequence of the image acquisition time to obtain a target face color change signal, and calculating the average period of the target face color change signal; the median value in the average cycle is extracted as the current heart rate.
It should be noted that the client may be a camera or a digital camera, the current behavior may be eating, doing housework or doing sports, the target time period may be 24 hours or 18 hours, and the picture acquisition time is the time when the client acquires each target face picture, and the specific contents of the client, the current behavior and the target time period may be set according to the actual application, which is not limited herein.
further, the current behavior may be a current athletic behavior or a current non-athletic behavior, the historical behavior may be a historical athletic behavior or a historical non-athletic behavior, the current athletic behavior and the historical athletic behavior have a correspondence, and the current non-athletic behavior and the historical non-athletic behavior have a correspondence, where the current athletic behavior refers to a current behavior including an exercise, such as running, the current non-athletic behavior refers to a current behavior not including an exercise, such as sitting, the historical athletic behavior refers to a historical behavior including an exercise, and the historical non-athletic behavior refers to a historical behavior not including an exercise.
further, the current athletic performance may be a current violent athletic performance or a current non-violent athletic performance, the historical athletic performance may be a historical violent athletic performance or a historical non-violent athletic performance, the current violent athletic performance and the historical violent athletic performance have a corresponding relationship, and the current non-violent athletic performance and the historical non-violent athletic performance have a corresponding relationship, where the current violent athletic performance refers to a current performance including violent exercises, such as fast running or basketball playing, the current non-violent athletic performance refers to a current performance not including violent exercises, such as yoga, the historical violent athletic performance refers to a historical performance including violent exercises, and the historical non-violent athletic performance refers to a historical performance not including violent exercises.
And S20, acquiring a pre-collected historical heart rate of the target old man under the historical behavior corresponding to the current behavior.
Specifically, in order to analyze whether the current heart rate of the target elderly is abnormal, a storage path of a historical heart rate of the target elderly under a historical behavior corresponding to the current behavior in a historical database, which is acquired in advance, needs to be acquired first, and then the historical heart rate is extracted according to the acquired storage path. The server collects the historical heart rate of the target old man under the historical behaviors in advance and stores the heart rate to a historical database.
For example, the historical database is a MySQL database, the storage path of the historical heart rate is C: \ Program Files \ MySQL \ MySQL Server 5.0\ data \ and the C: \ Program Files \ MySQL \ MySQL Server 5.0\ data \ is firstly obtained in the MySQL database and then the historical heart rate is extracted according to the C: \ Program Files \ MySQL \ MySQL Server 5.0\ data'.
It should be noted that the history database may be a MySQL database or an oracle database, and the specific content of the history database may be set according to the practical application, which is not limited herein.
And S30, if the current heart rate is larger than the historical heart rate, determining that the target old people are abnormal in health.
Specifically, if the current heart rate acquired in step S10 is greater than the historical heart rate acquired in step S20, it is determined that the target elderly is abnormal in health. For example, if the current heart rate of the target elderly male acquired in step S10 when watching tv is 110 times/minute and the normal historical heart rate of the target elderly male acquired in step S20 when watching tv is 65 times/minute, it is determined that the health of the target elderly male is abnormal. And if the current heart rate acquired in the step S10 is less than or equal to the historical heart rate acquired in the step S20 and greater than the pre-acquired target heart rate, determining that the target elderly is healthy and normal, wherein the target heart rate is the lowest heart rate of the pre-acquired target elderly under normal conditions.
Note that the target elderly people have different heart rates depending on their sex, and in general, the heart rate of women and elderly people is higher than that of men and elderly people.
Further, after determining the health abnormality of the target elderly, the method further comprises: the health abnormity warning information is sent to a rescue system of the smart community, so that the rescue system can rescue a target old man, meanwhile, the health abnormity warning information is sent to a third-party client, when the third-party client receives the health abnormity warning information, the health abnormity warning information is output to remind a user carrying the third-party client, for example, "you are in abnormal health of the old man at home, please contact 120 at once" is sent to the smart phone, when the smart phone receives "you are in abnormal health of the old man at home, please contact 120 at once", the health of the old man at home is output to please contact 120 at once ", so that relatives of the target old man carrying the smart phone are reminded.
Further, when a rescue system of the smart community receives health abnormity warning information, a conversation content instruction is sent to the client, when the client receives the conversation content instruction, conversation content of the target old man is uploaded to the rescue system through the conversation content instruction, the rescue system determines that the conversation content is healthy and normal by analyzing the conversation content of the rescue system, rescue processing on the target old man is released, meanwhile, a continuous health monitoring instruction is sent to the client, and when the client receives the continuous health monitoring instruction, the client outputs the continuous health monitoring instruction to remind the target old man to carry out health monitoring on the body.
Furthermore, biological characteristics such as blood pressure and/or blood sugar of the target old people can be collected through the client, the collected biological characteristics are sent to the server, when the server receives the biological characteristics, the biological characteristics are analyzed to obtain biological characteristic analysis results, and the health condition of the target old people is determined according to the biological characteristic analysis results, so that the accuracy of health monitoring of the target old people is improved.
it should be noted that, the specific content of the third-party client may be set according to the actual application, and is not limited here.
In the embodiment corresponding to fig. 2, the current heart rate of the target old man sent by the client under the current behavior is automatically and accurately obtained, the historical heart rate of the target old man under the historical behavior corresponding to the current behavior is obtained, and if the current heart rate is larger than the historical heart rate, the health of the target old man is determined to be abnormal.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
in one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile readable storage medium, an internal memory. The non-transitory readable storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile readable storage medium. The database of the computer equipment is used for storing data related to the health monitoring method of the old in the intelligent community. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of health monitoring for the elderly in a smart community.
In one embodiment, a computer device is provided, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for monitoring health of the elderly people in the smart community, such as steps S10 to S30 shown in fig. 2.
in one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the method for health monitoring of elderly people in a smart community in the above-described method embodiments. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A health monitoring method for the old in a smart community is characterized by comprising the following steps:
Acquiring the current heart rate of a target old man under the current behavior sent by a client;
acquiring a pre-collected historical heart rate of the target old man under a historical behavior corresponding to the current behavior;
And if the current heart rate is larger than the historical heart rate, determining that the target old man is abnormal in health.
2. The method of claim 1, wherein the current behavior is a current athletic behavior or a current non-athletic behavior, the historical behavior is a historical athletic behavior or a historical non-athletic behavior, the current athletic behavior corresponds to the historical athletic behavior, and the current non-athletic behavior corresponds to the historical non-athletic behavior.
3. the method of claim 2, wherein the current athletic performance is a current violent athletic performance or a current non-violent athletic performance, the historical athletic performance is a historical violent athletic performance or a historical non-violent athletic performance, the current violent athletic performance and the historical violent athletic performance are in a corresponding relationship, and the current non-violent athletic performance and the historical non-violent athletic performance are in a corresponding relationship.
4. the method for monitoring the health of the elderly in the smart community as claimed in claim 1, wherein before the obtaining the current heart rate of the target elderly in the current behavior sent from the client, the method for monitoring the health of the elderly in the smart community further comprises:
acquiring current behavior pictures of the target old people sent by the client, wherein at least more than two current behavior pictures exist;
And inputting the current behavior picture into a pre-trained behavior recognition model for behavior recognition processing to obtain the current behavior.
5. The method of monitoring the health of the elderly in the smart community as claimed in claim 1, wherein after the determining the health abnormality of the target elderly, the method of monitoring the health of the elderly in the smart community further comprises:
And sending the health abnormity warning information to a rescue system of the intelligent community so that the rescue system can rescue the target old people.
6. The method for monitoring the health of the elderly in the smart community as claimed in any one of claims 1 to 5, wherein the obtaining the current heart rate of the target elderly at the current behavior sent by the client comprises:
Acquiring a target face picture set of the target old man sent by the client in a preset target time period, wherein each target face picture in the target face picture set comprises picture acquisition time;
preprocessing the target face pictures in the target face picture set to obtain preprocessed target face pictures;
carrying out face color extraction processing on each preprocessed target face picture to obtain a target face color value corresponding to each target face picture;
And determining the average value of the target face color values as the current heart rate.
7. The method of claim 6, wherein the determining the average value of the target face color value as the current heart rate comprises:
According to the sequence of the image acquisition time, connecting the target face color values to obtain target face color change signals;
calculating the average period of the target human face color change signal;
Extracting a median value in the averaging period as the current heart rate.
8. the method for monitoring the health of the elderly in the smart community as claimed in claim 6 or 7, wherein the pre-processing the target face pictures in the target face picture set to obtain the pre-processed target face pictures comprises:
Filtering the target face picture in the target face picture set to obtain the filtered target face picture;
And carrying out color enhancement processing on the filtered target face picture to obtain the enhanced target face picture as the preprocessed target face picture.
9. a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements a method of health monitoring of elderly persons within a smart community as claimed in any of claims 1 to 8.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements a method of health monitoring of elderly people in a smart community according to any of claims 1 to 8.
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Effective date of registration: 20200311 Address after: 31a01, block a, aerospace science and Technology Plaza, 1698 Haide Third Road, Haizhu community, Yuehai street, Nanshan District, Shenzhen City, Guangdong Province Applicant after: Star Network Intelligent Technology Co.,Ltd. Address before: 518000 Guangdong city of Shenzhen province Nanshan District Qianhai Shenzhen Hong Kong cooperation zone before the Bay Road No. 1 building 201 room A (located in Shenzhen Qianhai business secretary Co. Ltd.) Applicant before: HENGDA WISDOM TECHNOLOGY Co.,Ltd. |
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Application publication date: 20191213 |
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| WD01 | Invention patent application deemed withdrawn after publication |