CN104835003A - System for mobile old-age services and implement method thereof - Google Patents

Abstract

The invention discloses a mobile elderly care service-oriented system and its realization method. The system includes a wrist sensor, a wireless communication network and an intelligent health processing platform. The wrist sensor has a built-in integrated circuit board, and the integrated circuit board has a main module and a wireless communication unit connected to the main module, which is analyzed and processed by the main module, a call alarm device, a positioning device, a posture sensing device, and a physiological sensing device , Charging module. The wireless communication network adopts WiFi and 3G network, and the wrist sensor will automatically and intelligently select the optimal wireless transmission network according to the current network environment of the user, that is, it can automatically switch between the two wireless channels. The intelligent health processing platform is composed of a database server, a Web server and a data processing server. It adopts a B/S-based MVC three-layer architecture mode and supports Web management. The login platform has two entrances, which are ordinary user login and health expert login. .

Description

A system and its implementation method for mobile elderly care services

technical field

The invention relates to a system for mobile elderly care services and an implementation method thereof, belonging to the field of communication technology.

Background technique

In recent years, with the improvement of people's living standards, people's life expectancy has gradually increased. People, especially the elderly, pay more attention to physical health. As the age increases, the body resistance of the elderly will decrease and they will be more susceptible to diseases. With the aging of the domestic population becoming a trend, there are more and more patients with chronic senile diseases. At present, there are about 200 million hypertensive patients and 90 million diabetic patients in my country. Control and treatment of chronic diseases are difficult. 75% of the urban population died of chronic diseases. Money can hardly buy health. On the other hand, the shortage of medical resources, the difficulty and high cost of seeing a doctor have already affected the national economy and the people's livelihood. Although the government has started medical reform, it has been difficult to alleviate the shortage of medical resources and control the growth of the number of people with chronic diseases. With a large population base, there is a huge demand for health services, and the awareness of exchanging wealth for health is increasingly awakened. People are shifting from a single medical form to a multi-faceted health care service. Health awareness has triggered an increase in active health consumption, which is conservatively estimated according to relevant industry data. In the next five years, there will be 100 million new people who have health service needs and consumption capacity, and the average annual expenditure on health services per person is about 1,000 yuan, which will generate at least 100 billion yuan in market growth each year.

Most of the elderly live alone, whether they are at home or participating in outdoor activities, their children cannot always accompany the elderly. In recent years, there have often been news reports that the elderly accidentally fell when they went out and no one was sent to the doctor, and the family members and medical staff could not be notified in time of sudden illness, resulting in the loss of the best time for treatment, etc. Problems that cannot be ignored in today's society. Therefore, how to monitor the physical condition of the elderly in real time, and prevent emergencies, so that when there is an emergency, the relevant personnel can be notified in time, and timely and effective countermeasures are taken, which is an urgent problem to be solved.

According to market data, the current solutions to these problems mainly include: 1. Neglect of disease prevention, daily health education and rehabilitation after disease; 2. Health brought about by aging, chronic diseases and sub-health Guardianship issues; 3. Timely pre-hospital assistance. And the present invention can well solve the above problems.

Contents of the invention

The purpose of the present invention is to solve the above problems, and proposes a system for mobile elderly care services, which includes a wrist sensor, a wireless communication network and an intelligent health processing platform.

The function of the wrist sensor in the present invention is to collect various physiological health data of the human body, the main module of the sensor analyzes and processes the data, and finally sends the data to the intelligent health processing platform through the wireless network. It also provides the location information of elderly users, which is convenient for positioning and emergency rescue for the elderly when abnormalities occur.

The function of the wireless communication network in the present invention is: the data processed by the wrist sensor is transmitted to the intelligent health processing platform through it. The present invention provides two kinds of wireless communication networks, namely WiFi and 3G. The wrist sensor can select the optimal communication network by detecting the strength of the signal.

The function of the intelligent health processing platform of the present invention is to receive the physiological data of the human body, analyze, process and store it. When the value of a certain physiological index exceeds the prescribed threshold value, an alarm program is started. It also supports web management, users can log in to the platform, view their own physiological data, and consult the health experts on the platform.

The wrist sensor of the present invention is built with an integrated circuit board, and the integrated circuit board has a main module and is connected with the main module, a wireless communication unit, a call alarm device, a positioning device, a posture sensing device, a physiological Sensing device, charging module.

The physical positioning technology of the positioning device of the present invention is very rich: in the outdoor environment, mainly use the satellite positioning technology to determine the absolute position of the elderly in space, wherein the widely used GPS positioning accuracy can reach 3-5 meters; in the indoor environment , mainly use wireless signals such as Bluetooth, WLAN or ultra-wideband for intelligent indoor positioning. Among them, the RADAR system of WLAN positioning technology determines the location of the elderly by matching the signal characteristics of their location, and the positioning accuracy can reach 5 meters. The physical location describes the absolute spatial coordinates of the elderly, but is difficult to be understood and used by location services. For this reason, the present invention proposes positioning through semantic position information, and the semantic position can be obtained in various ways. For example, by detecting the activity rules of the elderly in a specific location, combined with information such as the address book and schedule of the elderly, the semantic information of the location can be inferred.

The posture sensing device of the present invention adopts a Kinect somatosensory controller, and uses an acceleration sensor to perceive limb movements. It can detect the movement of the elderly, and evaluate the degree of health risk after the human body falls, and generate alarm information according to the evaluation result. When the degree of health risk is greater than the threshold, the call alarm device will automatically perform remote fall alarm and health alarm, otherwise only The fall alarm can make it easier for the guardian and the guardianship center to fully understand the health of the elderly, and provide medical treatment to the elderly in the shortest possible time.

The physiological sensing module of the present invention senses through the external physiological sensing device. The wrist sensor connects the physiological sensing module with the portable electronic blood pressure meter, electronic blood sugar meter, electronic oximeter and electronic electrocardiometer through Bluetooth and ZigBee and other short-distance wireless connection technologies, collects health examination data and uploads it to The main module analyzes, processes and summarizes these physiological health data, and finally uploads the data to the upper platform database through the wireless communication unit.

The calling alarm device of the present invention can send out an alarm notification when an elderly person is in danger. Through the physiological perception module, the user's heart rate, body temperature, blood pressure, blood sugar and other health indicators are monitored in real time. Each indicator has a safety threshold. The data of these health indicators will be analyzed and processed by the main module. When several real-time monitoring If any one of the physiological indicators exceeds the preset threshold, it will trigger an automatic warning to realize the alarm. At the same time, the wrist sensor will send the health data to the background database of the intelligent health processing platform, and the data processing server in the background will process the data. In case of abnormal data, the platform will start the alarm program to notify the guardians and medical staff of the elderly .

The wireless communication network of the present invention adopts WiFi and 3G network, and the wrist sensor will automatically and intelligently select the optimal wireless transmission network according to the current network environment of the user, that is, it can automatically switch between the two wireless channels . For example: if the old man is at home and the WiFi network signal is very good, the wireless communication unit of the wrist sensor will switch to WiFi mode; if the old man is away from home and there is no WiFi around, then the wireless communication unit of the wrist sensor will Switch to 3G mode.

The invention uses the horizontal switching and vertical switching algorithms based on position information, distinguishes switching types based on the moving speed and direction angle information, sets variable entry and exit distances, and uses received signal strength values to assist comparison and decision switching, reducing the ping-pong effect , reduce handover blocking rate and handover delay, realize seamless handover of homogeneous and heterogeneous networks, and improve the efficiency of handover between networks. Otherwise, it is very easy to cause low switching efficiency, high signaling overhead, waste of wireless resources, and so on.

The intelligent health processing platform of the present invention is composed of a database server, a Web server and a data processing server. The database server adopts MySQL database because of its small size, high speed, low overall cost of ownership, and especially the feature of open source code. The web server adopts Apache server, which is widely used because of its fast, reliable, cross-platform and good security. The data processing server receives the data transmitted by the sensing device, analyzes and processes it, and sends out an alarm message if necessary. At the same time, data mining technology is used to effectively classify and predict the type and probability of the patient's disease.

The intelligent health treatment platform of the present invention is positioned for personal health monitoring, health education, timely health intervention and pre-hospital assistance outside the hospital, and aims to form a closed loop of continuous attention to personal health together with the current in-hospital treatment system. By analyzing the development trend of the user's health status through the remote and real-time acquisition of the user's health and physiological information in daily life, professional medical staff will give the individual targeted health education knowledge and timely health intervention measures based on this information, thereby supporting the individual to strengthen their health. Continue to pay attention to your own health, realize the transformation from treatment to prevention, and improve the success rate of emergency rescue.

The intelligent health processing platform of the present invention adopts the B/S-based MVC three-layer architecture mode and supports Web management. The login platform has two entrances, which are ordinary user login and health expert login.

After logging in, ordinary users can use the following functions provided by the platform:

1) Health information query: help the elderly, guardians and medical workers to query the real-time and historical health information of the elderly, and provide guidance for treatment plans;

2) Health status assessment: the platform can extract effective data information through data mining of personal health records and health information (such as blood pressure, blood sugar, etc.) collected continuously for a long time, so as to comprehensively evaluate the current health status of the elderly and future disease risk;

3) Health promotion: Health experts log in to the health expert system, evaluate the user's health according to the user's detection records, and send a health report to the user, so that the user can pay attention to their own health status in real time;

4) Expert consultation: The web page of the platform provides an entrance to directly communicate with health experts, through which users can consult experts on related health issues.

After the health expert logs in, the platform will provide the following functions:

1) User information query: Health experts can view relevant information of users, and can also input keywords to extract data of a certain user, a certain time period or a certain physiological index, and can also query users according to different diseases or monitoring items Categorize to guide treatment options;

2) Sending health reports: The platform provides several templates for health reports, which health experts can fill in and modify. Health experts can evaluate the user's health based on the user's monitoring data and send a health report to the user to help the user understand their physical condition;

3) User communication: The web page of the platform provides an entrance for direct communication with users. Through this entrance, health experts can answer health questions raised by users, and at the same time, can understand the recent physical condition of the elderly, and can maintain continuous monitoring of the physical condition of users. can help guide their behaviors such as medication, diet, and exercise.

The present invention also provides a method for realizing a system oriented to mobile elderly care services, the method comprising the following steps:

Step 1: The elderly wear the wrist sensor, whether at home or away from home;

Step 2: The wrist sensor collects the physiological data of the elderly in real time, and analyzes and processes these data;

Step 3: The wrist sensor judges the network environment and selects the communication network;

Step 4: The wrist sensor sends the physiological data and the location information of the elderly to the intelligent health processing platform through the wireless communication network;

Step 5: The platform analyzes the data. If the data of a certain physiological index is abnormal, an alarm program will be activated to notify the guardian of the elderly and relevant medical staff. If it is normal, the data will be stored in the background database;

Step 6: The elderly or their family members can log on to the webpage of the platform to view past and latest physiological data, and consult health experts about health issues;

Step 7: The platform conducts data mining on a large amount of health data in order to effectively classify and predict the type and probability of the patient's disease, so as to achieve the effect of "preventing disease".

Beneficial effect:

1. It can realize the intelligent monitoring and management of the health of the elderly, help family members and medical staff to grasp the health status of the elderly, discover potential health risks in time, and play an early warning role. At the same time, the elderly should pay more attention to their own health, reduce the risk of sudden health conditions for the elderly, shorten the time for obtaining medical assistance, and help the elderly to manage their own health.

2. Whether the elderly are at home or outdoors, the system can work normally. On the one hand, the elderly can enjoy the life of old age, and on the other hand, the safety of the elderly’s daily life is improved. It can track and update personal health information in real time, which is conducive to the understanding of health status, possible hidden dangers, reducing the incidence of diseases, and providing more accurate and real data for doctors to diagnose diseases.

3. Easy to use, friendly interface, and low training cost for ordinary users. Since the intelligent health processing platform adopts a B/S-based architecture model, supports web management, and has the characteristics of distribution, it can be queried and browsed anytime and anywhere. Anyone who can surf the Internet normally can be familiar with the operation and interaction of the platform pages in a short period of time, which is very convenient for users to learn.

Description of drawings

Fig. 1 is the overall structural diagram of the system;

Fig. 2 is the structural diagram of wrist sensor;

Fig. 3 is the flowchart of switching between 3G network and WiFi network;

Figure 4 is a schematic diagram of the functions provided by the platform to ordinary users;

Figure 5 is a schematic diagram of the functions provided by the platform to health experts.

Detailed ways

The invention will be described in further detail below in conjunction with the accompanying drawings.

Users of the system of the present invention can obtain information such as the physical condition of the elderly at home anytime and anywhere through a terminal such as a mobile phone or a computer that can use a browser, and can consult health experts according to their own physical condition. At the same time, the platform provides advanced data mining technology, which can carry out hidden data mining based on the data of various health indicators collected daily, and can effectively classify and predict the type and probability of patients' onset, and quickly and effectively complete the prediction in the medical system Work is conducive to understanding the health status, reducing the incidence of diseases, providing more accurate and true data for doctors to diagnose diseases, and ultimately improving the quality and safety of the elderly's life in old age.

As shown in Figure 1, the present invention provides a system for mobile elderly care services, which includes a wrist sensor, a wireless communication network and an intelligent health processing platform. The wrist sensor is responsible for collecting the physiological data of the human body, and sending these data to the intelligent health processing platform through the wireless communication network, and the platform provides health services for users.

The wrist sensor can be worn on the wrist of the elderly, just like a watch, and it is very convenient to carry whether the elderly are at home or away from home. The wrist sensor has a built-in integrated circuit board, as shown in Figure 2, the integrated circuit board has a main module and a wireless communication unit connected to the main module, which is analyzed and processed by the main module, a call alarm device, a positioning device, and an attitude sensing device , a physiological sensing device, and a charging module. The wrist sensor can be connected with portable electronic blood pressure meter, electronic blood glucose meter, electronic oximeter and electronic electrocardiometer to collect health examination data and upload it to the main module, which can be analyzed, processed and summarized by the main module. , and finally upload the data to the upper platform database through the wireless communication unit. Moreover, the wrist sensor also provides a positioning function. Different from the absolute spatial coordinate positioning of traditional positioning technology, the wrist sensor in the present invention also uses semantic position information for positioning, and the semantic position can be obtained in various ways. The semantic information of the location can be deduced by detecting the activity pattern of the elderly in a specific location, combined with information such as the address book and schedule of the elderly. Traditional absolute coordinate positioning is difficult to be understood and used by location services. Semantic information positioning technology has high positioning accuracy and fast positioning speed. Know the current location of the old man and go to the rescue.

The wireless communication network adopts WiFi and 3G network. The wrist sensor will automatically and intelligently select the optimal wireless transmission network according to the current network environment of the user, that is, it can automatically switch between the two wireless channels. For example: if the old man is at home and the WiFi network signal is very good, the wireless communication unit of the wrist sensor will switch to WiFi mode; if the old man is away from home and there is no WiFi around, then the wireless communication unit of the wrist sensor will Switch to 3G mode.

The intelligent health processing platform is shown in Figure 1, which consists of a database server, a Web server and a data processing server. The database server adopts MySQL database because of its small size, high speed, low overall cost of ownership, and especially the feature of open source code. The web server adopts Apache server, which is widely used because of its fast, reliable, cross-platform and good security. The data processing server receives the data transmitted by the sensing device, analyzes and processes it, and sends out an alarm message if necessary. At the same time, data mining technology is used to effectively classify and predict the type and probability of the patient's disease.

The intelligent health processing platform adopts the B/S-based MVC three-tier architecture model and supports Web management. There are two login platforms, which are ordinary user login and health expert login. Commonly used login devices include laptops, desktops, and smartphones. As long as a browser can be installed on the device, you can log in to the platform page and interact with the platform anytime, anywhere.

Fig. 3 is the flow chart of handover between 3G network and WiFi network, and the present invention uses horizontal handover and vertical handover algorithm based on location information, by mobile speed and direction angle information, distinguishes handover type, sets variable inbound and outbound distances, In addition, the received signal strength value is used to assist in the comparison and judgment of handover, which reduces the ping-pong effect, reduces handover blocking rate and handover delay, realizes seamless handover between homogeneous and heterogeneous networks, and improves the efficiency of handover between networks. Otherwise, it is very easy to cause low switching efficiency, high signaling overhead, waste of wireless resources, and so on. When performing handover processing in two heterogeneous networks, different handover strategies may be adopted according to different handover scenarios to distinguish handover types.

In the case of a WiFi hotspot coverage area and a large-scale coverage of a 3G cellular network, the wrist sensor may be in the following modes: entering a WiFi network from a 3G network, referred to as "In" mode. Switch from WiFi network to 3G network, referred to as "Out" mode. Pass through the WiFi network from the 3G network and return to the original 3G network, referred to as "Pass" mode.

When the terminal switches from the cellular network to the WiFi network, in order to obtain higher bandwidth and cost performance as soon as possible, it will switch quickly when the signal strength reaches a certain requirement. This is mode I; the terminal passes through the WiFi network from the cellular network. If the time t is greater than σ (time threshold), then switch, otherwise you can not switch to reduce the network signaling load, this is mode II; when the terminal switches from the WiFi network to the 3G cellular network, set the hysteresis value, when the signal strength of the cellular network is strong enough Switching is performed when the terminal is in high-bandwidth service and limits the ping-pong effect. This is mode III.

For modes I and III, in the heterogeneous network, the distance threshold required to execute the handover process is first set, that is, the maximum moving distance of the terminal during a handover process, and this value is related to the moving speed and angle. The maximum moving distance is: D=v _max t _HO , t _HO ＝t _WiFi +t _c +t _n , where t _HO represents the switching time, t _WiFi represents the processing time of WiFi network switching, and t _c represents the processing delay of the access controller , t _n represents other additional delays, and t _max can be estimated according to real-time position information. You can get the D value, that is, the coverage area of WiFi, and get the judgment entry and exit distances. For mode II, the corresponding D=v _max t _HO , t _HO =t _3G +t _c +t _n , t _3G represents the handover processing time of the 3G network, and the meanings of other variables are the same as above. You can also get the D value, that is, the coverage area of 3G, and determine the entry and exit distances of the decision. As shown in the flowchart of FIG. 3 , automatic switching between the WiFi network and the 3G network can be realized.

Figure 4 is a schematic diagram of the functions provided by the platform to ordinary users. Ordinary users can interact with the platform, as follows:

1) The user opens the login interface login.php through the browser, enters the account number and password information, and clicks the "login" button, it will be submitted to the web server of the platform, and the dynamic page loginController.php in the web server will query the MySQL database server Verification, if the verification match is successful, jump to the interactive interface. Otherwise, it will stay on the login interface, and there will be a red letter indicating the cause of the error, such as wrong password, wrong verification code, etc.

2) If the user does not have an account, you can click the "Register" button on the login interface, the page will go to register.php, fill in the account number, email address, password and confirm the password information, and click "Submit" to register. After the user registers successfully, provide the "Back" button to return to the login interface to log in; if the user forgets the password, he can click the "Retrieve Password" hyperlink on the login interface, and the page will jump to forget.php, and fill in the account number, email address, etc. Enter the new password and click the "Submit" button to reset the password.

3) Enter the interactive interface main.php, and the user can use the functions provided by the platform. Users can enter the personal center, view or update personal information such as name, age, emergency contact phone number, and modify passwords. The main interface of the interactive interface will also provide links such as health tips, so that users can pay attention to prevention before disease, conduct daily health education and help recovery after disease.

4) The user can enter the physical examination center page, which is the entrance of each physical examination sub-item. You can choose blood pressure monitoring, heart rate monitoring, blood sugar monitoring, etc., and you can view the latest and historical data of the corresponding health indicators of the elderly anytime, anywhere. The preset thresholds will be marked in red for easy analysis and viewing. In addition to displaying the data at a certain time in a table, the platform also provides an intuitive dynamic graph to display the health data, and the threshold line is marked on the two-dimensional graph. If any data exceeds the threshold, its value will be higher than the threshold The line is clear at a glance.

5) The user can enter the health expert page. On this page, the user can consult the health expert about related physical health issues, and this page also provides a health report query function, and the user can query his own health report according to the date and time. Health experts conduct health assessments on users on a regular basis, analyze the cause of the user's disease, determine the treatment plan, and give advice on diet and rest to fill in the health report based on the user's self-reported physical condition and the health data obtained from system monitoring, and then click "Send" button can be sent to the appropriate user, who can view them the next time they log in.

Figure 5 is a schematic diagram of the functions provided by the platform to health experts. The health expert system has three functional modules: platform user module, health report module and personal information management module. Health experts can interact with the platform, as follows:

1) In the user module of the platform, experts can check the user's health information and accept the user's consultation, so as to better understand the user's recent physical condition, give them advice on diet, rest and medication, and answer the user's questions at any time doubts, and help them in health promotion.

2) In the health report module, experts can evaluate the user's health, edit the health report according to the user's physical examination records, and send it to the corresponding user. Experts can also manage the existing health report templates provided by the platform, add, delete, modify and check, so as to customize the health report templates for each user. Experts can also view sent historical reports, update and modify them.

3) In the personal information management module, experts can manage their own personal information. The platform provides the functions of viewing and modifying personal information, and also provides the function of modifying the login password.

In addition to viewing the data of various physiological indicators of elderly users monitored by the platform, health experts can also obtain the results of data mining of massive health data by the data processing server of the platform, so as to effectively classify the disease types and probabilities of patients predict. The invention adopts the ID3 algorithm for building decision trees in a distributed manner, can efficiently build decision trees, and quickly and effectively complete the prediction work in the medical system. The algorithm is based on the existing popular cloud computing platform, using the distributed algorithm designed by the MapReduce distributed framework. The operating environment is a Hadoop cluster composed of 6 nodes. The hardware configuration of each node is exactly the same. Each node contains a 2.13GHz Intel processor, 16G memory, and each node runs the CentOS Linux operating system. The algorithm randomly extracts n groups of data from the database server, and the records of these data are health information of elderly users. Based on these data, the decision tree algorithm classifies and predicts the body of the elderly, which can effectively prevent and treat. The algorithm has good efficiency and scalability, and can effectively process large-scale health data.

Claims (7)

1. A system for mobile elderly care services, characterized in that: the system includes: a wrist sensor, a wireless communication network and an intelligent health processing platform; the wrist sensor is responsible for collecting the physiological data of the human body, and through the wireless communication network Send these data to the intelligent health processing platform, and the platform provides health services for users. 2. A system for mobile elderly care services according to claim 1, characterized in that: said wrist sensor has a built-in integrated circuit board, and the integrated circuit board has a main module and is connected to the main module. Analysis and processing wireless communication unit, call alarm device, positioning device, posture sensing device, physiological sensing device, charging module. 3. A system for mobile elderly care services according to claim 1, characterized in that: the wireless communication network adopts WiFi and 3G networks, and the wrist sensor will automatically and intelligently Select the optimal wireless transmission network, namely: automatically switch between two wireless channels. 4. A kind of system facing mobile elderly care service according to claim 1, characterized in that: said intelligent health processing platform is made up of database server, Web server and data processing server, adopts the MVC three-layer structure based on B/S mode, supports web management, and the login platform has two entrances, which are ordinary user login and health expert login. 5. A system for mobile elderly care services according to claim 3, characterized in that: it is automatically and intelligently switched between the WiFi and the 3G network; using horizontal switching and vertical switching algorithms based on location information, the mobile Speed and direction angle information, distinguishing handover types, setting variable inbound and outbound distances, and using received signal strength values to assist in comparison and decision handover, to achieve seamless handover between homogeneous and heterogeneous networks. 6. A system for mobile elderly care services according to claim 4, characterized in that: the data processing server of the intelligent health processing platform adopts the ID3 algorithm for distributed construction of decision trees to carry out data mining on massive health data ; A distributed algorithm designed using the MapReduce distributed framework. 7. A method for implementing a system for mobile elderly care services, characterized in that the method comprises the following steps: Step 1: The elderly wear the wrist sensor, whether at home or away from home; Step 2: The wrist sensor collects the physiological data of the elderly in real time, and analyzes and processes these data; Step 3: The wrist sensor judges the network environment and selects the communication network; Step 4: The wrist sensor sends the physiological data and the location information of the elderly to the intelligent health processing platform through the wireless communication network; Step 5: The platform analyzes the data. If the data of a certain physiological index is abnormal, an alarm program will be activated to notify the guardian of the elderly and relevant medical staff. If it is normal, the data will be stored in the background database; Step 6: The elderly or their family members can log on to the webpage of the platform to view past and latest physiological data, and consult health experts about health issues; Step 7: The platform conducts data mining on a large amount of health data in order to effectively classify and predict the type and probability of the patient's disease, so as to achieve the effect of "preventing disease".