CN203122372U - Real-time health monitoring and intelligent warning system based on Android technology and Internet of Things - Google Patents

Real-time health monitoring and intelligent warning system based on Android technology and Internet of Things Download PDF

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Publication number
CN203122372U
CN203122372U CN 201320110632 CN201320110632U CN203122372U CN 203122372 U CN203122372 U CN 203122372U CN 201320110632 CN201320110632 CN 201320110632 CN 201320110632 U CN201320110632 U CN 201320110632U CN 203122372 U CN203122372 U CN 203122372U
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China
Prior art keywords
user
physiological
physiological feature
feature parameter
parameter
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CN 201320110632
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Chinese (zh)
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李晓龙
安然
魏蛟龙
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李晓龙
安然
魏蛟龙
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Priority to CN 201320110632 priority Critical patent/CN203122372U/en
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Abstract

The utility model provides a real-time health monitoring and intelligent warning system based on the Android technology and the Internet of Things. The system is characterized by comprising a physiological parameter acquisition subsystem, an intelligent communication terminal and a remote monitoring service platform; the physiological parameter acquisition subsystem is worn on a body of a user, and is used for sensing physiological characteristic parameters of the user; the intelligent communication terminal is used for receiving the physiological characteristic parameters from the physiological parameter acquisition subsystem and sending the physiological characteristic parameters of the user and/or comparison results of the physiological characteristic parameters of the user and corresponding abnormal thresholds to the remote monitoring service platform; and the remote monitoring service platform is used for receiving the physiological parameters of the user and outputting health warning based on the physiological parameters of the user.

Description

Real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things

Technical field

This utility model generally relates to health monitoring and early warning field, relates to real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things particularly.

Background technology

Along with the fast development of digitalized city construction, managing numeralization city and popularizing of primary care and endowment service system, the common people no longer terminate in ill seeing a doctor to supervision and the sociomedical hope of self health, even but developed into and wished pocket can not obtain the health guidance of specialty yet in hospital degree is put in medical treatment.Therefore, press for a cover new Digitalization, intelligentized intelligent remote health monitoring systems.

Development along with advanced sensing technology, wireless communication technique and embedded computer technology, monitoring technique based on the physiological parameter monitoring obtains new development, the mobility of custodial care facility has also strengthened, wearable type WLAN home health care system and embedded environment type remote sensing home health care system have occurred, the technical progress of these medical monitorings has promoted the research of size intelligent healthcare system.New research focus is that application target group's behavior rule detects, and can in time find the accidental or variation slowly of health, and in time take corresponding prevention and health care measure.

Achievement in research shows both at home and abroad: the remote health monitoring service has become an important branch in the medical industries, and industry begins to enter into the market the rush of demand stage.But at technical elements a lot of problems are arranged also at present: the Integration Design of the special-purpose image data of user system is exactly a bottleneck of remote medical monitor development, also has network service, and sensing, thing connection, data mining etc. all need to be resolved hurrily.

The utility model content

For solving one or more problem of the prior art this utility model is proposed.

Provide a kind of real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things according to an aspect of the present utility model, it is characterized in that, comprise: physiological parameter is obtained subsystem, is worn on the user's body physiological feature parameter of sensing user; Intelligent communications terminal obtains the physiological feature parameter that subsystem receives the user from physiological parameter, and user's physiological feature parameter and/or user's physiological feature parameter are sent to the remote monitoring service platform with the corresponding comparative result of threshold value unusually; And the remote monitoring service platform, reception user's physiological parameter, output is based on the healthy early warning of user's physiological parameter.

Alternatively, described physiological parameter is obtained subsystem and is comprised a plurality of Wearable physiological feature sensors, respectively the corresponding physiological feature parameter of sensing.

Alternatively, described intelligent communications terminal adopts Android operating system, and comprises bluetooth receiver module, self-learning module, figure's monitoring module, locating information acquisition module and core processing module.

Alternatively, described bluetooth receiver module realizes that intelligent communications terminal obtains communicating by letter between subsystem with physiological parameter; Described self-learning module is that the different user setting is based on the different unusual threshold value of the physiological feature parametric statistics analysis result in a period of time; The automatic monitor user ' figure of described figure's monitoring module, falling down or have the user potentially provides the user to fall down alarm when falling down crisis; Described locating information acquisition module output is based on the locating information of mobile communication location and satellite navigation location; And described core processing module is with described user's physiological feature parameter and corresponding unusual threshold value relatively, and with the one or more remote monitoring service platforms that send in following: user's physiological feature parameter; User's physiological feature parameter and the corresponding comparative result of threshold value unusually; And the user falls down alarm.

Alternatively, described remote monitoring service platform comprises: far-end server receives one or more from intelligent communications terminal following: user's physiological feature parameter; User's physiological feature parameter and the corresponding comparative result of threshold value unusually; And the user falls down alarm, and user's healthy early warning is provided and/or falls down alarm to user or other related sides; And the data base, storage user's health account, described health account is based on user's physiological feature parameter and/or the comparative result of physiological feature parameter and corresponding unusual thresholding.

Alternatively, described physiological feature parameter comprises one or more in following: electrocardiogram, body temperature, blood pressure, heart rate, blood glucose, blood oxygen saturation.

This is based on real-time health monitoring and the intelligent early-warning system of Android technology and Internet of Things, use sensing technology and the network communications technology with the health monitoring service extension to appointed place that communication network can arrive, by the user physiological parameter being carried out the system of continuous monitoring research, shortened the distance between medical personnel, relatives and the destination service crowd.Medical personnel can provide Health Care Services timely for user according to the long-range physiologic information that transmits; Relatives can in time obtain the positional information of user and current state in order in time give the required help of user or rescue.

In real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things, each physiological feature sensor is worn on effective body part of human body, gather the relevant sign parameter of human body for a long time in real time, and by bluetooth communication interface, the result who collects is dealt in the intelligent communications terminal that the wearer carries.Program in the intelligent communications terminal is passed through blue tooth interface, collect, analyze, handle, show the data of each physiological feature sensor, and the data message after the analyzing and processing is uploaded to the remote server of hospital by network, the health information that the doctor checks each user at the local game server of any network coverage can also re-send to feedback and advisory information simultaneously intelligent terminal's screen of user.Intellectual analysis and the warning function on the Android platform wherein; can also carry out analyzing and processing to the data of gathering; by analyzing physiological feature parameter and the attitude parameter of user; it is unusual or critical condition such as fall down to judge whether user health occurs; for example blood pressure is higher, rapid heart rate, when situation such as falling down, and it is unusual or can remind user to take a good rest and in time take the relief measure in modes such as sound, screen prompt, vibrations when critical condition such as falling down health to occur at user.After the analysis of intelligence, judge whether to contact the user relatives and transmit critical condition and the current geographic position that switch fault report is informed user, so that family members know old man's critical condition in the very first time.Can also carry out the monitoring of position to what some need be guarded as special populations such as patients of senile dementia as required, in case monitoring user goes out, then according to set according to certain time interval the active position information of user is sent to relatives by short message mode mobile phone so that relatives can grasp the whereabouts of user, effectively avoid the wander away generation of situation of user.

Description of drawings

Following detailed description by reading this utility model embodiment and will understand this utility model better with reference to the accompanying drawings, wherein:

Fig. 1 shows the overall construction drawing of real-time health monitoring and intelligent early-warning system;

Fig. 2 shows the structure chart that physiological parameter is obtained subsystem;

Fig. 3 shows the structure chart of physiological feature sensor;

Fig. 4 shows the structure chart of intelligent communications terminal;

Fig. 5 shows the structure chart of remote monitoring service platform;

Fig. 6 shows the flow chart of real-time health monitoring and intelligent early-warning method.

The specific embodiment

Hereinafter, preferred embodiment of the present utility model is described with reference to the accompanying drawings.Run through accompanying drawing, same reference numbers is used to indicate similar elements.

Fig. 1 schematically shown according to this utility model embodiment based on the real-time health monitoring of Android technology and Internet of Things and the population structure of intelligent early-warning system 100.Described real-time health monitoring and intelligent early-warning system 100 comprise: physiological parameter is obtained subsystem 110, intelligent communications terminal 120 and remote monitoring service platform 130.

Physiological parameter is obtained subsystem 110 and is comprised a plurality of Wearable physiological feature sensors, described a plurality of Wearable physiological feature sensor is worn on each corresponding effective site of user's body respectively, the physiological feature parameter that is used for sensing user, for example blood pressure, blood oxygen saturation, electrocardiogram, heart rate, body temperature, blood glucose etc.

The physiological feature parameter that intelligent communications terminal 120 obtains subsystem 110 sensings based on physiological parameter is come the health status of real-time monitor user ' and provide healthy early warning to the user when the physiological feature abnormal parameters.In addition, intelligent communications terminal 120 can send to remote monitoring platform 130 for further processing with the physiological feature parameter by for example movement/UNICOM/communication network.Alternatively, intelligent communications terminal 120 all right monitor user ' figures' abnormal change is in order to send the alarm that the user falls down.Alternatively, the alarm that healthy early warning and user can be fallen down of intelligent communications terminal 120 sends to remote monitoring platform 130.Intelligent communications terminal 120 can place user's pocket when flat or otherwise be carried by the user.Intelligent communications terminal 120 for example can be based on Android system or other operating system.

Remote monitoring service platform 130 receives the physiological feature parameter from intelligent communications terminal 120, and the physiological feature parameter of obtaining subsystem 110 sensings based on physiological parameter is come the health status of real-time monitor user ' and provide healthy early warning by for example health prompt note etc. to the user when the physiological feature abnormal parameters.Alternatively, remote monitoring service platform 130 can also be by cordless communication network and hospital server and user relatives or community nursing personnel intelligence, automatically carry out information interaction, in time to inform user's health status.Alternatively, the alarm that healthy early warning and the user from intelligent communications terminal 120 can be fallen down of remote monitoring platform 130 sends to user relatives or community nursing personnel.Fig. 2 has schematically shown the structure that physiological parameter is obtained subsystem 110, described physiological parameter is obtained subsystem 110 and is for example comprised pressure transducer 210, oximetry sensor 220, electrocardiography transducer 230, heart rate sensor 240, body temperature trans 250, blood glucose sensor 260, is used for physiological feature parameter such as sense blood pressure, blood oxygen saturation, electrocardiogram, heart rate, body temperature, blood glucose and described physiological feature parameter is sent to intelligent communications terminal 120.

Fig. 3 has schematically shown the structure of the pressure transducer 210 in the physiological feature parameter acquiring subsystem, comprises sensor assembly 310, processor module 320, wireless communication module 330 and energy supply module 340.Other sensors have similar structure, do not repeat them here.

Sensor assembly 310 is used for the blood pressure of sensing user and is converted into the signal of telecommunication.Processor module 320 is used for the integrated operation of control sensor 210 and the sensing result of sensor assembly 310 is carried out the physiological feature parameter that A/D conversion etc. obtains digital form.Wireless communication module 330 is used for the physiological feature parameter is wirelessly transmitted to intelligent communications terminal 120.Energy supply module 340 is used to sensor 210 that energy is provided, and can adopt No. 5 batteries of 2-3 joint to realize.

Fig. 4 has schematically shown the structure of intelligent communications terminal 120, comprises Android system 410, bluetooth receiver module 420, self-learning module 430, figure's monitoring module 440, locating information acquisition module 450 and core processing module 460.

Android system 410 is open mobile device comprehensive platforms, comprises operating system, user interface and application program.

Bluetooth receiver module 420 is used for collecting from the Monitoring Data of each sensor of physiology parameter acquiring subsystem 110, for example Bluetooth function that can use the intelligent terminal to carry by wireless mode.The Bluetooth AP I that the Android platform provides can realize the communication between the bluetooth equipment.

Self-learning module 430 is used for realizing the self-learning function of physiological feature parameter.Because user's individual variation is very big, widely different as parameters such as different people's heart rate, blood pressures, thus when carrying out exception monitoring, can not a unusual thresholding be set for all users are unified, otherwise can cause the wrong report of big probability.Native system has designed a self-learning module 430 voluntarily, when the user uses system for the first time, system's meeting continuous measurement a period of time, the physiological feature parameter of gained is carried out the statistical disposition unusual threshold value of deinitialization system afterwards, system just can adapt to different user like this, really realizes intellectual learning.

Figure's monitoring module 440 is used for realizing user figure's abnormality detection and provides alternatively falling down alarm.General on the market smart mobile phone all has attitude transducers such as 3-axis acceleration sensor, direction sensor, range sensor.Figure's monitoring module 440 utilizes inertial sensors such as the gyroscope that carries in the intelligent mobile terminal, 3-axis acceleration sensor, direction sensor, range sensor to realize attitude detection, can be by gravitational vectors angle and system's rotational angular velocity be measured, automatically detect principle by human body attitude, carry out intelligence and differentiate, thereby in real time, sense terminals holder's deflection angle and whole trend exactly.Even having potentially when falling down crisis the old man, system just can real-time carrying out acquisition process and feature extraction and realize transfer of data signal, and report to the police in advance.

Locating information acquisition module 450 is used for obtaining user's locating information.The locating information acquisition module merges the seamless location of mobile communication, satellite navigation, avoids the defective that can't obtain detailed locating information because signal is not good that relies on Gps location institute to occur merely, intelligence realization location requirement.

Core processing module 460 is used for the physiological feature parameter that receives is compared with for example corresponding unusual threshold value, healthy early warning to be provided and intuitively to show at mobile phone screen.In addition, core processing module 460 can send to remote monitoring service platform 130 to physiological feature parameter or physiological feature parameter with the corresponding comparative result of threshold value unusually, to send remote alarms automatically.Core processing module 460 adopts modularized design, be divided into foreground interface module and background processing module, background processing module for example can comprise modules such as bluetooth transceiver module, body temperature analysis module, heart rate analysis module, analysis of blood pressure, analysis of blood sugar, figure's analysis module, location analysis module, information transmit-receive.The foreground interface module can show the result of background processing module at the screen of intelligent communications terminal 120, so that healthy early warning for example to be provided.

Fig. 5 has schematically shown the structure of remote monitoring service platform 130.Described remote monitoring service platform is made up of far-end server 510 and data base 520.Far-end server 510 is used for receiving, managing the health and fitness information that the intelligent terminal gathers.Far-end server 510 is except the health and fitness information that in time user is sent is preserved with document form, also come user's health status is monitored in real time by these health and fitness informations, can beam back the health prompt note to user mobile phone, also can when finding emergency situation, send the effect that warning information plays multiple alarm to user mobile phone and user relatives.Personal illness and health plan, the personal health electronic record etc. set up according to the information of collecting can be stored among the data base 520.

Fig. 6 has schematically shown according to the real-time health monitoring of this utility model embodiment and the flow chart of intelligent early-warning method 600.As shown in Figure 6, this method begins at step 601 place.In step 602, gather user's physiological feature parameter, for example blood pressure, blood oxygen saturation, electrocardiogram, heart rate, body temperature, blood glucose etc.In step 603, physiological feature parameter and corresponding unusual thresholding are compared, so that healthy early warning to be provided.In step 604, the comparative result of physiological feature parameter and/or physiological feature parameter and corresponding unusual thresholding is sent to the remote monitoring service platform.In step 605, the remote monitoring service platform sends healthy early warning based on the comparative result of physiological feature parameter and/or physiological feature parameter and corresponding unusual thresholding to user and/or other related sides.This method finishes in step 606.Described other related sides comprise kith and kin, community nursing personnel, hospital of user user etc.

Alternatively, this method comprises that also the figure of monitor user ' falls down alarm to provide.Alternatively, this method also comprises based on the comparative result of physiological feature parameter and/or physiological feature parameter and corresponding unusual thresholding and sets up user's health account.

Though abovely by preferred embodiment this utility model is illustrated; but this utility model is not limited to above-mentioned specific embodiment; do not deviating under this utility model spirit and the real situation thereof; skilled personnel can make various corresponding changes and distortion according to this utility model, and these corresponding changes and distortion all should belong within this utility model claims protection domain.

Claims (6)

1. real-time health monitoring and intelligent early-warning system based on Android technology and an Internet of Things is characterized in that, comprising:
Physiological parameter is obtained subsystem, is worn on the user's body physiological feature parameter of sensing user;
Intelligent communications terminal obtains the physiological feature parameter that subsystem receives the user from physiological parameter, and user's physiological feature parameter and/or user's physiological feature parameter are sent to the remote monitoring service platform with the corresponding comparative result of threshold value unusually; And
The remote monitoring service platform, reception user's physiological parameter, output is based on the healthy early warning of user's physiological parameter.
2. real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things according to claim 1, it is characterized in that: described physiological parameter is obtained subsystem and is comprised a plurality of Wearable physiological feature sensors, respectively the corresponding physiological feature parameter of sensing.
3. real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things according to claim 1, it is characterized in that: described intelligent communications terminal adopts Android operating system, and comprises bluetooth receiver module, self-learning module, figure's monitoring module, locating information acquisition module and core processing module.
4. real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things according to claim 3 is characterized in that:
Described bluetooth receiver module realizes that intelligent communications terminal obtains communicating by letter between subsystem with physiological parameter;
Described self-learning module is that the different user setting is based on the different unusual threshold value of the physiological feature parametric statistics analysis result in a period of time;
The automatic monitor user ' figure of described figure's monitoring module, falling down or have the user potentially provides the user to fall down alarm when falling down crisis;
Described locating information acquisition module output is based on the locating information of mobile communication location and satellite navigation location; And
Described core processing module with described user's physiological feature parameter and corresponding unusual threshold value relatively, and with the one or more remote monitoring service platforms that send in following: user's physiological feature parameter; User's physiological feature parameter and the corresponding comparative result of threshold value unusually; And the user falls down alarm.
5. real-time health monitoring and intelligent early-warning system based on Android technology and Internet of Things according to claim 1 is characterized in that,
Described remote monitoring service platform comprises:
Far-end server, reception one or more from intelligent communications terminal following: comparative result and the user of user's physiological feature parameter, user's physiological feature parameter and corresponding unusual threshold value fall down alarm, and user's healthy early warning are provided and/or fall down alarm to user or other related sides; And
The data base, storage user's health account, described health account is based on user's physiological feature parameter and/or the comparative result of physiological feature parameter and corresponding unusual thresholding.
6. according to real-time health monitoring and the intelligent early-warning system based on Android technology and Internet of Things of claim 1, it is characterized in that described physiological feature parameter comprises one or more in following: electrocardiogram, body temperature, blood pressure, heart rate, blood glucose, blood oxygen saturation.
CN 201320110632 2013-03-12 2013-03-12 Real-time health monitoring and intelligent warning system based on Android technology and Internet of Things CN203122372U (en)

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103431868A (en) * 2013-08-15 2013-12-11 费军 Central monitoring locating system for wounded personnel unattended
CN103536278A (en) * 2013-09-18 2014-01-29 北京航空航天大学 Novel health monitoring system
CN103646164A (en) * 2013-11-14 2014-03-19 成都博约创信科技有限责任公司 Portable comprehensive human health detecting system and method thereof
CN103690285A (en) * 2013-12-16 2014-04-02 北京京东方光电科技有限公司 Intelligent nursing device
CN103976740A (en) * 2014-05-23 2014-08-13 清华大学 Network environment-oriented electroencephalogram identification system and network environment-oriented electroencephalogram identification method
CN103989480A (en) * 2014-06-12 2014-08-20 福州大学 Knee osteoarthritis motion monitoring method based on Android system
CN104013470A (en) * 2014-06-19 2014-09-03 江南大学 Intelligent combined body sign monitoring and positioning device based in Android system
CN104042196A (en) * 2013-03-12 2014-09-17 李晓龙 Real-time health monitoring and intelligent pre-warning system and method
CN104091294A (en) * 2014-07-02 2014-10-08 合肥工业大学 Integrated cloud service system used for old person guardianship
CN104966327A (en) * 2015-06-15 2015-10-07 北京智联新科信息技术有限公司 System and method for monitoring health and registering attendance on basis of internet of things
CN106859633A (en) * 2017-01-06 2017-06-20 湖北工业大学 Mobile ecg telemonitoring early warning system
CN108451512A (en) * 2017-02-22 2018-08-28 长沙闽壹湖电子科技有限责任公司 A kind of wearable medical monitoring equipment based on Android phone
CN108498087A (en) * 2018-05-23 2018-09-07 文丹 A kind of sign monitoring toilet seat based on Internet of Things

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104042196A (en) * 2013-03-12 2014-09-17 李晓龙 Real-time health monitoring and intelligent pre-warning system and method
CN103431868A (en) * 2013-08-15 2013-12-11 费军 Central monitoring locating system for wounded personnel unattended
CN103536278A (en) * 2013-09-18 2014-01-29 北京航空航天大学 Novel health monitoring system
CN103646164A (en) * 2013-11-14 2014-03-19 成都博约创信科技有限责任公司 Portable comprehensive human health detecting system and method thereof
CN103690285A (en) * 2013-12-16 2014-04-02 北京京东方光电科技有限公司 Intelligent nursing device
US9596992B2 (en) 2013-12-16 2017-03-21 Boe Technology Group Co., Ltd. Intelligent nursing care device
CN103690285B (en) * 2013-12-16 2015-08-05 北京京东方光电科技有限公司 A kind of intelligent nursing device
CN103976740B (en) * 2014-05-23 2016-03-30 清华大学 A kind of EEG signals identification system of network-oriented environment and recognition methods
CN103976740A (en) * 2014-05-23 2014-08-13 清华大学 Network environment-oriented electroencephalogram identification system and network environment-oriented electroencephalogram identification method
CN103989480B (en) * 2014-06-12 2016-05-04 福州大学 Knee osteoarthritis motion monitoring method based on Android system
CN103989480A (en) * 2014-06-12 2014-08-20 福州大学 Knee osteoarthritis motion monitoring method based on Android system
CN104013470A (en) * 2014-06-19 2014-09-03 江南大学 Intelligent combined body sign monitoring and positioning device based in Android system
CN104091294A (en) * 2014-07-02 2014-10-08 合肥工业大学 Integrated cloud service system used for old person guardianship
CN104966327A (en) * 2015-06-15 2015-10-07 北京智联新科信息技术有限公司 System and method for monitoring health and registering attendance on basis of internet of things
CN106859633A (en) * 2017-01-06 2017-06-20 湖北工业大学 Mobile ecg telemonitoring early warning system
CN108451512A (en) * 2017-02-22 2018-08-28 长沙闽壹湖电子科技有限责任公司 A kind of wearable medical monitoring equipment based on Android phone
CN108498087A (en) * 2018-05-23 2018-09-07 文丹 A kind of sign monitoring toilet seat based on Internet of Things

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