Summary of the invention
For solving one or more problem of the prior art, the present invention is proposed.
A kind of real-time health monitoring and intelligent early-warning system are provided according to an aspect of the present invention, have it is characterized in that, having comprised: physiological parameter is obtained subsystem, be worn on user's body, the physiological feature parameter of sensing user; Intelligent communications terminal, obtains subsystem from physiological parameter and receives user's physiological feature parameter, and user's physiological feature parameter and/or user's physiological feature parameter and the comparative result of corresponding abnormal threshold value are sent to remote monitoring service platform; And remote monitoring service platform, reception user's physiological parameter, the healthy early warning of the physiological parameter of output based on user.
Alternatively, described physiological parameter is obtained subsystem and is comprised multiple 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 is realized intelligent communications terminal and is obtained communicating by letter between subsystem with physiological parameter; Described self-learning module is the abnormal threshold value of difference of the physiological feature Parameter statistical analysis result of different user setting based in a period of time; The automatic monitor user ' figure of described figure's monitoring module, falling down or have user potentially provides user to fall down alarm while falling down crisis; The locating information of described locating information acquisition module output based on mobile communication location and satellite navigation location; And described core processing module is described user's physiological feature parameter and corresponding abnormal threshold value comparison, and by the one or more remote monitoring service platforms that send to lower: user's physiological feature parameter; User's physiological feature parameter and the corresponding comparative result of threshold value extremely; And user falls down alarm.
Alternatively, described remote monitoring service platform comprises: far-end server, receive from intelligent communications terminal with lower one or more: user's physiological feature parameter; User's physiological feature parameter and the corresponding comparative result of threshold value extremely; And user falls down alarm, and user's healthy early warning is provided and/or falls down alarm to user or other related sides; And data base, storage user's health account, the physiological feature parameter of described health account based on user and/or the comparative result of physiological feature parameter and corresponding abnormal thresholding.
Alternatively, described physiological feature parameter comprises with lower one or more: electrocardiogram, body temperature, blood pressure, heart rate, blood glucose, blood oxygen saturation.
A kind of real-time health monitoring and method for early warning are provided according to a further aspect in the invention, have it is characterized in that, having comprised: the physiological feature parameter that gathers user; Physiological feature parameter and corresponding abnormal thresholding are compared, so that healthy early warning to be provided; The comparative result of physiological feature parameter and/or physiological feature parameter and corresponding abnormal thresholding is sent to remote monitoring service platform; And the comparative result of remote monitoring service platform based on physiological feature parameter and/or physiological feature parameter and corresponding abnormal threshold value sends healthy early warning to user and/or other related sides.
Alternatively, the method also comprises: the figure of monitor user ' falls down alarm to provide.
Alternatively, the method also comprises: by the statistical disposition of the physiological feature parameter to user within a period of time, for different user arranges different abnormal threshold values.
This health monitoring in real time and intelligent early-warning system, the appointed place that uses sensing technology and the network communications technology that health monitoring service extension can be arrived to communication network, by user physiological parameter being carried out to the system of continuous study on monitoring, shorten the distance between medical personnel, relatives and destination service crowd.Medical personnel can provide Health Care Services timely for user according to the long-range physiologic information transmitting; Relatives can obtain the positional information of user and current state in time to give in time the required help of user or rescue.
In health monitoring in real time and intelligent early-warning system, each physiological feature sensor is worn on effective body part of human body, the relevant physical sign parameters of Real-time Collection human body for a long time, and by bluetooth communication interface, is dealt into the result collecting in the intelligent communications terminal that wearer carries.Program in intelligent communications terminal is passed through blue tooth interface, collect, analyze, process, show the data of each physiological feature sensor, and the data message after analyzing and processing is uploaded to the remote server of hospital by network, doctor checks the health information of each user at the local game server of any network coverage, feedback and advisory information can also be re-send to intelligent terminal's screen of user simultaneously.Wherein intellectual analysis and the warning function on Android platform; can also be to the data analysis processing gathering; by analyzing physiological feature parameter and the attitude parameter of user; judge whether user occurs the critical condition such as health is abnormal or fall down; such as blood pressure is higher, rapid heart rate, while the situation such as falling down, and can remind user to take a good rest and take in time relief measure in modes such as sound, screen prompt, vibrations in the time that the critical condition such as health is abnormal or fall down appear in user.After intelligent analysis, judge whether to contact user relatives and transmit switch fault report to inform critical condition and the current geographic position of user, so that family members know old man's critical condition in the very first time.That can also need to guard some as required carries out the monitoring of position as special populations such as patients of senile dementia, once monitoring user goes out, according to setting according to certain time interval, the active position information exchange of user is crossed to mobile phone that short message mode sends to relatives so that relatives can grasp the whereabouts of user, effectively avoid the wander away generation of situation of user.
Detailed description of the invention
Hereinafter, the preferred embodiments of the present invention are described with reference to the accompanying drawings.Run through accompanying drawing, same reference numbers is used to indicate similar elements.
Fig. 1 has schematically shown according to the population structure of the real-time health monitoring of the embodiment of the present invention and 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 multiple Wearable physiological feature sensors, described multiple Wearable physiological feature sensor is worn on respectively the each corresponding effective site of user's body, such as, for the physiological feature parameter of sensing user, 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 carried out Real-Time Monitoring user's health status and provide healthy early warning to user in the time of physiological feature abnormal parameters.In addition, intelligent communications terminal 120 can send to remote monitoring platform 130 for further processing by physiological feature parameter by for example move/UNICOM/communication network.Alternatively, intelligent communications terminal 120 all right monitor user ' figures' abnormal change, to send the alarm that user falls down.Alternatively, the alarm that intelligent communications terminal 120 can be fallen down healthy early warning and user sends to remote monitoring platform 130.When intelligent communications terminal 120 is flat, can be placed in user's pocket or otherwise be carried by 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 carried out Real-Time Monitoring user's health status and provide healthy early warning by such as health prompt note etc. to user in the time of 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 nurse intelligence, automatically carry out information interaction, to inform in time user's health status.Alternatively, the alarm that remote monitoring platform 130 can be fallen down the healthy early warning from intelligent communications terminal 120 and user sends to user relatives or community nurse.Fig. 2 has schematically shown physiological parameter and has obtained the structure of 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, for physiological feature parameters 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 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 for the blood pressure of sensing user and be converted into the signal of telecommunication.Processor module 320 is for controlling the integrated operation of sensor 210 and the sensing result of sensor assembly 310 being carried out A/D conversion etc. and obtained the physiological feature parameter of digital form.Wireless communication module 330 is for being wirelessly transmitted to intelligent communications terminal 120 by physiological feature parameter.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 for example, for collecting the Monitoring Data of obtaining each sensor of subsystem 110 from physiological parameter, the Bluetooth function that can use intelligent terminal to carry by wireless mode.The Bluetooth AP I that Android platform provides can realize the communication between bluetooth equipment.
Self-learning module 430 is for realizing the self-learning function of physiological feature parameter.Because user's individual variation is very large, as very large in different people's the parameter differences such as heart rate, blood pressure, thus in carrying out exception monitoring, can not an abnormal thresholding be set for all users are unified, otherwise can cause the wrong report of greater probability.Native system designed, designed a self-learning module 430, in the time that user uses system for the first time, system meeting continuous measurement a period of time, the physiological feature parameter of gained is carried out to the statistical disposition abnormal 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 fallen down alarm for realizing user figure's abnormality detection and providing alternatively.General smart mobile phone all has the attitude transducers such as 3-axis acceleration sensor, direction sensor, range sensor on the market.Figure's monitoring module 440 utilizes the inertial sensors such as the gyroscope that carries in intelligent mobile terminal, 3-axis acceleration sensor, direction sensor, range sensor to realize attitude detection, can be by gravitational vectors angle and system 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 overall trend exactly.Even have potentially while falling down crisis 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 for obtaining user's locating information.Locating information acquisition module merges the seamless location of mobile communication, satellite navigation, avoids relying on merely that Gps location may occur is not good and cannot obtain the defect of detailed locating information due to signal, and intelligence realizes location requirement.
Core processing module 460 compares for the physiological feature parameter to receiving and for example corresponding abnormal threshold value, healthy early warning to be provided and intuitively to show on mobile phone screen.In addition, core processing module 460 can send to remote monitoring service platform 130 with the comparative result of corresponding abnormal threshold value physiological feature parameter or physiological feature parameter, automatically to send remote alarms.Core processing module 460 adopts modularized design, be divided into foreground interface module and background processing module, background processing module for example can comprise the 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.Foreground interface module can show the result of background processing module on the screen of intelligent communications terminal 120, so that healthy early warning to be for example 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.The health and fitness information that far-end server 510 gathers for receiving, manage intelligent terminal.Far-end server 510 is except the health and fitness information in time user being sent is preserved with document form, also by these health and fitness informations, user's health status is monitored in real time, can beam back health prompt note to user mobile phone, also can be in effect of finding when emergency situation to send warning information and play to user mobile phone and user relatives multiple alarm.Personal illness and health plan, the personal health electronic record etc. set up according to the information of collecting can be stored in data base 520.
Fig. 6 has schematically shown according to the flow chart of the real-time health monitoring of the embodiment of the present invention and intelligent early-warning method 600.As shown in Figure 6, the method starts at step 601 place.In step 602, gather user's physiological feature parameter, such as blood pressure, blood oxygen saturation, electrocardiogram, heart rate, body temperature, blood glucose etc.In step 603, physiological feature parameter and corresponding abnormal 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 abnormal thresholding is sent to remote monitoring service platform.In step 605, the comparative result of remote monitoring service platform based on physiological feature parameter and/or physiological feature parameter and corresponding abnormal thresholding sends healthy early warning to user and/or other related sides.The method finishes in step 606.Described other related sides comprise kith and kin, community nurse, hospital of user user etc.
Alternatively, the method also comprises that the figure of monitor user ' falls down alarm to provide.Alternatively, the method also comprises that the comparative result based on physiological feature parameter and/or physiological feature parameter and corresponding abnormal thresholding sets up user's health account.
Describe the present invention by preferred embodiment although above; but the present invention is not limited to above-mentioned specific embodiment; do not deviating under spirit of the present invention and real situation thereof; skilled personnel can make according to the present invention various corresponding changes and distortion, and these corresponding changes and distortion all should belong to claims protection domain of the present invention within.