CN106940757A - Health supervision service method and collaboration host computer system based on Internet of Things - Google Patents

Health supervision service method and collaboration host computer system based on Internet of Things Download PDF

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Publication number
CN106940757A
CN106940757A CN201710153173.0A CN201710153173A CN106940757A CN 106940757 A CN106940757 A CN 106940757A CN 201710153173 A CN201710153173 A CN 201710153173A CN 106940757 A CN106940757 A CN 106940757A
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health
information
monitoring
data
service
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CN106940757B (en
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朱其龙
徐力
颜修海
王章顺
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SHENZHEN ALM SOUND TECHNOLOGY CO., LTD.
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Shenzhen Alm Sound Technology Co Ltd
Shenzhen Cannice Technology Co Ltd
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    • G06F19/3418
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Primary Health Care (AREA)
  • Computing Systems (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present invention discloses a kind of health supervision service method based on Internet of Things, and this method includes:Cooperate with host computer system according to the monitoring service object of association index, multi-source classification acquisition process and cross division integration processing are carried out to the health collection information that network and its upload of health and fitness information collecting device are gathered from health and fitness information, cross division collection information is obtained;The collaboration host computer system carries out risk assessment and/or emergency discriminance analysis to the history health data in cross division information and real time health data, and according to the health supervision prediction scheme information pre-established, carry out corresponding healthy living circulation and instruct and/or start the healthy emergent service of transferring to carry out emergency scheduling implementation management.Host computer system is cooperateed with invention additionally discloses one kind.The present invention carries out integrated treatment and analysis to the health collection information from health and fitness information network, and is provided personalized service according to analysis result, provides response quickly for guardianship, comprehensive, perfect monitoring service.

Description

Health supervision service method and collaboration host computer system based on Internet of Things
Technical field
The present invention relates to internet of things field, more particularly to a kind of health supervision service method and association based on Internet of Things Same host computer system.
Background technology
With continuing to develop for entire society's economic level, people are growing to the demand of health and safety, and interconnect The development of net and intelligence science and technology so that health monitoring increasingly tends to be intelligent with monitoring.
Existing intelligent monitor service is mainly the intelligent mobile health monitoring by personal Wearable or domestic portable Equipment carries out health monitoring, obtains the health data of user and health monitoring information is sent to using smart mobile phone or computer as generation The main side equipment of table, system host or server are uploaded to by main side equipment.Current intelligent health monitoring equipment is less frequently utilized week The Internet of Things service that surrounding environment is provided;Or, although also there are some Internet of Things to possess Intellisense and data communication service ability, But general lack of the live application service ability for health monitoring and monitoring.
Health supervision service for user is according to acquired user health data pair by system host or server User provides various Health information services or carries out remote health monitoring emergency scheduling service when occurring emergency.But, This monitoring method of servicing often only according to user partial health data, and isolated between all kinds of health datas lateral ties and The vertical linkage between the same class data that different time is obtained, it is impossible to which comprehensive Various types of data proposes more perfect monitoring to user Service, such as emergency identification if only more frequency by judgement to local data characteristics, often occurs Numerous deviation and erroneous judgement.
In addition, the emergent monitoring dispatch service of intelligent health relies solely on distance host, this mode response speed is slow, such as It is not good or when can not connect distance host in network, it is impossible to quick response.
The content of the invention
It is a primary object of the present invention to provide a kind of health supervision service method based on Internet of Things and collaboration main frame system A kind of system, it is desirable to provide fast response time, comprehensive treatment capability is strong, services perfect monitoring service mechanism.
To achieve the above object, the present invention proposes a kind of health supervision service method based on Internet of Things, including following step Suddenly:
Host computer system is cooperateed with according to the monitoring service object of association index, to gathering network and its health from health and fitness information The health collection information that information collecting device is uploaded carries out multi-source classification acquisition process and cross division integration processing, is intersected Classification collection information;
The collaboration host computer system carries out risk to the history health data in cross division information and real time health data Assess and emergency discriminance analysis, and according to the health supervision prediction scheme information pre-established, carry out corresponding healthy living and follow Fourth finger is led and/or started the emergent service progress emergency scheduling of transferring of health and implements management.
It is preferred that, the risk assessment, including:
The monitoring index subjet included according to the corresponding health supervision prediction scheme of the monitoring service object carries out data and referred to Statistical analysis is marked, and assesses the potential relevance in multi-source history health data, the history health data includes:History health Monitoring Indexes data, historical movement behavior monitoring data, history healthy living daily life data;
According to data target statistical analysis and the assessment result of potential relevance, is being specified to the monitoring service object week Daily life situation, holistic health level and risk index in phase are estimated.
It is preferred that, the healthy living circulation is instructed to be to believe based on health supervision prediction scheme and the health status risk assessment Breath, provides healthy scheme and the tutorial message of plan, the tutorial message includes to the monitoring service object:
Health monitoring project setting, diet nutritional adjustment, sport and fitness project setting, the class of activity and scope adjustment, Live and combined with environment of an activation adjustment, health examination scheme with least one or two or more in medical plan.
It is preferred that, the emergency discriminance analysis, including:
Feature extraction and calculation is carried out to data in real-time cross division collection information, emergency feature value is obtained;
Acquisition emergency feature value will be calculated to be contrasted with pre-programmed emergency characteristic value, type of emergency event will be determined, it is described tight Anxious event type includes:Physiological health Indexes Abnormality, motor behavior anomalous identification and/or environment event are abnormal.
It is preferred that, the emergency discriminance analysis also includes:
The potential exception of motion or action is judged by motor behavior class history health data and real time health gathered data Feature;
By real time health gathered data and potential abnormal related information, and the front and rear real time health data of potential exception Comparative analysis, confirms or excludes whether the potential off-note belongs to the abnormal emergency of the motor behavior.
It is preferred that, the emergent service of transferring of health includes one of in the following manner or combination:
Predetermined guardian is notified in a predefined manner;
Notify or directly invoke in a predefined manner predetermined medical rescue resource;
In the way of predetermined health supervision information pushing flash appeal information issue is carried out in predetermined regional extent of seeking help;
Field monitoring is carried out in a predefined manner to service with monitoring;
The request sent according to salvor using its communication terminal, transfers the institute in the healthy acquisition database State history health data and real time health data.
It is preferred that, the predetermined way is notified, including:Short message and wechat sending out notice, wireless beacon message broadcasting are pushed Notify and/or streaming media broadcast resource information sending out notice.
It is preferred that, the health is emergent to transfer service, also including issue flash appeal information, wherein the flash appeal is believed Breath is issued as the position that service object is guarded described in people's pocket transmission to conforming to a predetermined condition based on the health supervision prediction scheme and worked as Preceding status information.
In addition, to achieve the above object, the present invention also provides a kind of collaboration host computer system, the collaboration host computer system bag Include:
Processing module, for the monitoring service object according to association index, to gathering network and its strong from health and fitness information The health collection information that health information collecting device is uploaded carries out multi-source classification acquisition process and cross division integration processing, is handed over Fork classification collection information;
Monitoring module, for carrying out risk assessment to the history health data in cross division information and real time health data With emergency discriminance analysis, and according to the health supervision prediction scheme information pre-established, carry out corresponding healthy living circulation and refers to Lead and/or start the emergent service progress emergency scheduling of transferring of health and implement management.
It is preferred that, the monitoring module includes:
Risk assessment unit, the monitoring for being included according to the corresponding health supervision prediction scheme of the monitoring service object refers to Mark project carries out data target statistical analysis, and assesses the potential relevance in multi-source history health data, the history health Data include:History health indicator Monitoring Data, historical movement behavior monitoring data, history healthy living daily life data;
According to data target statistical analysis and the assessment result of potential relevance, is being specified to the monitoring service object week Daily life situation, holistic health level and risk index in phase are estimated.
The present invention is by cooperateing with host computer system according to the monitoring service object of association index, to gathering net from health and fitness information The health collection information that network and its health and fitness information collecting device are uploaded is carried out at multi-source classification acquisition process and cross division integration Reason, obtains cross division collection information;The collaboration host computer system is to the history health data in cross division information and in real time Health data carries out risk assessment and/or emergency discriminance analysis, and according to the health supervision prediction scheme information pre-established, enters The corresponding healthy living circulation of row instructs and/or started the healthy emergent service of transferring to carry out emergency scheduling implementation management.By with Upper type, the present invention is based on systematic collaboration, and different health supervisions are serviced with the corresponding intersection of object by cooperateing with host computer system Classification collection information carries out Efficient Remote data referencing and collaboration processing, so that the healthy number of the history for servicing health supervision object Quickly analyzed according to real time health data;In the way of healthy big data is analyzed, data mathematics is made full use of, is dug to greatest extent Information hiding value is dug, and the history health data that object is serviced health supervision is analyzed, and the big number of information is gathered by cross division According to analysis, the health status risk assessment with the different potential interdependences of health monitoring data is obtained, and based on healthy shape Condition risk assessment carries out healthy scheme circulation and instructed, and realizes that more fully effective healthy living instructs monitoring service;By right The real time health data analysis of health supervision service object carries out emergency identifying processing, is associated and believed by potential off-note Breath analysis, the tracking of potential anomalous event are compared so that the present invention has more preferable reliability to healthy emergency identification;Knowing When being clipped to healthy emergency, being started in time with the emergent monitoring dispatch service management that collaboration main frame is combined based on Internet of Things should Management is implemented in anxious scheduling, emergency assistance services is realized with field resources scheduling by the issue of flash appeal information, for urgent strong Health monitoring has the more rich Site Service ability effectively with quick response;It is strong by being pre-established to health supervision service object Health guards prediction scheme information so that health supervision service of the present invention has preferably maintainability, and specific aim personalization monitoring Service.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with Structure according to these accompanying drawings obtains other accompanying drawings.
Fig. 1 services the schematic flow sheet of the embodiment of method one for health supervision of the present invention based on Internet of Things;
Fig. 2 services health monitoring system Service Management in the embodiment of method one for health supervision of the present invention based on Internet of Things Schematic diagram;
Fig. 3 services health monitoring system service in the embodiment of method one for health supervision of the present invention based on Internet of Things and illustrated Figure;
Fig. 4 cooperates with the high-level schematic functional block diagram of the embodiment of host computer system one for the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention proposes a kind of health supervision service method based on Internet of Things.
Reference picture 1, Fig. 1 services the flow chart of the embodiment of method one for health supervision of the present invention based on Internet of Things.
In the present embodiment, it is somebody's turn to do the health supervision based on Internet of Things and services method, comprises the following steps:
Step S10, the collaboration host computer system is according to the monitoring service object of association index, to being gathered from health and fitness information The health collection information that network and its health and fitness information collecting device are uploaded carries out multi-source classification acquisition process and cross division is integrated Processing, obtains cross division collection information;
Monitored in the present invention service object can be equipment can also be in user, the present embodiment using monitor User Status as Example is illustrated.Such as Fig. 2 health monitoring system Service Management schematic diagrames, health supervision service is based on health supervision task cooperation pipe Platform, to appointing when health supervision task cooperation management platform is when towards the monitoring service object or guards prediction scheme configuration Business collaboration processing procedure management, will different process tasks be assigned to local main frame (work station), intelligent router, service Node and mobile Internet terminal and server native different disposal module, health supervision task cooperation management platform include Health supervision information pushing and health supervision program management, wherein health supervision information pushing include short message and wechat pushes letter Breath, wireless beacon message broadcasting information, streaming media broadcast resource information, health supervision program management include health service prediction scheme pipe Reason, health service subscription management, health service standardized administration, wherein wireless beacon message broadcasting are to be set by the Internet of things node The standby monitoring sent with radio broadcasting mode services beacon message, can be made different by service beacon pattern and parameter configuration The monitoring service beacon message allows with different standards, pattern, sends parameter progress wireless beacon broadcast transmission, health clothes Specification of being engaged in includes the specification of classified service code, service type, service content scope, the task method of salary distribution and its related mechanism. Each module effect will be illustrated with reference to case.Multiple system hosts, including local area systems master can be included by cooperateing with host computer system Machine, internet system main frame, local area systems main frame and multiple health and fitness information collecting devices are communicated to connect, internet system main frame with Multiple local area systems host communication connections, local area systems main frame is then directly connected with health and fitness information collecting device.
In the present embodiment, monitoring device for can to human body certain or it is some health with motion index continued to monitor, divide Analysis and a kind of intelligent measure equipment assessed.By using, wear and monitoring mode and usage frequency, wearable movement can be divided into Monitoring device, for carrying out real-time continuous monitoring monitoring to motion and/or health status in the mode of dressing, including:Motion prison Measurement equipment is (such as:Acceleration transducer, gyro sensor etc.), health measurement and custodial care facility (such as clinical thermometer, cardiotach ometer, blood Pressure meter etc.);Household mobile monitoring device, for carrying out daily or periodic measurement or continuation prison to motion and/or health status Survey monitoring (such as:Sphygmomanometer, batheroom scale, blood glucose meter, fatty measuring instrument, heart sound monitor, sleep monitor etc.).
The association index is between the objects such as equipment, user, authority, region, system based on affiliated partner database Mutual index, including according to health monitoring equipment id information to it is described monitoring service object id information index, wherein same Health monitoring equipment is in the different health monitoring periods, and the monitoring service object obtained by association index can To differ;When the same health monitoring equipment is associated with multiple monitoring service objects, by described strong The lookup of the health monitoring temporal information included in health collection information, obtains the id information of monitoring service object.It is described Affiliated partner database, is pre-established by association guardianship bindings:It is soft that this operates with mobile main side equipment application Part, is uploaded by associated configuration and sets up association binding relationship, and preserved by collaboration host computer system to linked database;Associated configuration The equipment id information that the operation of upload is included for dynamic main side equipment in the health monitoring information for the monitoring device transmission that secures good health For it is unbound when, give tacit consent to and regard the monitoring service object of mobile main side apparatus bound as the association binding relationship.Association Binding relationship includes:The id information of health monitoring equipment, the id information for guarding service object, binding initial time, binding terminate Time (option);Same health monitoring equipment can associate different monitoring service objects in different time sections, but same Specified monitoring service object can only be associated in time.
In the present embodiment, when collection starts, mobile monitoring equipment, can be by institute after dynamic health collection information is got The health collection peritropous health and fitness information collecting device of information is stated to be transmitted.Health and fitness information collecting device gets mobile monitoring After the health collection information that equipment is sent, network is gathered by health and fitness information and sends health collection information to collaboration main frame system System, specifically, health and fitness information collecting device is automatically selected based on network mode is uploaded to the association by the health collection information Same host computer system, wherein the health and fitness information collecting device carries out the network mode according to following any or combination information Automatically select:The monitoring state of presently described health monitoring equipment, health and fitness information acquisition tasks and scope, current health information are adopted The availability of the network mode of collection, and the network mode of predetermined health and fitness information collection automatically select mechanism and its switching bar Part.Specifically include network selection (Internet of Things, wireless network, internet), the selection of Data Communication in Computer Networks interface (with uploading webpage Location, upload web-page interface, upload database interface) etc..When health collection information is uploaded, data communication method will also be selected Select, including the communication of real-time data communication, non-real-time data, when taking the non-real-time data to communicate, above-mentioned packet depends on The request to the health monitoring time range sent in the collaboration host computer system by web-page interface mode.Cooperate with main frame System is when receiving health collection information, by the monitoring service object according to association index, to gathering net from health and fitness information The health collection information that network and its health and fitness information collecting device are uploaded is carried out at multi-source classification acquisition process and cross division integration Reason, obtains cross division collection information.
Wherein described multi-source classification acquisition process includes multi-source classification collection and handled with multi-source classification, and the multi-source classification is adopted Collection refers to the same monitoring service object, is originated in the same health monitoring time by multiple different monitoring informations Obtain monitoring state information, such as in the same health monitoring time, health indicator (such as body of the monitoring service object Temperature, heart rate, blood pressure, breathing, sleep) and motion index obtained by the different health monitoring monitoring of equipment;And the multi-source Classification processing will then refer to at the data such as data analysis, separation screening, feature extraction, the Classifying Sum of information progress of acquisition Reason, forms multi-source classification collection information.Specifically, multi-source classification collection information includes following classification:Motor behavior Monitoring Data: Such as orientation, acceleration, angular acceleration, meter step, amount of exercise, the monitoring of other behaviors (such as sports category, attitude);Health indicator is supervised Survey data:Such as body temperature, heart rate, blood pressure, body weight, breathing, sleep;Location tracking Monitoring Data:Positional information, scope of activities information (turnover of such as gate inhibition);Environmental monitoring data:Such as humiture, vibration, brightness, smog, noise, radiation, PM2.5, air quality Index (AQI) etc.;Environmental objects are monitored:Such as touch-control, thermal infrared, light, image, sound, wagon flow, the monitoring of stream of people's event. And cross division integration processing be then to the same health supervision object the identical health monitoring time multi-source classify Collection information is handled, including sets up multi-source cross reference, the processing of multi-source data splitting, wherein the multi-source cross reference is The classification health collection information sets up data as setting up data source by the source and/or classification of the health monitoring information Storehouse, then quoted by the different assembled classifications of the different health supervision objects, the multi-source data splitting processing is then Data analysis, feature extraction, screening including carrying out in a joint manner collect and set up new assembled classification, so as to be handed over Fork classification collection information.
Step S20, the collaboration host computer system is to the history health data and real time health data in cross division information Risk assessment and emergency discriminance analysis are carried out, and according to the health supervision prediction scheme information pre-established, is carried out corresponding strong Health life circulation instructs and/or started the healthy emergent service of transferring to carry out emergency scheduling implementation management.
In the present embodiment, when obtaining cross division collection information, collaboration host computer system will gather information to cross division Analyzed, and according to the health supervision prediction scheme pre-established, started corresponding health supervision service.Such as Fig. 3 health supervisions system System service schematic diagram, health supervision service includes healthy living circulation guide service, healthy emergency scheduling service and health consultation Assistant services, and wherein healthy living guide service includes the analysis of classification health collection information history health data, health status wind Danger is assessed, the circulation of healthy scheme is instructed, healthy emergency scheduling service include the data analysis of classification health collection information real time health, Emergency identifying processing, emergency scheduling implement management, and health consultation assistant service includes classification health collection information specialist and examined Disconnected analysis, consulting reply process, consulting assistant implement management.The cross division collection information includes history health data and reality When health data, history health data again include health indicator Monitoring Data, motor behavior Monitoring Data, healthy living daily life number According to.The analysis for cooperateing with host computer system to gather information to cross division is included to the analysis of history health data and real time health data again Analysis.
The analysis of history health data is referred to collaboration host computer system and entered based on the history health data in cross division collection information Row risk assessment.Specifically, carrying out data target system to the customized monitoring index subjet for guarding service object by health prison prediction scheme Meter analysis, and assess the potential relevance in multi-source history health data, and according to the potential of statistical analysis and potential relevance As a result, the situation and holistic health level and risk index in terms of the daily life such as health, motion, health care within the cycle of specifying It is estimated.Such as in the assessment cycle history health data statistical indicator;The history of assessment cycle and other cycles The contrast of health data statistical indicator;The variation tendency of the history health data and its statistical indicator in assessment cycle;Assess The contrast of the history health data statistical indicator and healthy reference index in cycle, the healthy reference index includes:Customization Target indicator, healthy normal average value or critical indicator, affiliated person's group mean index.
Real time health data analysis refers to collaboration host computer system and integrates processing in multi-source classification acquisition process and cross division On the basis of carry out emergency identification, emergency is identified as servicing prediction scheme by the monitoring to the monitoring service object Mesh, the emergency feature value exported according to real-time characteristic extraction algorithm judges with the matching degree of the default emergency feature value A kind of real time data identifying processing method, including one below or combination:The judgement of physiological health Indexes Abnormality (including body temperature, the heart Rate, sleep, blood pressure, breathing);Motor behavior anomalous identification;Environment event judges extremely.Wherein motor behavior anomalous identification is first The potential off-note of motion or action is judged by motor behavior class health monitoring equipment, then it is real-time by other various combinations Health monitoring data confirm with potential abnormal related information or exclude whether the potential off-note belongs to the motor behavior Abnormal emergency, motor behavior class health monitoring equipment includes orientation (digital compass) sensor, gyroscope (containing acceleration Degree, angular acceleration) sensor, vibrating sensor, GPS positioning device, the abnormal emergency of motor behavior includes unexpected abnormality Tumble, for a long time exception are abnormal etc. without sound, zone of action.Specifically, being fallen for unexpected abnormality, acceleration, top are first passed through Whether spiral shell instrument Monitoring Data first judges potential abnormal tumble feature, then judged by acceleration, gyroscope after falling for a long time not Get up, and judge whether to belong to what the unexpected abnormality was fallen according to the potential abnormal change for falling front and rear physiological health index Emergency;For abnormal without sound for a long time, first judge potential different by acceleration, gyroscope, positioner Monitoring Data Often normal dormancy state can be excluded without sound feature, then by the monitoring with dormancy time, physiological health index;It is different for zone of action Chang Ze is to leave normal activity region (exclusion normal travelling) for a long time.
It is worth noting that, the analysis of history health data and the not completely self-contained two parts of real time health data analysis, Both are inter-related.Specifically, motor behavior anomalous identification, refers to and first passes through motor behavior class health monitoring equipment judgement fortune Dynamic or action potential off-note, then it is true by other various combination real time health Monitoring Datas and potential abnormal related information Recognize or exclude whether the potential off-note belongs to the abnormal emergency of the motor behavior, abnormal association letter therein Breath, just includes current state information, history health data, the front and rear Data Comparison of potential exception.
In the present embodiment, divided by gathering history health data and real time health data in information to cross division Analysis, collaboration host computer system will press the health supervision prediction scheme to the monitoring service object, based on health status risk assessment letter The healthy living scheme of progress, plan ground is ceased to instruct and advise, adjusted including health monitoring project setting, diet nutritional, Sport and fitness project setting, the class of activity and scope adjustment, inhabitation and environment of an activation adjustment, health examination scheme and medical treatment meter At least one or two or more combination in drawing.
When recognizing emergency, collaboration host computer system will start the healthy service of transferring of meeting an urgent need, and emergency scheduling service refers to The monitoring service carried out according to the health supervision prediction scheme, including:
Predetermined guardian is notified in a predefined manner;
Notify or directly invoke in a predefined manner predetermined medical rescue resource;
In the way of predetermined health supervision information pushing flash appeal information issue is carried out in predetermined regional extent of seeking help;
Field monitoring monitoring service is carried out in a predefined manner;
The request sent according to salvor using its communication terminal, transfers the institute in the healthy acquisition database State history health data and real time health data.
Predetermined guardian wherein is notified for reservation mode, according to priority can sequentially be notified, first notification priority High guardian, reinforms the guardian of low priority, or when the guardian of high priority notifies failure, reinform low The guardian of priority, and when guardian all notifies failure, notify relevant staff;And the mode notified is various , Advise By Wire can be notified, can also by push platform notify, for example short message, wechat, wireless beacon (such as Bluetooth beacon, WiFi push beacon) message broadcasting push platform, streaming media broadcast resource information push platform, wherein the wireless beacon message Broadcast as servicing beacon message by the monitoring that the Internet of things node equipment is sent with radio broadcasting mode, pass through service beacon mould Formula and parameter configuration, the different monitoring is serviced beacon message allows with different standards, pattern, sends parameter progress nothing Line beacon broadcast is sent.For notifying or directly invoking in a predefined manner during predetermined medical rescue resource, notify or adjust first With nearest medical rescue resource.It is tight for being carried out in the way of predetermined health supervision information pushing in predetermined regional extent of seeking help Anxious help information issue, the confining method of the regional extent of seeking help is (as having wireless beacon to send by information transmitting apparatus The intelligent router of ability, Internet of things node equipment) position and/or information receiver (such as communication terminal) position To determine, and flash appeal information issue is to be based on the health supervision prediction scheme, to people's pocket transmission institute that conforms to a predetermined condition State monitoring service object position and current state information, the specified conditions crowd include registration staff group, voluntarily Person group and expert group, can be according to comprehensive matching degree (such as when sending:Distance, classification, experience) or according to priority order is carried out. Guard and service for field monitoring, its content includes:The live health and fitness information collecting device is cooperateed with to be set with the health supervision It is standby to set up and keep wireless telecommunications to connect;It is live further to extract more health monitoring information;Open distance authority or Directly control scene relief facility resource.
In the present embodiment, collaboration host computer system also gathers information analysis and health supervision prediction scheme based on cross division, starts Health consultation assistant services.Specifically, cross division collection information includes expert diagnosis analysis, collaboration host computer system is being received User's consultation information when, will according to expert diagnosis analysis carry out consulting reply process.In addition, collaboration host computer system can also be Guard service object and health supervision information pushing is provided, health supervision information pushing, which includes service, includes public domain information hair Cloth, personalized health information issue;Including following any or combination push platform:Short message and wechat pushed information push flat Platform;Wireless beacon message broadcasting information push platform is (such as:Bluetooth beacon, WiFi push beacon);Streaming media broadcast resource information Platform is pushed, wherein wireless beacon message broadcasting is the monitoring garment sent by the Internet of things node equipment with radio broadcasting mode Business beacon message, can be by service beacon pattern and parameter configuration, and the different monitoring is serviced beacon messages allows with not Standard together, pattern, transmission parameter carry out wireless beacon broadcast transmission.
In the present embodiment, by cooperateing with host computer system according to the monitoring service object of association index, to from health and fitness information Gather health collection information progress multi-source classification acquisition process and cross division that network and its health and fitness information collecting device are uploaded Integration is handled, and obtains cross division collection information;The collaboration host computer system is to the history health data in cross division information Risk assessment and/or emergency discriminance analysis are carried out with real time health data, and according to the health supervision prediction scheme pre-established Information, carries out corresponding healthy living circulation and instructs and/or start the healthy emergent service of transferring to carry out emergency scheduling implementation management. By the way that with upper type, systematic collaboration is based in the present embodiment, object is serviced by cooperateing with host computer system to different health supervisions Corresponding cross division collection information carries out Efficient Remote data referencing and collaboration processing, so as to service object to health supervision History health data is quickly analyzed with real time health data;In the way of healthy big data is analyzed, data mathematics is made full use of, most The mined information of limits hides value, and the history health data for servicing health supervision object is analyzed, and is adopted by cross division Collect the analysis of information big data, obtain the health status risk assessment with the different potential interdependences of health monitoring data, and Healthy scheme circulation is carried out based on health status risk assessment to instruct, and realizes that more fully effective healthy living instructs monitoring garment Business;Emergency identifying processing is carried out by the real time health data analysis for servicing health supervision object, passes through potential exception Feature association information analysis, the tracking of potential anomalous event are compared so that the present embodiment has more preferable to healthy emergency identification Reliability;When recognizing healthy emergency, the emergent monitoring dispatch service being combined based on Internet of Things with collaboration main frame Management starts emergency scheduling and implements management in time, realizes that Emergency Assistance takes with field resources scheduling by the issue of flash appeal information Business, has the more rich Site Service ability effectively with quick response for emergency health monitoring;By to health supervision service Object pre-establishes health supervision prediction scheme information so that the present embodiment health supervision service has preferably maintainability, and Specific aim personalization monitoring service.
Host computer system is cooperateed with the present invention further provides one kind.
Reference picture 4, Fig. 4 cooperates with the high-level schematic functional block diagram of the embodiment of host computer system one for the present invention.
In the present embodiment, the collaboration host computer system includes:
Processing module 10, for the monitoring service object according to association index, to from health and fitness information gather network and its The health collection information that health and fitness information collecting device is uploaded carries out multi-source classification acquisition process and cross division integration processing, obtains Cross division gathers information;
Monitored in the present invention service object can be equipment can also be in user, the present embodiment using monitor User Status as Example is illustrated.Such as Fig. 2 health monitoring system Service Management schematic diagrames, health supervision service is based on health supervision task cooperation pipe Platform, to appointing when health supervision task cooperation management platform is when towards the monitoring service object or guards prediction scheme configuration Business collaboration processing procedure management, will different process tasks be assigned to local main frame (work station), intelligent router, service Node and mobile Internet terminal and server native different disposal module, health supervision task cooperation management platform include Health supervision information pushing and health supervision program management, wherein health supervision information pushing include short message and wechat pushes letter Breath, wireless beacon message broadcasting information, streaming media broadcast resource information, health supervision program management include health service prediction scheme pipe Reason, health service subscription management, health service standardized administration, wherein wireless beacon message broadcasting are to be set by the Internet of things node The standby monitoring sent with radio broadcasting mode services beacon message, can be made different by service beacon pattern and parameter configuration The monitoring service beacon message allows with different standards, pattern, sends parameter progress wireless beacon broadcast transmission, health clothes Specification of being engaged in includes the specification of classified service code, service type, service content scope, the task method of salary distribution and its related mechanism. Each module effect will be illustrated with reference to case.Multiple system hosts, including local area systems master can be included by cooperateing with host computer system Machine, internet system main frame, local area systems main frame and multiple health and fitness information collecting devices are communicated to connect, internet system main frame with Multiple local area systems host communication connections, local area systems main frame is then directly connected with health and fitness information collecting device.
In the present embodiment, monitoring device for can to human body certain or it is some health with motion index continued to monitor, divide Analysis and a kind of intelligent measure equipment assessed.By using, wear and monitoring mode and usage frequency, wearable movement can be divided into Monitoring device, for carrying out real-time continuous monitoring monitoring to motion and/or health status in the mode of dressing, including:Motion prison Measurement equipment is (such as:Acceleration transducer, gyro sensor etc.), health measurement and custodial care facility (such as clinical thermometer, cardiotach ometer, blood Pressure meter etc.);Household mobile monitoring device, for carrying out daily or periodic measurement or continuation prison to motion and/or health status Survey monitoring (such as:Sphygmomanometer, batheroom scale, blood glucose meter, fatty measuring instrument, heart sound monitor, sleep monitor etc.).
The health can be gathered information peritropous by mobile monitoring equipment after dynamic health collection information is got Health and fitness information collecting device is transmitted.Health and fitness information collecting device gets the health collection information of mobile monitoring equipment transmission Afterwards, gather network by health and fitness information to send health collection information to collaboration host computer system, specifically, health and fitness information collection is set The health collection information is uploaded to the collaboration host computer system by standby automatically selected based on network mode, wherein the health letter Breath collecting device carries out automatically selecting for the network mode according to following any or combination information:Presently described health monitoring The monitoring state of equipment, health and fitness information acquisition tasks and scope, the availability of the network mode of current health information gathering, and The network mode of predetermined health and fitness information collection automatically selects mechanism and its switching condition.Specifically include network selection (Internet of Things, Wireless network, internet), Data Communication in Computer Networks interface selection (upload web page address, upload web-page interface, upload database Interface) etc..When health collection information is uploaded, data communication method will also be selected, including it is real-time data communication, non real-time Data communication, when taking the non-real-time data to communicate, above-mentioned packet depends on the collaboration host computer system and passes through webpage The request to the health monitoring time range that interface mode is sent.Collaboration host computer system is receiving health collection information When, by the monitoring service object according to association index, to being gathered from health and fitness information on network and its health and fitness information collecting device The health collection information of biography carries out multi-source classification acquisition process and cross division integration processing, obtains cross division collection information.
Wherein described multi-source classification acquisition process includes multi-source classification collection and handled with multi-source classification, and the multi-source classification is adopted Collection refers to the same monitoring service object, is originated in the same health monitoring time by multiple different monitoring informations Obtain monitoring state information, such as in the same health monitoring time, health indicator (such as body of the monitoring service object Temperature, heart rate, blood pressure, breathing, sleep) and motion index obtained by the different health monitoring monitoring of equipment;And the multi-source Classification processing will then refer to at the data such as data analysis, separation screening, feature extraction, the Classifying Sum of information progress of acquisition Reason, forms multi-source classification collection information.Specifically, multi-source classification collection information includes following classification:Motor behavior Monitoring Data: Such as orientation, acceleration, angular acceleration, meter step, amount of exercise, the monitoring of other behaviors (such as sports category, attitude);Health indicator is supervised Survey data:Such as body temperature, heart rate, blood pressure, body weight, breathing, sleep;Location tracking Monitoring Data:Positional information, scope of activities information (turnover of such as gate inhibition);Environmental monitoring data:Such as humiture, vibration, brightness, smog, noise, radiation, PM2.5, air quality Index (AQI) etc.;Environmental objects are monitored:Such as touch-control, thermal infrared, light, image, sound, wagon flow, the monitoring of stream of people's event. And cross division integration processing be then to the same health supervision object the identical health monitoring time multi-source classify Collection information is handled, including sets up multi-source cross reference, the processing of multi-source data splitting, wherein the multi-source cross reference is The classification health collection information sets up data as setting up data source by the source and/or classification of the health monitoring information Storehouse, then quoted by the different assembled classifications of the different health supervision objects, the multi-source data splitting processing is then Data analysis, feature extraction, screening including carrying out in a joint manner collect and set up new assembled classification, so as to be handed over Fork classification collection information.
Monitoring module 20, is commented for carrying out risk to the history health data in cross division information and real time health data Estimate with emergency discriminance analysis, and according to the health supervision prediction scheme information pre-established, carry out corresponding healthy living circulation Instruct and/or the emergent service progress emergency scheduling of transferring of startup health implements management.
In the present embodiment, when obtaining cross division collection information, collaboration host computer system will gather information to cross division Analyzed, and according to the health supervision prediction scheme pre-established, started corresponding health supervision service.Such as Fig. 3 health supervisions system System service schematic diagram, health supervision service includes healthy living circulation guide service, healthy emergency scheduling service and health consultation Assistant services, and wherein healthy living guide service includes the analysis of classification health collection information history health data, health status wind Danger is assessed, the circulation of healthy scheme is instructed, healthy emergency scheduling service include the data analysis of classification health collection information real time health, Emergency identifying processing, emergency scheduling implement management, and health consultation assistant service includes classification health collection information specialist and examined Disconnected analysis, consulting reply process, consulting assistant implement management.The cross division collection information includes history health data and reality When health data, history health data again include health indicator Monitoring Data, motor behavior Monitoring Data, healthy living daily life number According to.The analysis for cooperateing with host computer system to gather information to cross division is included to the analysis of history health data and real time health data again Analysis.
The analysis of history health data is referred to collaboration host computer system and entered based on the history health data in cross division collection information Row risk assessment.Specifically, carrying out data target system to the customized monitoring index subjet for guarding service object by health prison prediction scheme Meter analysis, and assess the potential relevance in multi-source history health data, and according to the potential of statistical analysis and potential relevance As a result, the situation and holistic health level and risk index in terms of the daily life such as health, motion, health care within the cycle of specifying It is estimated.Such as in the assessment cycle history health data statistical indicator;The history of assessment cycle and other cycles The contrast of health data statistical indicator;The variation tendency of the history health data and its statistical indicator in assessment cycle;Assess The contrast of the history health data statistical indicator and healthy reference index in cycle, the healthy reference index includes:Customization Target indicator, healthy normal average value or critical indicator, affiliated person's group mean index.
Real time health data analysis refers to collaboration host computer system and integrates processing in multi-source classification acquisition process and cross division On the basis of carry out emergency identification, emergency is identified as servicing prediction scheme by the monitoring to the monitoring service object Mesh, the emergency feature value exported according to real-time characteristic extraction algorithm judges with the matching degree of the default emergency feature value A kind of real time data identifying processing method, including one below or combination:The judgement of physiological health Indexes Abnormality (including body temperature, the heart Rate, sleep, blood pressure, breathing);Motor behavior anomalous identification;Environment event judges extremely.Wherein motor behavior anomalous identification is first The potential off-note of motion or action is judged by motor behavior class health monitoring equipment, then it is real-time by other various combinations Health monitoring data confirm with potential abnormal related information or exclude whether the potential off-note belongs to the motor behavior Abnormal emergency, motor behavior class health monitoring equipment includes orientation (digital compass) sensor, gyroscope (containing acceleration Degree, angular acceleration) sensor, vibrating sensor, GPS positioning device, the abnormal emergency of motor behavior includes unexpected abnormality Tumble, for a long time exception are abnormal etc. without sound, zone of action.Specifically, being fallen for unexpected abnormality, acceleration, top are first passed through Whether spiral shell instrument Monitoring Data first judges potential abnormal tumble feature, then judged by acceleration, gyroscope after falling for a long time not Get up, and judge whether to belong to what the unexpected abnormality was fallen according to the potential abnormal change for falling front and rear physiological health index Emergency;For abnormal without sound for a long time, first judge potential different by acceleration, gyroscope, positioner Monitoring Data Often normal dormancy state can be excluded without sound feature, then by the monitoring with dormancy time, physiological health index;It is different for zone of action Chang Ze is to leave normal activity region (exclusion normal travelling) for a long time.
It is worth noting that, the analysis of history health data and the not completely self-contained two parts of real time health data analysis, Both are inter-related.Specifically, motor behavior anomalous identification, refers to and first passes through motor behavior class health monitoring equipment judgement fortune Dynamic or action potential off-note, then it is true by other various combination real time health Monitoring Datas and potential abnormal related information Recognize or exclude whether the potential off-note belongs to the abnormal emergency of the motor behavior, abnormal association letter therein Breath, just includes current state information, history health data, the front and rear Data Comparison of potential exception.
In the present embodiment, divided by gathering history health data and real time health data in information to cross division Analysis, collaboration host computer system will press the health supervision prediction scheme to the monitoring service object, based on health status risk assessment letter The healthy living scheme of progress, plan ground is ceased to instruct and advise, adjusted including health monitoring project setting, diet nutritional, Sport and fitness project setting, the class of activity and scope adjustment, inhabitation and environment of an activation adjustment, health examination scheme and medical treatment meter At least one or two or more combination in drawing.
When recognizing emergency, collaboration host computer system will start the healthy service of transferring of meeting an urgent need, and emergency scheduling service refers to The monitoring service carried out according to the health supervision prediction scheme, including:
Predetermined guardian is notified in a predefined manner;
Notify or directly invoke in a predefined manner predetermined medical rescue resource;
In the way of predetermined health supervision information pushing flash appeal information issue is carried out in predetermined regional extent of seeking help;
Field monitoring monitoring service is carried out in a predefined manner;
The request sent according to salvor using its communication terminal, transfers the institute in the healthy acquisition database State history health data and real time health data.
Predetermined guardian wherein is notified for reservation mode, according to priority can sequentially be notified, first notification priority High guardian, reinforms the guardian of low priority, or when the guardian of high priority notifies failure, reinform low The guardian of priority, and when guardian all notifies failure, notify relevant staff;And the mode notified is various , Advise By Wire can be notified, can also by push platform notify, for example short message, wechat, wireless beacon (such as Bluetooth beacon, WiFi push beacon) message broadcasting push platform, streaming media broadcast resource information push platform, wherein the wireless beacon message Broadcast as servicing beacon message by the monitoring that the Internet of things node equipment is sent with radio broadcasting mode, pass through service beacon mould Formula and parameter configuration, the different monitoring is serviced beacon message allows with different standards, pattern, sends parameter progress nothing Line beacon broadcast is sent.For notifying or directly invoking in a predefined manner during predetermined medical rescue resource, notify or adjust first With nearest medical rescue resource.It is tight for being carried out in the way of predetermined health supervision information pushing in predetermined regional extent of seeking help Anxious help information issue, the confining method of the regional extent of seeking help is (as having wireless beacon to send by information transmitting apparatus The intelligent router of ability, Internet of things node equipment) position and/or information receiver (such as communication terminal) position To determine, and flash appeal information issue is to be based on the health supervision prediction scheme, to people's pocket transmission institute that conforms to a predetermined condition State monitoring service object position and current state information, the specified conditions crowd include registration staff group, voluntarily Person group and expert group, can be according to comprehensive matching degree (such as when sending:Distance, classification, experience) or according to priority order is carried out. Guard and service for field monitoring, its content includes:The live health and fitness information collecting device is cooperateed with to be set with the health supervision It is standby to set up and keep wireless telecommunications to connect;It is live further to extract more health monitoring information;Open distance authority or Directly control scene relief facility resource.
In the present embodiment, collaboration host computer system also gathers information analysis and health supervision prediction scheme based on cross division, starts Health consultation assistant services.Specifically, cross division collection information includes expert diagnosis analysis, collaboration host computer system is being received User's consultation information when, will according to expert diagnosis analysis carry out consulting reply process.In addition, collaboration host computer system can also be Guard service object and health supervision information pushing is provided, health supervision information pushing, which includes service, includes public domain information hair Cloth, personalized health information issue;Including following any or combination push platform:Short message and wechat pushed information push flat Platform;Wireless beacon message broadcasting information push platform is (such as:Bluetooth beacon, WiFi push beacon);Streaming media broadcast resource information Platform is pushed, wherein wireless beacon message broadcasting is the monitoring garment sent by the Internet of things node equipment with radio broadcasting mode Business beacon message, can be by service beacon pattern and parameter configuration, and the different monitoring is serviced beacon messages allows with not Standard together, pattern, transmission parameter carry out wireless beacon broadcast transmission.
In the present embodiment, by cooperateing with host computer system according to the monitoring service object of association index, to from health and fitness information Gather health collection information progress multi-source classification acquisition process and cross division that network and its health and fitness information collecting device are uploaded Integration is handled, and obtains cross division collection information;The collaboration host computer system is to the history health data in cross division information Risk assessment and/or emergency discriminance analysis are carried out with real time health data, and according to the health supervision prediction scheme pre-established Information, carries out corresponding healthy living circulation and instructs and/or start the healthy emergent service of transferring to carry out emergency scheduling implementation management. By the way that with upper type, the present embodiment is based on systematic collaboration, object pair is serviced by cooperateing with host computer system to different health supervisions The cross division collection information answered carries out Efficient Remote data referencing and collaboration processing, so as to be gone through to health supervision service object History health data is quickly analyzed with real time health data;In the way of healthy big data is analyzed, data mathematics is made full use of, it is maximum The mined information of limit hides value, and the history health data for servicing health supervision object is analyzed, and is gathered by cross division Information big data is analyzed, and obtains the health status risk assessment with the different potential interdependences of health monitoring data, and base Healthy scheme circulation is carried out in health status risk assessment to instruct, and realizes that more fully effective healthy living instructs monitoring garment Business;Emergency identifying processing is carried out by the real time health data analysis for servicing health supervision object, passes through potential exception Feature association information analysis, the tracking of potential anomalous event are compared so that the present embodiment has more preferable to healthy emergency identification Reliability;When recognizing healthy emergency, the emergent monitoring dispatch service being combined based on Internet of Things with collaboration main frame Management starts emergency scheduling and implements management in time, realizes that Emergency Assistance takes with field resources scheduling by the issue of flash appeal information Business, has the more rich Site Service ability effectively with quick response for emergency health monitoring;By to health supervision service Object pre-establishes health supervision prediction scheme information so that the present embodiment health supervision service has preferably maintainability, and Specific aim personalization monitoring service.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills Art field, is included within the scope of the present invention.

Claims (10)

1. a kind of health supervision service method based on Internet of Things, it is characterised in that the monitoring method of servicing includes following step Suddenly:
Host computer system is cooperateed with according to the monitoring service object of association index, to gathering network and its health and fitness information from health and fitness information The health collection information that collecting device is uploaded carries out multi-source classification acquisition process and cross division integration processing, obtains cross division Gather information;
The collaboration host computer system carries out risk assessment to the history health data in cross division information and real time health data With emergency discriminance analysis, and according to the health supervision prediction scheme information pre-established, carry out corresponding healthy living circulation and refers to Lead and/or start the emergent service progress emergency scheduling of transferring of health and implement management.
2. health supervision according to claim 1 services method, it is characterised in that the risk assessment, including:
Data target system is carried out according to the monitoring index subjet that the corresponding health supervision prediction scheme of the monitoring service object includes Meter analysis, and the potential relevance in multi-source history health data is assessed, the history health data includes:History health indicator Monitoring Data, historical movement behavior monitoring data, history healthy living daily life data;
According to data target statistical analysis and the assessment result of potential relevance, to the monitoring service object within the cycle of specifying Daily life situation, holistic health level and risk index be estimated.
3. health supervision according to claim 1 services method, it is characterised in that the healthy living circulation is instructed to be base In health supervision prediction scheme and the health status risk assessment information, healthy scheme and plan are provided to the monitoring service object Tutorial message, the tutorial message includes:
Health monitoring project setting, diet nutritional adjustment, sport and fitness project setting, the class of activity and scope adjustment, inhabitation Adjusted with the environment of an activation, health examination scheme is combined with least one or two or more in medical plan.
4. health supervision according to claim 1 services method, it is characterised in that the emergency discriminance analysis, bag Include:
Feature extraction and calculation is carried out to data in real-time cross division collection information, emergency feature value is obtained;
Acquisition emergency feature value will be calculated to be contrasted with pre-programmed emergency characteristic value, type of emergency event, the urgent thing will be determined Part type includes:Physiological health Indexes Abnormality, motor behavior anomalous identification and/or environment event are abnormal.
5. health supervision according to claim 1 services method, it is characterised in that the emergency discriminance analysis, also Including:
The potential off-note of motion or action is judged by motor behavior class history health data and real time health gathered data;
Pass through the contrast of real time health gathered data and potential abnormal related information, and the front and rear real time health data of potential exception Analysis, confirms or excludes whether the potential off-note belongs to the abnormal emergency of the motor behavior.
6. health supervision according to claim 1 services method, it is characterised in that the emergent transfer service of health includes One of in the following manner or combination:
Predetermined guardian is notified in a predefined manner;
Notify or directly invoke in a predefined manner predetermined medical rescue resource;
In the way of predetermined health supervision information pushing flash appeal information issue is carried out in predetermined regional extent of seeking help;
Field monitoring is carried out in a predefined manner to service with monitoring;
The request sent according to salvor using its communication terminal, transfer in the healthy acquisition database described is gone through History health data and real time health data.
7. health supervision according to claim 6 services method, it is characterised in that the predetermined way notice, including:It is short Letter and wechat sending out notice, wireless beacon message broadcasting sending out notice and/or streaming media broadcast resource information sending out notice.
8. health supervision according to claim 1 services method, it is characterised in that the health is emergent to transfer service, also Including issue flash appeal information, wherein the flash appeal information be issued as based on the health supervision prediction scheme it is predetermined to meeting Position and the current state information of service object is guarded described in condition people's pocket transmission.
9. one kind collaboration host computer system, it is characterised in that the collaboration host computer system includes:
Processing module, for the monitoring service object according to association index, to gathering network and its health letter from health and fitness information Health collection information progress multi-source classification acquisition process and cross division integration processing that collecting device is uploaded are ceased, obtains to intersect and divides Class gathers information;
Monitoring module, for carrying out risk assessment and tight to the history health data in cross division information and real time health data Urgent thing part discriminance analysis, and according to the health supervision prediction scheme information pre-established, carry out corresponding healthy living circulation instruct and/ Or the emergent service progress emergency scheduling of transferring of startup health implements management.
10. collaboration host computer system according to claim 9, it is characterised in that the monitoring module includes:
Risk assessment unit, for the monitoring index item included according to the corresponding health supervision prediction scheme of the monitoring service object Mesh carries out data target statistical analysis, and assesses the potential relevance in multi-source history health data, the history health data Including:History health indicator Monitoring Data, historical movement behavior monitoring data, history healthy living daily life data;
According to data target statistical analysis and the assessment result of potential relevance, to the monitoring service object within the cycle of specifying Daily life situation, holistic health level and risk index be estimated.
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