CN105260596A - Cloud storage platform based resident health condition real-time analysis method - Google Patents
Cloud storage platform based resident health condition real-time analysis method Download PDFInfo
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- CN105260596A CN105260596A CN201510619658.5A CN201510619658A CN105260596A CN 105260596 A CN105260596 A CN 105260596A CN 201510619658 A CN201510619658 A CN 201510619658A CN 105260596 A CN105260596 A CN 105260596A
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Abstract
The invention discloses a cloud storage platform based resident health condition real-time analysis method. According to the method, an account is built for each user on a cloud storage platform server; medical archival information of the user is stored in the server; the user wears a physical sign monitor device associated with the account of the user; the physical sign information monitored by the physical sign monitor device is uploaded to the cloud storage platform server; a health condition real-time analysis module computes a health condition critical value and a real-time health condition parameter separately and compares the health condition critical value with the real-time health condition parameter to determine whether the user is in a healthy state; and if the real-time health condition parameter reaches or exceeds the health condition critical value, alarming information is sent to an alarming device preset by the user, so that the user can process correspondingly according to the information, and residents or other contacts can be informed of their own health conditions through a preset contact way, so as to avoid accidents.
Description
Technical field
The present invention relates to public medical field, specifically based on the residents ' health situation real-time analysis method of cloud storage platform.
Background technology
Along with the raising of economic globalization and living standards of the people, common people's health perception improves constantly.The increasing common people regularly arrive hospital and carry out health check-ups, regularly to understand the physical condition of self.The wearable device of various sign monitoring is also arisen at the historic moment, the physical trait such as heartbeat, blood pressure, blood fat of Real-Time Monitoring individual.These serve certain effect to the healthy of resident.But, resident in the face of these from health check-up, health monitoring information, be but difficult to make correctly, reasonably judge, thus make these health check-ups, health monitoring information can not get effective utilization.
In recent years, Medical data sharing is unanimously being carried out energetically by country.Department of Human Resources and Social Security is unified planning social security card also, realizes Medical data sharing to facilitate resident when Different hospital is gone to a doctor.
Summary of the invention
For solving the health check-up of resident in prior art, the information of health monitoring can not be submitted to the medical personnel of hospital and make it make correctly, the problem of rational judgement, the invention provides a kind of residents ' health situation real-time analysis method based on cloud storage platform, the method can real root according to the Historical medical information of resident, health Detection Information, carry out depth information mining analysis, obtain the information such as health feature and development trend thereof of this resident, when there is certain compromising feature in the health of resident, resident or its contact person is notified by the contact method preset, it is made to note corresponding health, avoid dangerous generation.
The present invention for solving the problems of the technologies described above and realizing the technical scheme that above-mentioned technical purpose adopts is: based on the residents ' health situation real-time analysis method of cloud storage platform, comprise the following steps:
1) open an account for each user, and the account is associated with certain storage area that cloud storage platform server divides, then the medical archive information of this user is stored in this storage area;
2) user wears the sign monitoring equipment associated with its account, and uploads in the storage area of cloud storage platform server by the sign information that sign monitoring equipment is monitored;
3) cloud storage platform server stores health status real-time analysis module, this module wears user's sign information according to the medical archive information of user and reception, respectively through analytical calculation, draw health status critical value and the real time health condition parameter of this user;
4) by step 3) obtain real time health condition parameter and health status critical value compares, judge whether this user is in health status, if real time health condition parameter reaches or exceeds health status critical value, panalarm then to user preset sends warning message, so that user processes accordingly according to this information.
Described health status real-time analysis module carries out analytical calculation and the step of comparison is as follows:
The first step: setting medical record information set of types is combined into S={S
1, S
2..., S
i..., S
n, S is finite set, wherein each element S of S
ivalue for set V
i, make V={V
1, V
2..., V
i..., V
n, the same order of V and S, then the medical archive information of certain user T is expressed as
Wherein, every a line T of T
irepresent a class medical record information, each v in a line
ijrepresent the value that such case history is once gone to a doctor;
Second step: setting sign information set of types is combined into S'={S '
1, S '
2..., S '
i..., S '
n, S '
ifor finite set, wherein S' each element S '
ivalue for set V '
i, make V'={V '
1, V '
2..., V '
i..., V '
n, the same order of V' and S', then the medical archive information of certain user T' is expressed as
Wherein, every a line T ' of T'
irepresent a class sign information, each v ' in a line
ijrepresent the one-shot measurement value of such sign;
3rd step: T and T' is carried out tranquilization process, format conversion, sets up a sample set for RVM training;
4th step: T and T' independently selects suitable parameter to be used for carrying out the training of sample set, and these parameters comprise penalty factor c, kernel functional parameter g and bounds p, and selects RadialBasisFunction radial basis function as its kernel function;
5th step: repeat to train sample set, until meet set regression accuracy, obtains corresponding training pattern and sample;
6th step: carry out user health analysis, calculating according to training pattern and sample, obtains final health state of user parameter matrix:
P＝(p
1,p
2,…,p
m)
Wherein each subitem p
irepresent a kind of user's body state parameter;
7th step: the condition parameter matrix P=(p of comparison user
1, p
2..., p
m) with system by calculate this user obtained critical condition parameter P'=(p '
1, p '
2..., p '
m), when certain or some parameter values exceed critical value range, generate warning reminding information and counter-measure.
In the present invention, the medical archive information of user utilizes the existing all kinds of subsystem of hospital to obtain, as utilized HIS system (HospitalInformationSystem, hospital information system) obtain the essential information of user, hospitalization information etc., utilize LIS system (LaboratoryInformationSystem, laboratory information system) obtain the various chemical examination information of user, utilize PACS system (PictureArchivingandCommunicationSystems, image archiving and communication system) obtain various fox message and the pharmacy of user, Drug Storage, health check-up, surgery anesthesia, the systems such as electronic health record obtain corresponding information.
The sign information of user refers to the various sign monitoring equipments utilizing user to wear, obtain sign monitoring information, as blood pressure information, the heartbeat message of Worn type heartbeat meter acquisition, the blood fat information of Worn type blood fat meter acquisition that Worn type sphygmomanometer obtains, and the real time kinematics information etc. that all kinds of passometer obtains.
The user's sign information utilizing sign monitoring equipment to obtain can be connected to mobile phone or computing machine by bluetooth, read corresponding Monitoring Data by the application program on the APP be arranged on mobile phone or computing machine, and upload in the storage area of cloud storage platform server.
In medical archive information, sign information gatherer process, need to use user identity unique identification, this mark can be united in medical system, health information system, be convenient to the shared and use to medical information, health and fitness information, the social security card card number that Department of Human Resources and Social Security can be adopted to carry out is as the unique identity of resident.
In the present invention, in order to ensure the safety of user profile, need could use medical archive information by the authorization identifying of user, the step of authorization identifying is as follows:
The first step: user applies for analysis on the health status system account, carry out identity registration, unique identity is provided during registration, here unique identity can adopt identify label identical in medical system, also new identify label can be adopted, if adopt new identify label, also need the identify label that medical system is provided, so that the association both realizing;
Second step: user submits the power of attorney agreeing to use its medical archive information to, and assist health status real-time analysis module to obtain the authentication of cloud storage platform server.Here authentication can have individual time limit, and such as 1 week, January, 1 year etc., by user's sets itself.User also can not agree to that health status real-time analysis module uses its medical archive information, only carries out based on its health and fitness information cloud storage platform data when such health analysis;
3rd step: health status real-time analysis module obtains the medical archive information right to use, the health and fitness information right to use, can carry out user health status analysis according to corresponding information.
In the present invention, panalarm to user preset sends warning message and refers to: when health status real-time analysis module reaches a certain critical value by analyzing acquisition user health situation, send corresponding warning message to presetting contact method, and provide corresponding instruction.Here the given body status parameter values that critical value refers to the medical archive information according to user, individual sign information draws, after the condition parameter value of user is inferior to these particular values, user's body occurs that the probability of discomfort, illness etc. significantly increases, and concrete steps are as follows:
The first step: user applies for that setting sign is reported to the police;
Second step: user sets the physical trait of the daily acceptance of sign, as information such as blood pressure, heartbeat, blood fat, sleeps, this link user can select setting, also can select not set, and is obtained according to medical archive information and the analytical calculation of sign monitoring information by system;
3rd step: user sets warning message receiving equipment, can select the modes such as SMS, Email, mobile phone A PP, computer applied algorithm to receive here, both can set me and receive, and also can set relatives and receive, or I, relatives receives simultaneously;
4th step: when user's body feature reaches critical value, buys method etc. be sent to default panalarm by physical condition information, corresponding position.
Beneficial effect: the present invention is stored on cloud storage platform server by the medical archive information and real-time sign information gathering user respectively, and use health status real-time analysis module to wear user's sign information according to the medical archive information of user and reception, calculate health status critical value and the real time health condition parameter of this user respectively, and whether this user of judgement that both compared is in health status, if real time health condition parameter reaches or exceeds health status critical value, panalarm then to user preset sends warning message, so that user processes accordingly according to this information, method of the present invention is according to the Historical medical information of resident, health Detection Information, carry out depth information mining analysis, obtain the information such as health feature and development trend thereof of this resident, when there is certain compromising feature in the health of resident, notify resident or its contact person by the contact method preset, make it note corresponding health, avoid dangerous generation.
Accompanying drawing explanation
Fig. 1 is the process flow diagram that in the present invention, health status real-time analysis module carries out analytical calculation.
Embodiment
Based on the residents ' health situation real-time analysis method of cloud storage platform, comprise the following steps:
1) open an account for each user, and the account is associated with certain storage area that cloud storage platform server divides, then the medical archive information of this user is stored in this storage area;
2) user wears the sign monitoring equipment associated with its account, and uploads in the storage area of cloud storage platform server by the sign information that sign monitoring equipment is monitored;
3) cloud storage platform server stores health status real-time analysis module, this module wears user's sign information according to the medical archive information of user and reception, respectively through analytical calculation, draw health status critical value and the real time health condition parameter of this user;
4) by step 3) obtain real time health condition parameter and health status critical value compares, judge whether this user is in health status, if real time health condition parameter reaches or exceeds health status critical value, panalarm then to user preset sends warning message, so that user processes accordingly according to this information.
Described health status real-time analysis module carries out analytical calculation and the step of comparison is as follows:
The first step: setting medical record information set of types is combined into S={S
1, S
2..., S
i..., S
n, S is finite set, wherein each element S of S
ivalue for set V
i, make V={V
1, V
2..., V
i..., V
n, the same order of V and S, then the medical archive information of certain user T is expressed as
Wherein, every a line T of T
irepresent a class medical record information, each v in a line
ijrepresent the value that such case history is once gone to a doctor;
Second step: setting sign information set of types is combined into S'={S '
1, S '
2..., S '
i..., S '
n, S '
ifor finite set, wherein S' each element S '
ivalue for set V '
i, make V'={V '
1, V '
2..., V '
i..., V '
n, the same order of V' and S', then the medical archive information of certain user T' is expressed as
Wherein, every a line T ' of T'
irepresent a class sign information, each v ' in a line
ijrepresent the one-shot measurement value of such sign;
3rd step: T and T' is carried out tranquilization process, format conversion, sets up a sample set for RVM training;
4th step: T and T' independently selects suitable parameter to be used for carrying out the training of sample set, and these parameters comprise penalty factor c, kernel functional parameter g and bounds p, and selects RadialBasisFunction radial basis function as its kernel function;
5th step: repeat to train sample set, until meet set regression accuracy, obtains corresponding training pattern and sample;
6th step: carry out user health analysis, calculating according to training pattern and sample, obtains final health state of user parameter matrix:
P＝(p
1,p
2,…,p
m)
Wherein each subitem p
irepresent a kind of user's body state parameter;
7th step: the condition parameter matrix P=(p of comparison user
1, p
2..., p
m) pass through with system the critical condition parameter P' calculating this user obtained
=(p '
1, p '
2..., p '
m), when certain or some parameter values exceed critical value range, generate warning reminding information and counter-measure.
Below in conjunction with specific embodiment, the present invention is further elaborated.
When resident needs to use health status real-time analyzer time, need to the application of analysis on the health status system, registration, then its medical archive information is licensed, wear sign monitoring equipment and upload monitoring information, then its sign of health status real-time analysis module analysis, when reaching certain critical value, send warning message to it.Idiographic flow is as follows:
The first step: resident registration application health status real-time analyzer account, fills in individual essential information, unique identity etc., may need to pay certain service fee here;
Second step: authorize health status real-time analyzer to use its medical archive information, comprises and uploads medical archive and license book, registration medical system unique identity, assist by medical archive system access right certification etc.;
3rd step: register the sign monitoring equipment worn, by the registration such as mobile phone A AP, computer applied algorithm and the characteristic monitoring devices worn of user bound, makes health status real-time analysis module can identify the sign monitoring information that user uploads; Sign monitoring equipment can increase at any time and delete, and namely user can increase the new sign monitoring equipment used, and also can delete used sign monitoring equipment;
4th step: resident sets the physical trait of the daily acceptance of sign, as information such as blood pressure, heartbeat, blood fat, sleeps, this link resident can select setting, also can select not set, and is obtained according to medical archive information and the analytical calculation of sign monitoring information by system;
5th step: resident sets warning message receiving equipment, can select the modes such as SMS, Email, mobile phone A PP, computer applied algorithm to receive, and can set me and receive, and also can set relatives and receive, or I, relatives receives simultaneously;
6th step: the sign monitoring equipment that resident wears registration carries out daily routines, characteristic monitoring devices in real time/timing uploads sign Monitoring Data by mobile phone A PP, computer applied algorithm etc.If a certain user registers three kinds of sign monitoring equipments here, he can wear all or part of equipment of registration, only uploads the data of wearable device.If but user has worn unregistered characteristic monitoring devices, the Monitoring Data of these unregistered monitoring equipments cannot upload to healthy cloud storage platform.Resident needs first registering apparatus, then wears;
7th step: health status real-time analysis module, according to medical archive information, the sign monitoring information of resident, carries out intellectual analysis calculating, draws the component health parameters of resident, health status critical value, and compares;
8th step: when in the normal situation of residents ' health situation, health status real-time analysis module regularly sends residents ' health condition information to resident's preset alarm equipment, and provides interpretation of result.When the component health parameters of resident reaches or exceeds its health status critical value range, which type of regulation measure is analytical calculation device component health parameters should take could recover normally, and sends warning message and counter-measure to the panalarm that resident presets;
9th step: resident receives health information, if normal health status, then keeps corresponding habits and customs; If situation appears in application, then according to corresponding counter-measure process or go to see a doctor.
Claims (2)
1., based on the residents ' health situation real-time analysis method of cloud storage platform, it is characterized in that, comprise the following steps:
1) open an account for each user, and the account is associated with certain storage area that cloud storage platform server divides, then the medical archive information of this user is stored in this storage area;
2) user wears the sign monitoring equipment associated with its account, and uploads in the storage area of cloud storage platform server by the sign information that sign monitoring equipment is monitored;
3) cloud storage platform server stores health status real-time analysis module, this module wears user's sign information according to the medical archive information of user and reception, respectively through analytical calculation, draw health status critical value and the real time health condition parameter of this user;
4) by step 3) obtain real time health condition parameter and health status critical value compares, judge whether this user is in health status, if real time health condition parameter reaches or exceeds health status critical value, panalarm then to user preset sends warning message, so that user processes accordingly according to this information.
2. the residents ' health situation real-time analysis method based on cloud storage platform according to claim 1, is characterized in that: described health status real-time analysis module carries out analytical calculation and the step of comparison is as follows:
The first step: setting medical record information set of types is combined into S={S
1, S
2..., S
i..., S
n, S is finite set, wherein each element S of S
ivalue for set V
i, make V={V
1, V
2..., V
i..., V
n, the same order of V and S, then the medical archive information of certain user T is expressed as
Wherein, every a line T of T
irepresent a class medical record information, each v in a line
ijrepresent the value that such case history is once gone to a doctor;
Second step: setting sign information set of types is combined into S'={S '
1, S'
2..., S '
i..., S'
n, S '
ifor finite set, wherein S' each element S '
ivalue for set V '
i, make V'={V '
1, V '
2..., V '
i..., V '
n, the same order of V' and S', then the medical archive information of certain user T' is expressed as
Wherein, every a line T ' of T'
irepresent a class sign information, each v ' in a line
ijrepresent the one-shot measurement value of such sign;
3rd step: T and T' is carried out tranquilization process, format conversion, sets up a sample set for RVM training;
4th step: T and T' independently selects suitable parameter to be used for carrying out the training of sample set, and these parameters comprise penalty factor c, kernel functional parameter g and bounds p, and selects RadialBasisFunction radial basis function as its kernel function;
5th step: repeat to train sample set, until meet set regression accuracy, obtains corresponding training pattern and sample;
6th step: carry out user health analysis, calculating according to training pattern and sample, obtains final health state of user parameter matrix:
P＝(p
1,p
2,…,p
m)
Wherein each subitem p
irepresent a kind of user's body state parameter;
7th step: the condition parameter matrix P=(p of comparison user
1, p
2..., p
m) pass through with system the critical condition parameter P'=(p' calculating this user obtained
1, p'
2..., p'
m), when certain or some parameter values exceed critical value range, generate warning reminding information and counter-measure.
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ID=55100285
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106202884A (en) * | 2016-06-29 | 2016-12-07 | 上海信麟信息技术有限公司 | It is applicable to medical system data-sharing systems and the method for Monitoring on arrhythmia |
| CN106202881A (en) * | 2016-06-29 | 2016-12-07 | 上海信麟信息技术有限公司 | APACHE based on medical system data-sharing systems evaluates system |
| CN106778026A (en) * | 2017-01-05 | 2017-05-31 | 张传钊 | A kind of case history processes follow-up system |
| CN107658020A (en) * | 2017-09-07 | 2018-02-02 | 广州九九加健康管理有限公司 | A kind of intelligent health analysis and assessment method and system based on accurate health control |
| CN111785374A (en) * | 2020-06-15 | 2020-10-16 | 山东省玖玖医养健康产业有限公司 | Health condition analysis and prediction method and system based on big data |
| CN112000706A (en) * | 2020-04-30 | 2020-11-27 | 中南民族大学 | RVM-L model-based Internet public opinion early warning mechanism analysis method |
| CN113012824A (en) * | 2021-04-29 | 2021-06-22 | 连云港市第一人民医院 | Visual health medical management system |
| CN113116318A (en) * | 2021-04-20 | 2021-07-16 | 苏州科技大学 | Physical activity data acquisition device of community based on resident health |
| CN113301057A (en) * | 2021-07-27 | 2021-08-24 | 深圳润符新材料科技有限公司 | Monitoring system is stored to waterproof coating intelligence based on cloud calculates |
-
2015
- 2015-09-25 CN CN201510619658.5A patent/CN105260596A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106202884A (en) * | 2016-06-29 | 2016-12-07 | 上海信麟信息技术有限公司 | It is applicable to medical system data-sharing systems and the method for Monitoring on arrhythmia |
| CN106202881A (en) * | 2016-06-29 | 2016-12-07 | 上海信麟信息技术有限公司 | APACHE based on medical system data-sharing systems evaluates system |
| CN106778026A (en) * | 2017-01-05 | 2017-05-31 | 张传钊 | A kind of case history processes follow-up system |
| CN107658020A (en) * | 2017-09-07 | 2018-02-02 | 广州九九加健康管理有限公司 | A kind of intelligent health analysis and assessment method and system based on accurate health control |
| CN112000706A (en) * | 2020-04-30 | 2020-11-27 | 中南民族大学 | RVM-L model-based Internet public opinion early warning mechanism analysis method |
| CN112000706B (en) * | 2020-04-30 | 2021-05-18 | 中南民族大学 | RVM-L model-based Internet public opinion early warning mechanism analysis method |
| CN111785374A (en) * | 2020-06-15 | 2020-10-16 | 山东省玖玖医养健康产业有限公司 | Health condition analysis and prediction method and system based on big data |
| CN113116318A (en) * | 2021-04-20 | 2021-07-16 | 苏州科技大学 | Physical activity data acquisition device of community based on resident health |
| CN113012824A (en) * | 2021-04-29 | 2021-06-22 | 连云港市第一人民医院 | Visual health medical management system |
| CN113301057A (en) * | 2021-07-27 | 2021-08-24 | 深圳润符新材料科技有限公司 | Monitoring system is stored to waterproof coating intelligence based on cloud calculates |
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