CN104834827A - Health data processing method and system based on terminal equipment and cloud computation storage - Google Patents
Health data processing method and system based on terminal equipment and cloud computation storage Download PDFInfo
- Publication number
- CN104834827A CN104834827A CN201510273212.1A CN201510273212A CN104834827A CN 104834827 A CN104834827 A CN 104834827A CN 201510273212 A CN201510273212 A CN 201510273212A CN 104834827 A CN104834827 A CN 104834827A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- health
- database
- terminal device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a health data processing method and system based on terminal equipment and cloud computation storage. The method includes the steps that behavior data and physical sign data of users are obtained, living habit data of the users are recorded, and health data of the users are matched with health data standards in a database; the behavior data, the physical sign data and the living habit data of different users are stored in a cloud computation storage server, and the database with the health data standards is established according to health condition standards of different users; the health data of the users are matched with the health data standards in the database, and health care suggestions and living suggestions suitable for the users are prompted through the terminal equipment. By the adoption of big data cloud processing, health conditions and different kinds of diseases of the users can be analyzed, and health care schemes and the matched health care suggestions suitable for the individual users are provided in combination with cloud computation processing and a professional health care knowledge base.
Description
Technical field
The present invention relates to technical field of data processing, in particular a kind of health data disposal route of storing based on terminal device and cloud computing and system.
Background technology
Chronic disease (Chronic) full name is Chronic Non-Communicable Diseases, is not refer in particular to certain disease, but to a class onset concealment, the course of disease is long, and the cause of disease is complicated, is difficult to radical cure, lack definite infectious organisms cause of disease evidence, and the generality general name of some disease be identified not yet completely.Wherein the most popular be familiar with when diseases such as number diabetes, hypertension, high fat of blood, apoplexy.The origin cause of formation of this kind of disease and the work and rest rule of development and people, eating habit, emotional stress etc. are closely related.So the work and rest to group of people at high risk and slow patient, diet, the daily monitoring of the habits and customs such as body-building and mood and adjustment are that prevention and corntrol chronic disease occurs and the important channel of development.
How to utilize the daily life of user to be accustomed to the Data Comparison health data standard of data and healthy situation, and data standard change user's habits and customs, exercise habit becomes the key of dealing with problems according to supervising.
Therefore, prior art has yet to be improved and developed.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art, the object of the present invention is to provide a kind of chronic disease cloud health-care management method and system, user can be impelled to change personal habits, form good habits and customs, impel user more actively and be confident of improving and keeping good habits and customs.
Technical scheme of the present invention is as follows:
Based on the health data disposal route that terminal device and cloud computing store, comprise the following steps:
A, obtain the behavioral data of user and sign data and recording user habits and customs data, the health data of user is mated with the health data standard in described database;
B, the behavioral data of different user, sign data and user's habits and customs data to be stored in cloud computing storage server, and to set up the described database with health data standard according to different user health status standard;
C, the health data of user to be mated with the health data standard in described database, be applicable to health care suggestion and the life suggestion of described user by terminal device prompting.
The described health data disposal route stored based on terminal device and cloud computing, wherein, also comprises step D:
Tables of data or the data plot of user and health data standard deviation distance is pointed out according to user health situation.
The described health data disposal route stored based on terminal device and cloud computing, wherein, described steps A specifically comprises:
A1, connect and can detect the built-in sensor of user's extracorporeal movement data, the wearable smart machine of sign data and/or smart machine, obtain behavioral data and the sign data of user;
A2, the habits and customs data formation user habit database manually inputted by user;
A3, in conjunction with described behavioral data, sign data and user habit database formed individual database.
The described health data disposal route stored based on terminal device and cloud computing, wherein, described step B is specially:
B1, by the automatic uploading detection of wearable smart machine to user behavior data in database;
The sign data of B2, heart rate by the built-in sensor senses user of smart machine, pulse frequency, respiratory rate, body temperature, heat rejection, blood pressure, blood sugar, blood oxygen, BIM exponential sum body fat content, by described sign data, user's habits and customs data respectively automatic or manual be uploaded in database;
B3, the health data of user to be mated with the health data standard in described database.
The described health data disposal route stored based on terminal device and cloud computing, wherein, described step C also comprises:
The data message of the health care suggestion and life suggestion that are applicable to user is fed back to described user by intelligent television, panel computer, smart mobile phone.
The present invention also provides a kind of health data disposal route system stored based on terminal device and cloud computing, comprising:
Cloud computing storage server, for the behavioral data of different user, sign data and user's habits and customs data being stored in Cloud Server, and sets up the database with health data standard according to different user health status standard;
The data collector be connected with described fortune processor, for obtaining the behavioral data of user and sign data and recording user habits and customs data, mates the health data of user with the health data standard in described database;
The terminal device be connected with described cloud computing storage server, for being mated with the health data standard in described database by the health data of user, is applicable to health care suggestion and the life suggestion of described user by terminal device prompting.
The described health data disposal route system stored based on terminal device and cloud computing, wherein, described terminal device is also for pointing out tables of data or the data plot of user and health data standard deviation distance according to user health situation.
The described health data disposal route system stored based on terminal device and cloud computing, wherein, described data collector specifically comprises:
First harvester, can detect the built-in sensor of user's extracorporeal movement data, the wearable smart machine of sign data and/or smart machine for connecting, obtaining behavioral data and the sign data of user;
Second harvester, forms user habit database for the habits and customs data manually inputted by user;
Data preparation device, for forming individual database in conjunction with described behavioral data, sign data and user habit database.
The described health data disposal route system stored based on terminal device and cloud computing, wherein, described cloud computing storage server comprises:
Data transmission memory storage, for by the automatic uploading detection of wearable smart machine to user behavior data in database; By the sign data of the heart rate of the built-in sensor senses user of smart machine, pulse frequency, respiratory rate, body temperature, heat rejection, blood pressure, blood sugar, blood oxygen, BIM exponential sum body fat content, by described sign data, user's habits and customs data respectively automatic or manual be uploaded in database;
Calculation server, for mating the health data of user with the health data standard in described database.
The described health data disposal route system stored based on terminal device and cloud computing, wherein, described terminal device also comprises display device, and described display device is used for the data message of the health care suggestion and life suggestion that are applicable to user to feed back to described user by intelligent television, panel computer, smart mobile phone.
The health data disposal route that stores based on terminal device and cloud computing provided by the present invention and system, owing to have employed large data cloud process, different user health status can be analyzed, propose in conjunction with cloud computing process the care plans and the suggestion that are applicable to individual consumer.Can also allow user recognize self life style, daily life rule, diet structure on the impact of own bodies health, impel user more actively and confidently improve and keep good habits and customs.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the health data disposal route preferred embodiment stored based on terminal device and cloud computing in the present invention.
Fig. 2 is the module frame chart of the health data disposal route system preferred embodiment stored based on terminal device and cloud computing in the present invention.
Embodiment
The invention provides a kind of health data disposal route of storing based on terminal device and cloud computing and system, for making object of the present invention, technical scheme and effect clearly, clearly, referring to accompanying drawing examples, the present invention is described in more detail.Should be appreciated that specific embodiment described herein only for explaining the present invention, being not intended to limit the present invention.
Refer to shown in Fig. 1, the health data disposal route stored based on terminal device and cloud computing provided by the invention, utilize (as smart mobile phone, the bracelet etc. of the intelligent health wearable device) perception of the carry-on equipment of user and study, personal health living condition including but not limited to user.Namely perception mentioned here refers to the process of data acquisition, and data acquisition approach can be divided into automatically and passive two kinds of modes, and namely do not need user intervention automatically, by the automatic record of carry-on equipment, autostore, uploads automatically; The passive user that namely needs gets involved; As data input, AC regeneration etc.
Specifically comprise the following steps:
S100, the behavioral data of different user, sign data and user's habits and customs data to be stored in cloud computing storage server, and to set up the database with health data standard according to different user health status standard.
Set up one and store the health condition of different crowd, the database of habits and customs.After being undertaken concluding and classify by the behavioral data of all users, sign data and user's habits and customs data, and data are stored with described database.Because chronic disease is that people's bad habit causes, there is common characteristic, the health data and habits and customs of suffering from certain chronic disease user can be extracted, through after cloud computing server special algorithm search comparison and coupling, draw corresponding health care suggestion and daily life custom adjustment Improving advice, and be shared with the user with same class illness or health, help user to improve personal lifestyle custom.After specifically preserving at terminal device by the routine health data of user or extracted by terminal machine equipment Active Learning, be aggregated into unified for data in cloud service database.So just the health data of a large amount of Different Individual can be collected to arrange and become a large-scale database, thus realize the large data statistic analysis of colony's symptom.
Human body physical sign change has certain rule, and a chronic disease disease front human body also has some continuation extremely, if large data have grasped such abnormal conditions, carries out health care suggestion before just can carrying out causing chronic disease to user.Such as by the health data database as a comparison of the data characteristicses such as heart rate, body weight, blood fat, blood sugar, amount of exercise, amount of sleep, when user's heart rate, body weight, blood fat, blood sugar, amount of exercise, amount of sleep are starkly lower than or user then should be pointed out to change habits and customs higher than comparison database, note physique.
Combined with intelligent monitoring monitoring hardware (as more existing health care checkout equipments), utilizes large data operation that the large data prediction of chronic disease can be made to become possibility.Utilize wearable smart machine and the built-in sensor of smart machine to gather human body physical sign data, as heart rate, body weight, blood fat, blood sugar, amount of exercise, amount of sleep etc., and gather and be sent to Cloud Server.The routine health data utilizing user to continue to provide are carried out enough precisely and computing comprehensively, when user is in a kind of non-health life style for a long time or has been in inferior health animation, then instant alerts user can likely suffer from the risk of certain chronic disease.
S200, obtain the behavioral data of user and sign data and recording user habits and customs data, the health data of user is mated with the health data standard in described database.Namely by band G-sensor(gravity sensor) Three dimensional motion sensors or the equipment of GPS obtain the behavioral data of user, include but not limited to moving situation, move distance and amount of exercise, the sitting time, with the dormancy time.Set up corresponding database by above-mentioned data, the job category of user can be judged or whether like motion, thus setting up life style and the daily life rule of user.User's sign data then can by acquisitions such as existing health care facility or intelligent detection equipments (intelligent detection equipment with body temperature trans, biopotential sensor etc.), sign data mainly comprises the data of the inside sign relevant to user's chronic disease, concrete collection can be the collection with directive property, also can be to gather through row user's sign data widely.The partial data of user's habits and customs data then needs user's input initiatively, as diet structure, medicining condition etc. and user want habits and customs relevant data.As a preferred embodiment of the present utility model, above-mentioned and user-dependent data can be set up a database user with personal user and preserve data message about personal health.
S300, the health data of user to be mated with the health data standard in described database, be applicable to health care suggestion and the life suggestion of described user by terminal device prompting.
Integrating step S100, by the data acquisition of data collector, the sign data of individual consumer is uploaded to database by us.Large data mining technology is utilized to excavate the health, physiological data, rule of life, medication history etc. of similar illness colony, to mate and in conjunction with the care plans of health care suggestion knowledge base and suggestion through computing, by analysis result by the modes such as intelligent television, panel computer, smart mobile phone, SMS notification rapidly and efficiently feed back to user.Such as, when certain user smokes for a long time, long-time sitting creates easy catching a cold, cervical spondylopathy, then reminding has the user being similar to above-mentioned user's habits and customs to change existing habits and customs, and advise that user carries out motions such as riding, play badminton, the daily work and rest rule reminding user when certain hour simultaneously also can uploaded according to user is taken exercises.
Namely can also S400 in steps after above-mentioned steps S300: according to tables of data or the data plot of user health situation prompting user and health data standard deviation distance.Automatically the data gathered by the data uploaded and the terminal device of user are set up according to user time rule can the data form of visualize or data plot, such as histogram etc., take time as horizontal ordinate, with the every health data index of user or health index score value for ordinate, draw out the health data table being applicable to user, make user get more information about own health data, understand the deficiency of oneself health, to change the habits and customs of individual.Such as, how long user walks every day, and sitting how long, sets up histogram.
Meanwhile, user terminal and cloud service can also access the advisory system of professional health institution, are convenient to the consulting of user.The doctor of She Kang center or hospital checks the physical signs situation of its chronic disease user managed by expert system backstage and expert terminals, according to the healthy concrete situation of the individual of user, provide the diet of user, exercise and medication suggestion.Once the bio-signal acquisition of user is abnormal, user terminal and Cloud Server will send early warning information, notify that user goes to hospital to seek medical advice, simultaneously by its household of message notice and monitoring doctor.
Known in sum, utilize the inventive method, each user not only helps oneself in the process collecting personal daily health data, can also help the patient of similar illness.According to large data results and in conjunction with the treatment in professional healthcare knowledge storehouse and care regimen, and then feed back to user, make user more clearly understand own bodies health status and more effectively control and improve personal lifestyle, eating habit.
As a specific embodiment of the present invention, the health data disposal route stored based on terminal device and cloud computing provided by the invention specifically comprises S110: connect and can detect the built-in sensor of user's extracorporeal movement data, the wearable smart machine of sign data and/or smart machine, obtain behavioral data and the sign data of user.In prior art, mobile terminal and intelligent terminal develop more and more rapider, wherein many smart machines are with measuring ability and arbitration functions, and such as mobile phone can utilize gravity sensor or Three dimensional motion sensors again or located the mobile status or motion state that judge user by GPS; Such as motion bracelet can detect mobile status, the displacement of user in conjunction with software again; How much catabiotic by calculating user, simultaneously can supervisory user sleep quality etc.
Described behavioral data then by the behavioral data of the such as detection of the smart machine such as mobile phone, motion bracelet or perception user, can be uploaded by the present invention automatically, so that cloud computing storage server stores and calculates.The fast development of smart mobile phone and popularizing as we providing relatively inexpensive and feasible vitro data acquisition scheme.The life style of sensor (as gravity and acceleration transducer) the perception user in the smart mobile phone utilizing user to carry with, including but not limited to walking step number, sitting time, the length of one's sleep etc.Preferably, after the routine health data of user are stored, the independent learning ability of data collector or machine is activated immediately.After specific algorithmic formula computing, machine automatic learning differentiate the occupation of user be mental or manual labor, be on day shift or night shift, be sports type, do not love ejector half; Judgment of learning through data acquisition equipment or machine provides the suggestion report adjusted for user's habits and customs, self life style, daily life rule, diet structure and medicining condition are on the impact of self state of an illness and control trend to allow user recognize, impel user more actively and are confident of improving and keeping good habits and customs.
The sign data collection of user then can be obtained by professional checkout equipment or other functional equipment in addition.As: body temperature trans detects body temperature; Adopt heat flux sensor monitoring heat exhaustion ability, may be used for blood sugar aided solving and metabolic capabilities reckoning; Weighing scale quantity sensor is adopted to calculate BMI index (i.e. body-mass index); Adopt pulse wave sensing, calculate the data such as blood pressure, pulse frequency; Adopt biopotential sensor to gather electrocardio, eeg data, also can be used to calculate fat content etc.; Optical sensor is adopted to calculate the oxygen content of blood, Hemodynamic environment etc.Sign data collection can utilize third party's size intelligent healthcare equipment precise acquisition to include but not limited to the sign datas such as blood sugar, blood pressure, blood oxygen blood fat, body weight; The acquisition scheme of concrete employing size intelligent healthcare equipment obtains by health care facility supplier, then the bluetooth utilizing smart mobile phone standard to be equipped with and WiFi data transmission channel, can get user's sign data thus uploading data that size intelligent healthcare equipment collects.
S120, the habits and customs data formation user habit database manually inputted by user.Namely user some can have the data about oneself habits and customs, as breakfast custom drinks those foods, beverage by oneself manual input; Some spies belong to the daily schedule of user self between sack time, WA etc.; Prefer picked-up any based food, food, the number of times that attends a party weekly or monthly, drink, smoking number of times etc.; By upload user personal data, be conducive to formulating hygienic measures and arrangement according to personal lifestyle custom or changing personal lifestyle custom.
S130, in conjunction with described behavioral data, sign data and user habit database formed individual database.Uploading namely by more above-mentioned data, utilizes database to be formed specific to the database of individual consumer, comprehensive assessment user health index, to calculate in all users best life style or health care mode and advises that other users adopt.Some aggregation of data of individual consumer also uses with the feature excavating certain chronic disease by database simultaneously, finds out producing cause and is convenient to health care and health care.Such as cervical spondylopathy is white collar common fault, and owing to not moving for a long time, long-time to produce in the face of computer screen, sitting prompting function can point out user's timing to stand up activity to alleviate cervical vertebra fatigue etc.
Further, the described health data disposal route based on terminal device and cloud computing storage comprises:
S210, by the automatic uploading detection of wearable smart machine to user behavior data in database.As described in above-mentioned steps S110, the user behavior data that wearable smart machine detects is transferred in database, utilize large data mining technology leading subscriber daily life and prevention from suffering from the diseases and health care.
The sign data of S220, heart rate by the built-in sensor senses user of smart machine, pulse frequency, respiratory rate, body temperature, heat rejection, blood pressure, blood sugar, blood oxygen, BIM exponential sum body fat content, by described sign data, user's habits and customs data respectively automatic or manual be uploaded in database.User can draw above-mentioned data by smart machine sensor in conjunction with software algorithm, also can be to obtain above-mentioned data by the structure that formally keeps healthy, and is then uploaded in database.Such as, user has carried out health check-up and X-ray examination in hospital, then above-mentioned data can carry out copying or being directly uploaded in individual cloud account by health-care hospital equipment by user, so that use, inquire about and add up.
S230, the health data of user to be mated with the health data standard in described database.After there is the cloud platform of large data to the data acquisition formation of a large number of users, in conjunction with the automatic of each user and passive perception and study, form large data, cloud computing is adopted to draw effective life style, daily life rule, diet structure, the state of an illness, medicining condition etc. of management three height or various chronic disease, large data mining technology is utilized to excavate the health of similar illness colony, physiological data, rule of life, medication history etc., to mate and in conjunction with the prompting user therapeutic regimen in professional healthcare knowledge storehouse and advisory information through computing.
S310, by be applicable to user health care suggestion and life suggestion data message feed back to described user by intelligent television, panel computer, smart mobile phone.User can check healthcare information, exercise suggestion, medication suggestion etc. that database pushes to user by the equipment with display.Data drawing list intuitively can be adopted to show the health that user is recent and moving situation etc. to user simultaneously, user is allowed more to understand oneself health and rule of life, facilitate user to change daily schedule or other rules of life, thus improve user's body situation, avoid the generation of chronic disease.
In sum, the health data disposal route stored based on terminal device and cloud computing provided by the invention, owing to have employed large data mining computing, different user health status and the different classes of illness of user can be analyzed, be applicable to care plans and the health care suggestion of individual consumer in conjunction with cloud computing process and professional healthcare knowledge storehouse coupling.Present invention also offers a kind of health data disposal route system stored based on terminal device and cloud computing.
As shown in Figure 2, it comprises:
Cloud computing storage server 420, for the behavioral data of different user, sign data and user's habits and customs data being stored in Cloud Server, and sets up the database with health data standard, as detailed above according to different user health status standard.
With described fortune processor 410 connection data harvester 420, for obtaining the behavioral data of user and sign data and recording user habits and customs data, the health data of user is mated with the health data standard in described database, as detailed above.
The terminal device 430 be connected with described cloud computing storage server 410, for the health data of user is mated with the health data standard in described database, health care suggestion and the life suggestion of described user is applicable to, as detailed above by terminal device prompting.
In the described health data disposal route system stored based on terminal device and cloud computing, described terminal device 430 also for according to the tables of data of user health situation prompting user and health data standard deviation distance or data plot, as detailed above.
In the described health data disposal route system stored based on terminal device and cloud computing, described cloud computing storage server 410 comprises:
Data transmission memory storage, for by the automatic uploading detection of wearable smart machine to user behavior data in database; By the sign data of the heart rate of the built-in sensor senses user of smart machine, pulse frequency, respiratory rate, body temperature, heat rejection, blood pressure, blood sugar, blood oxygen, BIM exponential sum body fat content, by described sign data, user's habits and customs data respectively automatic or manual be uploaded in database, as detailed above.
Calculation server, for the health data of user is mated with the health data standard in described database, as detailed above.
In the described health data disposal route system stored based on terminal device and cloud computing, described data collector 420 specifically comprises:
First harvester, can detect the built-in sensor of user's extracorporeal movement data, the wearable smart machine of sign data and/or smart machine for connecting, obtaining behavioral data and the sign data of user, as detailed above.
Second harvester, forms user habit database for the habits and customs data manually inputted by user, as detailed above.
Data preparation device, for forming individual database in conjunction with described behavioral data, sign data and user habit database, as detailed above.
In the described health data disposal route system stored based on terminal device and cloud computing, described terminal device also comprises display device, described display device is used for the health care suggestion and life advisory information that are applicable to user to feed back to described user by intelligent television, panel computer, smart mobile phone, as detailed above.
In sum, the health data disposal route that stores based on terminal device and cloud computing provided by the present invention and system, owing to have employed large data cloud process, different user health status and the different classes of illness of user can be analyzed, be applicable to care plans and the health care suggestion of individual consumer in conjunction with cloud computing process and professional healthcare knowledge storehouse coupling.User can also be allowed to recognize, and self life style, daily life rule, diet structure and medicining condition are on the impact of self state of an illness and control trend, impel user more actively and are confident of improving and keeping good habits and customs.
Should be understood that, application of the present invention is not limited to above-mentioned citing, for those of ordinary skills, can be improved according to the above description or convert, and such as, all these improve and convert the protection domain that all should belong to claims of the present invention.
Claims (10)
1., based on the health data disposal route that terminal device and cloud computing store, it is characterized in that, comprise the following steps:
A, the behavioral data of different user, sign data and user's habits and customs data to be stored in cloud computing storage server, and to set up the database with health data standard according to different user health status standard;
B, obtain the behavioral data of user and sign data and recording user habits and customs data, the health data of user is mated with the health data standard in described database;
C, the health care suggestion being applicable to described user by terminal device prompting and life suggestion.
2. the health data disposal route stored based on terminal device and cloud computing according to claim 1, is characterized in that, also comprise step D:
Tables of data or the data plot of user and health data standard deviation distance is pointed out according to user health situation.
3. the health data disposal route stored based on terminal device and cloud computing according to claim 1, it is characterized in that, described steps A is specially:
A1, by the automatic uploading detection of wearable smart machine to user behavior data in described database;
The sign data of A2, heart rate by the built-in sensor senses user of smart machine, pulse frequency, respiratory rate, body temperature, heat rejection, blood pressure, blood sugar, blood oxygen, BIM exponential sum body fat content, by described sign data, user's habits and customs data respectively automatic or manual be uploaded in described database;
A3, the health data of user to be mated with the health data standard in described database.
4. the health data disposal route stored based on terminal device and cloud computing according to claim 1, it is characterized in that, described step B specifically comprises:
B1, connect and can detect the built-in sensor of user's extracorporeal movement data, the wearable smart machine of sign data and/or smart machine, obtain behavioral data and the sign data of user;
B2, the habits and customs data formation user habit database manually inputted by user;
B3, in conjunction with described behavioral data, sign data and user habit database formed individual database.
5. the health data disposal route stored based on terminal device and cloud computing according to claim 1, it is characterized in that, described step C also comprises:
The data message of the health care suggestion and life suggestion that are applicable to user is fed back to described user by intelligent television, panel computer, smart mobile phone.
6., based on the health data disposal route system that terminal device and cloud computing store, it is characterized in that, comprising:
Cloud computing storage server, for the behavioral data of different user, sign data and user's habits and customs data being stored in Cloud Server, and sets up the database with health data standard according to different user health status standard;
The data collector be connected with described cloud computing storage server, for obtaining the behavioral data of user and sign data and recording user habits and customs data, mates the health data of user with the health data standard in described database;
The terminal device be connected with described cloud computing storage server, for being applicable to health care suggestion and the life suggestion of described user by terminal device prompting.
7. the health data disposal route system stored based on terminal device and cloud computing according to claim 6, is characterized in that, described terminal device is also for pointing out tables of data or the data plot of user and health data standard deviation distance according to user health situation.
8. the health data disposal route system stored based on terminal device and cloud computing according to claim 6, it is characterized in that, described cloud computing storage server comprises:
Data transmission memory storage, for by the automatic uploading detection of wearable smart machine to user behavior data in database; By the sign data of the heart rate of the built-in sensor senses user of smart machine, pulse frequency, respiratory rate, body temperature, heat rejection, blood pressure, blood sugar, blood oxygen, BIM exponential sum body fat content, by described sign data, user's habits and customs data respectively automatic or manual be uploaded in database;
Calculation server, for mating the health data of user with the health data standard in described database.
9. the health data disposal route system stored based on terminal device and cloud computing according to claim 6, it is characterized in that, described data collector specifically comprises:
First harvester, can detect the built-in sensor of user's extracorporeal movement data, the wearable smart machine of sign data and/or smart machine for connecting, obtaining behavioral data and the sign data of user;
Second harvester, forms user habit database for the habits and customs data manually inputted by user;
Data preparation device, for forming individual database in conjunction with described behavioral data, sign data and user habit database.
10. the health data disposal route system stored based on terminal device and cloud computing according to claim 6, it is characterized in that, described terminal device also comprises display device, and described display device is used for the data message of the health care suggestion and life suggestion that are applicable to user to feed back to described user by intelligent television, panel computer, smart mobile phone.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510273212.1A CN104834827A (en) | 2015-05-26 | 2015-05-26 | Health data processing method and system based on terminal equipment and cloud computation storage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510273212.1A CN104834827A (en) | 2015-05-26 | 2015-05-26 | Health data processing method and system based on terminal equipment and cloud computation storage |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104834827A true CN104834827A (en) | 2015-08-12 |
Family
ID=53812710
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510273212.1A Pending CN104834827A (en) | 2015-05-26 | 2015-05-26 | Health data processing method and system based on terminal equipment and cloud computation storage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104834827A (en) |
Cited By (55)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160160A (en) * | 2015-08-17 | 2015-12-16 | 贵阳朗玛信息技术股份有限公司 | Big data intelligent analysis system and application method thereof |
| CN105205308A (en) * | 2015-08-26 | 2015-12-30 | 宇龙计算机通信科技(深圳)有限公司 | Menu recommendation method and user terminal |
| CN105193386A (en) * | 2015-08-26 | 2015-12-30 | 浪潮电子信息产业股份有限公司 | Cloud computing based intelligent sleeping pillow system |
| CN105512497A (en) * | 2015-12-29 | 2016-04-20 | 深圳市鼎芯无限科技有限公司 | Method and device for monitoring medical data |
| CN105760693A (en) * | 2016-03-09 | 2016-07-13 | 哈尔滨商业大学 | Intelligent sleep supervision system and intelligent healthy sleep supervision and control system based on Internet of Things |
| CN105842309A (en) * | 2016-05-05 | 2016-08-10 | 上海由威通信科技有限公司 | Intelligent blood analyzer |
| CN105868547A (en) * | 2016-03-24 | 2016-08-17 | 惠州Tcl移动通信有限公司 | User-health-state analysis method and system, device and terminal |
| CN105939235A (en) * | 2016-06-28 | 2016-09-14 | 柒贰零（北京）健康科技有限公司 | Environment monitoring system based on network set top box |
| CN105979006A (en) * | 2016-06-30 | 2016-09-28 | 河海大学常州校区 | Community intelligent physical examination service system and working method thereof |
| CN106021954A (en) * | 2016-06-07 | 2016-10-12 | 浪潮电子信息产业股份有限公司 | Intelligent medical system based on cloud computing technology |
| CN106101435A (en) * | 2016-07-21 | 2016-11-09 | 广东欧珀移动通信有限公司 | Control method and control device |
| CN106250705A (en) * | 2016-08-10 | 2016-12-21 | 深圳市衣信互联网科技有限公司 | A kind of big data collection analysis system and method based on cloud service |
| CN106302814A (en) * | 2016-09-28 | 2017-01-04 | 江西博瑞彤芸科技有限公司 | Healthy message sink exhibiting method |
| CN106302703A (en) * | 2016-08-10 | 2017-01-04 | 深圳市衣信互联网科技有限公司 | The signal processing system of a kind of mobile data terminal and method |
| CN106308778A (en) * | 2016-08-16 | 2017-01-11 | 江西科技师范大学 | Control method and control system for smart home devices |
| CN106339576A (en) * | 2016-07-20 | 2017-01-18 | 美的集团股份有限公司 | Health management method and system |
| CN106419863A (en) * | 2016-11-23 | 2017-02-22 | 深圳市维亿魄科技有限公司 | Wristband equipment for monitoring drinking state of human body on basis of pulse wave energy distribution and monitoring method |
| CN106453487A (en) * | 2016-08-18 | 2017-02-22 | 深圳市永兴元科技股份有限公司 | Method for monitoring elder safety and cloud server |
| CN106453530A (en) * | 2016-09-28 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | Health message receiving and presentation method |
| CN106503073A (en) * | 2016-09-30 | 2017-03-15 | 刘兴兵 | Task processing method, Task Processing Unit and mobile intelligent terminal |
| CN106503110A (en) * | 2016-10-18 | 2017-03-15 | 江西博瑞彤芸科技有限公司 | Health and fitness information method for pushing |
| CN106529193A (en) * | 2016-11-30 | 2017-03-22 | 上海明波通信技术股份有限公司 | Health examination system |
| CN106709249A (en) * | 2016-12-20 | 2017-05-24 | 平顶山学院 | Intelligent medical service platform |
| CN106777896A (en) * | 2016-11-25 | 2017-05-31 | 李燕芳 | A kind of personal health management system and method |
| CN106777886A (en) * | 2016-11-23 | 2017-05-31 | 北海高创电子信息孵化器有限公司 | A kind of human pathology dissects diagnostic system |
| CN106897569A (en) * | 2017-03-02 | 2017-06-27 | 镇江市高等专科学校 | A kind of method of work of intelligent health terminal system |
| WO2017113134A1 (en) * | 2015-12-29 | 2017-07-06 | 深圳市鼎芯无限科技有限公司 | Medical data monitoring method and device |
| CN107145703A (en) * | 2017-03-21 | 2017-09-08 | 孙煜 | A kind of real-time dynamic big data collection and application system |
| CN107330271A (en) * | 2017-06-29 | 2017-11-07 | 济南浪潮高新科技投资发展有限公司 | A kind of medical examination method and its device based on high in the clouds big data Internet of Things and intelligent Portrait brand technology |
| CN107591199A (en) * | 2017-08-09 | 2018-01-16 | 广东欧珀移动通信有限公司 | Information-pushing method and its device |
| CN107658001A (en) * | 2017-10-10 | 2018-02-02 | 丁木(北京)技术有限公司 | A kind of home-use oily health control method and system |
| CN107978344A (en) * | 2017-11-20 | 2018-05-01 | 广州市健全家源信息科技有限公司 | A kind of behavior monitoring and managing method, device and electronic equipment |
| CN108304730A (en) * | 2017-12-14 | 2018-07-20 | 广州华夏汇海科技有限公司 | The physique test method, apparatus and system of identity-based identification |
| CN108376561A (en) * | 2018-05-17 | 2018-08-07 | 北京维康恒科技有限公司 | The method and system of rehabilitation suggestion are provided based on real-time sign data |
| CN108614442A (en) * | 2018-06-07 | 2018-10-02 | 南京林业大学 | A kind of intelligent home endowment service system |
| CN108766516A (en) * | 2018-03-20 | 2018-11-06 | 安徽赛福贝特信息技术有限公司 | A kind of health management service platform based on big data |
| CN108899090A (en) * | 2018-06-29 | 2018-11-27 | 珠海市魅族科技有限公司 | Health control method and device, computer equipment and storage medium |
| CN109074867A (en) * | 2016-04-25 | 2018-12-21 | 三星电子株式会社 | Summarize the system and method for improving healthy result with successive learning for providing |
| CN109390042A (en) * | 2018-10-10 | 2019-02-26 | 广州市雅天网络科技有限公司 | Statement-of-health generation method, equipment and readable storage medium storing program for executing |
| CN109408503A (en) * | 2018-07-12 | 2019-03-01 | 首都经济贸易大学 | Collaboration endowment method of servicing and system based on intelligent terminal and big data analysis |
| CN109545395A (en) * | 2018-11-26 | 2019-03-29 | 深圳市善行智能生物科技有限公司 | One week statement-of-health system |
| CN109659001A (en) * | 2018-12-18 | 2019-04-19 | 延安大学 | A kind of anti-cancer supervisory systems and method |
| CN109727675A (en) * | 2018-12-24 | 2019-05-07 | 深圳创维－Rgb电子有限公司 | A kind of health status detection method, system and television set based on television set |
| CN111063437A (en) * | 2019-12-12 | 2020-04-24 | 中科海微(北京)科技有限公司 | Personalized chronic disease analysis system |
| CN111063411A (en) * | 2019-10-23 | 2020-04-24 | 王向欣 | Overall healthy ecological management method and system |
| CN111358437A (en) * | 2020-03-16 | 2020-07-03 | 王英华 | Chronic disease health management non-drug intervention method and system |
| CN111584020A (en) * | 2020-04-30 | 2020-08-25 | 张建春 | Personal healthy life big data acquisition and analysis system |
| CN111728600A (en) * | 2020-06-29 | 2020-10-02 | 北京凤凰医联科技有限公司 | Blood pressure and blood sugar monitoring system |
| CN111818173A (en) * | 2020-07-21 | 2020-10-23 | 郑州大学 | Medication reminding system and method based on active big data perception |
| CN112071381A (en) * | 2020-09-01 | 2020-12-11 | 物卡智能科技(深圳)有限公司 | Health index acquisition and analysis system based on personal behavior data |
| CN112236825A (en) * | 2018-07-04 | 2021-01-15 | 欧姆龙健康医疗事业株式会社 | Health management support device, method, and program |
| CN112700839A (en) * | 2020-12-29 | 2021-04-23 | 深圳市携康网络科技有限公司 | Artificial intelligence health management method and system based on big data |
| CN112768031A (en) * | 2021-01-27 | 2021-05-07 | 南京贰零叁零健康科技发展有限公司 | Health management method for conditioning physical examination of comprehensive diet sports body and preventing chronic diseases |
| CN112948641A (en) * | 2021-03-25 | 2021-06-11 | 河北农业大学 | Three-dimensional database construction method for agriculture and agricultural technology diffusion platform |
| US11996171B2 (en) | 2017-04-25 | 2024-05-28 | Samsung Electronics Co., Ltd. | System and method for providing aggregation and continuous learning to improve health outcomes |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103876711A (en) * | 2014-03-27 | 2014-06-25 | 北京圣博亚科技有限公司 | Wearable electronic device and human body health monitoring and managing system |
| CN104158930A (en) * | 2014-08-29 | 2014-11-19 | 何进 | Healthy perception protective shell based on intelligent cloud computing |
| CN104305965A (en) * | 2014-11-12 | 2015-01-28 | 武汉理工数字传播工程有限公司 | Health management system |
-
2015
- 2015-05-26 CN CN201510273212.1A patent/CN104834827A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103876711A (en) * | 2014-03-27 | 2014-06-25 | 北京圣博亚科技有限公司 | Wearable electronic device and human body health monitoring and managing system |
| CN104158930A (en) * | 2014-08-29 | 2014-11-19 | 何进 | Healthy perception protective shell based on intelligent cloud computing |
| CN104305965A (en) * | 2014-11-12 | 2015-01-28 | 武汉理工数字传播工程有限公司 | Health management system |
Cited By (65)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160160A (en) * | 2015-08-17 | 2015-12-16 | 贵阳朗玛信息技术股份有限公司 | Big data intelligent analysis system and application method thereof |
| CN105160160B (en) * | 2015-08-17 | 2018-06-15 | 贵阳朗玛信息技术股份有限公司 | Big data intelligent analysis system and its application process |
| CN105205308A (en) * | 2015-08-26 | 2015-12-30 | 宇龙计算机通信科技(深圳)有限公司 | Menu recommendation method and user terminal |
| CN105193386A (en) * | 2015-08-26 | 2015-12-30 | 浪潮电子信息产业股份有限公司 | Cloud computing based intelligent sleeping pillow system |
| CN105512497A (en) * | 2015-12-29 | 2016-04-20 | 深圳市鼎芯无限科技有限公司 | Method and device for monitoring medical data |
| WO2017113134A1 (en) * | 2015-12-29 | 2017-07-06 | 深圳市鼎芯无限科技有限公司 | Medical data monitoring method and device |
| CN105760693A (en) * | 2016-03-09 | 2016-07-13 | 哈尔滨商业大学 | Intelligent sleep supervision system and intelligent healthy sleep supervision and control system based on Internet of Things |
| CN105868547A (en) * | 2016-03-24 | 2016-08-17 | 惠州Tcl移动通信有限公司 | User-health-state analysis method and system, device and terminal |
| CN109074867A (en) * | 2016-04-25 | 2018-12-21 | 三星电子株式会社 | Summarize the system and method for improving healthy result with successive learning for providing |
| CN105842309A (en) * | 2016-05-05 | 2016-08-10 | 上海由威通信科技有限公司 | Intelligent blood analyzer |
| CN106021954A (en) * | 2016-06-07 | 2016-10-12 | 浪潮电子信息产业股份有限公司 | Intelligent medical system based on cloud computing technology |
| CN105939235A (en) * | 2016-06-28 | 2016-09-14 | 柒贰零（北京）健康科技有限公司 | Environment monitoring system based on network set top box |
| CN105979006A (en) * | 2016-06-30 | 2016-09-28 | 河海大学常州校区 | Community intelligent physical examination service system and working method thereof |
| CN106339576A (en) * | 2016-07-20 | 2017-01-18 | 美的集团股份有限公司 | Health management method and system |
| CN106101435A (en) * | 2016-07-21 | 2016-11-09 | 广东欧珀移动通信有限公司 | Control method and control device |
| CN106302703A (en) * | 2016-08-10 | 2017-01-04 | 深圳市衣信互联网科技有限公司 | The signal processing system of a kind of mobile data terminal and method |
| CN106302703B (en) * | 2016-08-10 | 2020-02-07 | 深圳市衣信互联网科技有限公司 | Signal processing system and method of mobile data terminal |
| CN106250705A (en) * | 2016-08-10 | 2016-12-21 | 深圳市衣信互联网科技有限公司 | A kind of big data collection analysis system and method based on cloud service |
| CN106308778A (en) * | 2016-08-16 | 2017-01-11 | 江西科技师范大学 | Control method and control system for smart home devices |
| CN106453487A (en) * | 2016-08-18 | 2017-02-22 | 深圳市永兴元科技股份有限公司 | Method for monitoring elder safety and cloud server |
| CN106453530A (en) * | 2016-09-28 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | Health message receiving and presentation method |
| CN106302814A (en) * | 2016-09-28 | 2017-01-04 | 江西博瑞彤芸科技有限公司 | Healthy message sink exhibiting method |
| CN106503073A (en) * | 2016-09-30 | 2017-03-15 | 刘兴兵 | Task processing method, Task Processing Unit and mobile intelligent terminal |
| CN106503110A (en) * | 2016-10-18 | 2017-03-15 | 江西博瑞彤芸科技有限公司 | Health and fitness information method for pushing |
| CN106777886A (en) * | 2016-11-23 | 2017-05-31 | 北海高创电子信息孵化器有限公司 | A kind of human pathology dissects diagnostic system |
| CN106419863A (en) * | 2016-11-23 | 2017-02-22 | 深圳市维亿魄科技有限公司 | Wristband equipment for monitoring drinking state of human body on basis of pulse wave energy distribution and monitoring method |
| CN106777896A (en) * | 2016-11-25 | 2017-05-31 | 李燕芳 | A kind of personal health management system and method |
| CN106529193A (en) * | 2016-11-30 | 2017-03-22 | 上海明波通信技术股份有限公司 | Health examination system |
| CN106709249A (en) * | 2016-12-20 | 2017-05-24 | 平顶山学院 | Intelligent medical service platform |
| CN106897569A (en) * | 2017-03-02 | 2017-06-27 | 镇江市高等专科学校 | A kind of method of work of intelligent health terminal system |
| CN107145703A (en) * | 2017-03-21 | 2017-09-08 | 孙煜 | A kind of real-time dynamic big data collection and application system |
| US11996171B2 (en) | 2017-04-25 | 2024-05-28 | Samsung Electronics Co., Ltd. | System and method for providing aggregation and continuous learning to improve health outcomes |
| CN107330271A (en) * | 2017-06-29 | 2017-11-07 | 济南浪潮高新科技投资发展有限公司 | A kind of medical examination method and its device based on high in the clouds big data Internet of Things and intelligent Portrait brand technology |
| CN107591199A (en) * | 2017-08-09 | 2018-01-16 | 广东欧珀移动通信有限公司 | Information-pushing method and its device |
| CN107658001A (en) * | 2017-10-10 | 2018-02-02 | 丁木(北京)技术有限公司 | A kind of home-use oily health control method and system |
| CN107658001B (en) * | 2017-10-10 | 2020-10-13 | 一步到味(天津)科技有限公司 | Household oil health management method and system |
| CN107978344A (en) * | 2017-11-20 | 2018-05-01 | 广州市健全家源信息科技有限公司 | A kind of behavior monitoring and managing method, device and electronic equipment |
| CN108304730A (en) * | 2017-12-14 | 2018-07-20 | 广州华夏汇海科技有限公司 | The physique test method, apparatus and system of identity-based identification |
| CN108766516A (en) * | 2018-03-20 | 2018-11-06 | 安徽赛福贝特信息技术有限公司 | A kind of health management service platform based on big data |
| CN108376561A (en) * | 2018-05-17 | 2018-08-07 | 北京维康恒科技有限公司 | The method and system of rehabilitation suggestion are provided based on real-time sign data |
| CN108614442A (en) * | 2018-06-07 | 2018-10-02 | 南京林业大学 | A kind of intelligent home endowment service system |
| CN108899090A (en) * | 2018-06-29 | 2018-11-27 | 珠海市魅族科技有限公司 | Health control method and device, computer equipment and storage medium |
| CN112236825A (en) * | 2018-07-04 | 2021-01-15 | 欧姆龙健康医疗事业株式会社 | Health management support device, method, and program |
| CN109408503A (en) * | 2018-07-12 | 2019-03-01 | 首都经济贸易大学 | Collaboration endowment method of servicing and system based on intelligent terminal and big data analysis |
| CN109408503B (en) * | 2018-07-12 | 2021-07-02 | 首都经济贸易大学 | Cooperative old-age care service method and system based on intelligent terminal and big data analysis |
| CN109390042A (en) * | 2018-10-10 | 2019-02-26 | 广州市雅天网络科技有限公司 | Statement-of-health generation method, equipment and readable storage medium storing program for executing |
| CN109545395A (en) * | 2018-11-26 | 2019-03-29 | 深圳市善行智能生物科技有限公司 | One week statement-of-health system |
| CN109659001A (en) * | 2018-12-18 | 2019-04-19 | 延安大学 | A kind of anti-cancer supervisory systems and method |
| CN109659001B (en) * | 2018-12-18 | 2023-08-04 | 延安大学 | Cancer prevention supervision system and method |
| CN109727675A (en) * | 2018-12-24 | 2019-05-07 | 深圳创维－Rgb电子有限公司 | A kind of health status detection method, system and television set based on television set |
| CN111063411A (en) * | 2019-10-23 | 2020-04-24 | 王向欣 | Overall healthy ecological management method and system |
| CN111063437A (en) * | 2019-12-12 | 2020-04-24 | 中科海微(北京)科技有限公司 | Personalized chronic disease analysis system |
| CN111063437B (en) * | 2019-12-12 | 2024-01-23 | 中科海微(北京)科技有限公司 | Personalized chronic disease analysis system |
| CN111358437A (en) * | 2020-03-16 | 2020-07-03 | 王英华 | Chronic disease health management non-drug intervention method and system |
| CN111584020A (en) * | 2020-04-30 | 2020-08-25 | 张建春 | Personal healthy life big data acquisition and analysis system |
| CN111584020B (en) * | 2020-04-30 | 2021-05-25 | 蓝天方舟健康物联网(湖北)有限公司 | Personal healthy life big data acquisition and analysis system |
| CN111728600A (en) * | 2020-06-29 | 2020-10-02 | 北京凤凰医联科技有限公司 | Blood pressure and blood sugar monitoring system |
| CN111728600B (en) * | 2020-06-29 | 2021-01-19 | 北京凤凰医联科技有限公司 | Blood pressure and blood sugar monitoring system |
| CN111818173A (en) * | 2020-07-21 | 2020-10-23 | 郑州大学 | Medication reminding system and method based on active big data perception |
| CN111818173B (en) * | 2020-07-21 | 2023-06-09 | 郑州大学 | Medication reminding system and method based on active big data perception |
| CN112071381A (en) * | 2020-09-01 | 2020-12-11 | 物卡智能科技(深圳)有限公司 | Health index acquisition and analysis system based on personal behavior data |
| CN112700839A (en) * | 2020-12-29 | 2021-04-23 | 深圳市携康网络科技有限公司 | Artificial intelligence health management method and system based on big data |
| CN112768031A (en) * | 2021-01-27 | 2021-05-07 | 南京贰零叁零健康科技发展有限公司 | Health management method for conditioning physical examination of comprehensive diet sports body and preventing chronic diseases |
| CN112948641A (en) * | 2021-03-25 | 2021-06-11 | 河北农业大学 | Three-dimensional database construction method for agriculture and agricultural technology diffusion platform |
| CN112948641B (en) * | 2021-03-25 | 2022-10-11 | 河北农业大学 | Agricultural three-dimensional database construction method and agricultural technology diffusion platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104834827A (en) | Health data processing method and system based on terminal equipment and cloud computation storage | |
| US20210035067A1 (en) | Method to increase efficiency, coverage, and quality of direct primary care | |
| KR102658817B1 (en) | Systems and methods for mobile platforms designed to support digital health management and remote patient monitoring | |
| EP3148435B1 (en) | System for monitoring health related information for individuals | |
| US9345404B2 (en) | Mobile device that monitors an individuals activities, behaviors, habits or health parameters | |
| US20150289797A1 (en) | System for monitoring and presenting health, wellness and fitness trend data with activity and pattern detection | |
| US20150339946A1 (en) | System for monitoring and presenting health, wellness and fitness trend data having user selectable parameters | |
| CN105118010A (en) | Chronic disease management method with functions of real-time data processing and real-time information sharing and life style intervention information | |
| US20140324459A1 (en) | Automatic health monitoring alerts | |
| CN110544541B (en) | Monitoring and evaluating system for life and health state of old people | |
| CN103402423A (en) | Patient deterioration detection | |
| JP2007505412A (en) | Weight and other physiological status monitoring and management systems including interactive and personalized planning, intervention and reporting capabilities | |
| JP2017045142A (en) | Device and method for supporting life habit management | |
| CN110648737A (en) | Knowledge base establishing system and method based on old people nursing guide and disability and intelligence loss | |
| CN106455996A (en) | Method and device for the non-invasive monitoring and identification of drug effects and interactions | |
| WO2021070472A1 (en) | Information processing device, information processing system, and information processing method | |
| CN109074867A (en) | Summarize the system and method for improving healthy result with successive learning for providing | |
| Jones et al. | Interpreting streaming biosignals: in search of best approaches to augmenting mobile health monitoring with machine learning for adaptive clinical decision support | |
| Elkefi | Supporting patients’ workload through wearable devices and mobile health applications, a systematic literature review | |
| Chi | Sensor Diagnosis System for Sleep | |
| JP2011244848A (en) | Device for creating health care screen, health care system, method for creating health care screen, control program, and recording medium | |
| WO2021195610A9 (en) | Lifestyle activity detection for diabetes management | |
| Reginatto | Opportunities for mHealth in an Aging Population Context |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150812 |
|
| RJ01 | Rejection of invention patent application after publication |