CN202067276U - Mobile health management system - Google Patents
Mobile health management system Download PDFInfo
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- CN202067276U CN202067276U CN2011201462508U CN201120146250U CN202067276U CN 202067276 U CN202067276 U CN 202067276U CN 2011201462508 U CN2011201462508 U CN 2011201462508U CN 201120146250 U CN201120146250 U CN 201120146250U CN 202067276 U CN202067276 U CN 202067276U
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Abstract
The utility model discloses a mobile health management system, which comprises a signal acquisition device, a mobile device, a cloud computing data processing center and a user terminal, wherein the signal acquisition device is wirelessly connected with the mobile device, the mobile device is wirelessly connected with the cloud computing data processing center, and the cloud computing data processing center is wirelessly connected with the user terminal. By the aid of the signal acquisition device, the mobile device, the cloud computing data processing center and the user terminal which are connected mutually and wirelessly, the mobile health management system performs mass cloud computing and processing of various human body characteristic signals acquired by the signal acquisition device and is capable of obtaining analysis results of health state of a human body through comprehensive analysis.
Description
Technical field
The utility model relates to electronic applications, relates in particular to a kind of mobile health management system arranged.
Background technology
In recent years, along with the lifting of the flourish and health care consciousness of semiconductor science and technology, many medical equipment or the body-building apparatus that can measure health data are just emerge like the mushrooms after rain as sphygmomanometer, weighing instrument, heart rate monitor and treadmill etc.Yet along with the lifting of public demand, only the medical equipment of energy measurement health data or healthy equipment can't be judged user's health status because do not have the data analysis and the statistics of system, also can't monitor user's health condition.
Existing health management system arranged the obtaining and preserving of data that generally only be confined to, and do not have analysis ability, for not possessing the user of professional disease, health knowledge, can't provide healthy indication result directly perceived and straightaway, be unfavorable for that the popularization of system reaches universal.Mainly there is following problem in it:
One, majority is the unit operation system, does not have the good network support platform;
Two, because mass data processing needs higher computer hardware condition, thereby existing unit or simple network can't be supported the magnanimity operational analysis;
Three, do not make full use of the network mechanism of radio communication, do not possess the convenient ability of obtaining health data in real time.
The utility model content
The technical matters that the utility model mainly solves provides mobile health management system arranged that a kind of system for cloud computing based on mobile device analyzes.
For solving the problems of the technologies described above, the technical scheme that the utility model adopts is: provide a kind of mobile health management system arranged, comprise signal pickup assembly, mobile device, cloud computing data processing centre (DPC) and user terminal, described signal pickup assembly and mobile device wireless connections, mobile device and the wireless connections of cloud computing data processing centre (DPC), cloud computing data processing centre (DPC) and user terminal wireless connections.
Wherein, described signal pickup assembly be weighing instrument, the blood pressure monitor that is used to gather blood pressure data that is used to gather weight data, the oxygen saturation monitor instrument that is used to gather oximetry data, the treadmill that is used to gather the heart rate monitor of heart rate data and/or is used to gather the motion frequency data.
Wherein, described cloud computing data processing centre (DPC) comprises and is converted to the curve conversion equipment that can demonstrate result curve on mobile device with described weight data, monitoring of blood pressure data, oxygen saturation monitor data, heart rate data and/or the analysis of motion frequency aggregation of data and the cloud computing APU of obtaining a result with analysis result.
Wherein, described mobile device is iPhone mobile phone, iPad or the iPod touch of the iOS system that is mounted with of Apple, perhaps is mounted with the smart mobile phone of Android system.
Wherein, described signal pickup assembly and mobile device adopt the wireless connections of bluetooth communication mode.
The beneficial effects of the utility model are: what be different from prior art is health management system arranged basic for unit operation or depend on simple network service and can not carry out mass data processing, the defective that can not analysis-by-synthesis draws the analysis on the health status result, the signal pickup assembly of the mutual wireless connections of the utility model utilization, mobile device, cloud computing data processing centre (DPC) and user terminal, the various human body characteristics signal of signal pickup assembly collection is carried out the magnanimity cloud computing handle, can analysis-by-synthesis draw the analysis result of human health status.
Description of drawings
Fig. 1 is that the utility model moves the health management system arranged first example structure synoptic diagram;
Fig. 2 is that the utility model moves the health management system arranged second example structure synoptic diagram;
Fig. 3 is that the utility model moves health management system arranged the 3rd example structure synoptic diagram;
Fig. 4 is that the utility model moves health management system arranged the 4th example structure synoptic diagram;
Fig. 5 is that the utility model moves health management system arranged the 5th example structure synoptic diagram.
Embodiment
By describing technology contents of the present utility model, structural attitude in detail, realized purpose and effect, give explanation below in conjunction with embodiment and conjunction with figs. are detailed.
See also Fig. 1, the utility model moves among the health management system arranged embodiment, this system comprises signal pickup assembly 10, mobile device 11, cloud computing data processing centre (DPC) 12 and user terminal 13, described signal pickup assembly 10 and mobile device 11 wireless connections, mobile device 11 and 12 wireless connections of cloud computing data processing centre (DPC), cloud computing data processing centre (DPC) 12 and user terminal 13 wireless connections.Signal pickup assembly 10 is used to gather various human body characteristics data, as weight data, blood pressure data, oximetry data, heart rate data and/or motion frequency data etc., after signal pickup assembly 10 collects above-mentioned data, send in the mobile device 11 by wireless mode, mobile device 11 is mobile devices such as mobile phone or panel computer, based on these mobility devices, upload the above-mentioned data message that collects by wireless network, utilize the intensive data Treatment Analysis of cloud computing data processing centre (DPC) 12, draw healthy result data, give user terminal 13 by wireless network transmissions, user terminal can be notebook computer, equipment such as mobile phone or panel computer, make things convenient for user oneself to check, also make things convenient for the foundation of doctor as diagnosis and treatment.
What be different from prior art is health management system arranged basic for unit operation or depend on simple network service and can not carry out mass data processing, the defective that can not analysis-by-synthesis draws the analysis on the health status result, the signal pickup assembly of the mutual wireless connections of the utility model utilization, mobile device, cloud computing data processing centre (DPC) and user terminal, the various human body characteristics signal of signal pickup assembly collection is carried out the magnanimity cloud computing handle, can analysis-by-synthesis draw the analysis result of human health status.
See also Fig. 2, Fig. 3, Fig. 4 and Fig. 5, in one embodiment, described signal pickup assembly 10 for the weighing instrument 101, the blood pressure monitor 102 that is used to gather blood pressure data that are used to gather weight data, be used to gather the oxygen saturation monitor instrument 103 of oximetry data, the treadmill 105 that is used to gather the heart rate monitor 104 of heart rate data and/or is used to gather the motion frequency data.
See also Fig. 2, Fig. 3, Fig. 4 and Fig. 5, in one embodiment, described cloud computing data processing centre (DPC) 12 comprises and is converted to the curve conversion equipment 122 that can demonstrate result curve on mobile device with described weight data, monitoring of blood pressure data, oxygen saturation monitor data, heart rate data and/or the analysis of motion frequency aggregation of data and the cloud computing APU 121 of obtaining a result with analysis result.
See also Fig. 2, Fig. 3, Fig. 4 and Fig. 5, in one embodiment, described mobile device 11 is for iPhone mobile phone 111, iPod touch 112, the iPad 113 of the iOS system that is mounted with of Apple or be mounted with the smart mobile phone 114 of Android system.Described user terminal 13 is for iPhone mobile phone 131, iPod touch 132, the iPad 133 of the iOS system that is mounted with of Apple or be mounted with the smart mobile phone 134 of Android system.
In one embodiment, described signal pickup assembly 10 adopts the wireless connections of bluetooth communication mode with mobile device 11.
The utility model has the following advantages at least:
One, have the good network support platform, and adopt communication communication, data acquisition is downloaded convenient and reliable;
Two, introduce the computer hardware condition of cloud computing data processing centre (DPC), thereby support the magnanimity operational analysis, and can carry out statistical study to a large amount of health and fitness information of user and handle, draw health and fitness information curve result, show user or doctor intuitively, as the health status reference;
Three, make full use of the network mechanism of bluetooth or other radio communication, possess the convenient ability of obtaining health data in real time;
Four, owing to adopt everybody equipment used in everyday--mobile phone, do not need to increase intermediate equipment, saved the system architecture cost.
The above only is embodiment of the present utility model; be not so limit claim of the present utility model; every equivalent structure or equivalent flow process conversion that utilizes the utility model instructions and accompanying drawing content to be done; or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present utility model.
Claims (5)
1. one kind is moved health management system arrangedly, it is characterized in that:
Comprise signal pickup assembly, mobile device, cloud computing data processing centre (DPC) and user terminal, described signal pickup assembly and mobile device wireless connections, mobile device and the wireless connections of cloud computing data processing centre (DPC), cloud computing data processing centre (DPC) and user terminal wireless connections.
2. according to claim 1 mobile health management system arranged, it is characterized in that:
The treadmill that described signal pickup assembly is weighing instrument, the blood pressure monitor that is used to gather blood pressure data that is used to gather weight data, the oxygen saturation monitor instrument that is used to gather oximetry data, be used to gather the heart rate monitor of heart rate data and/or be used to gather the motion frequency data.
3. according to claim 2 mobile health management system arranged, it is characterized in that:
Described cloud computing data processing centre (DPC) comprises and is converted to the curve conversion equipment that can demonstrate result curve on mobile device with described weight data, monitoring of blood pressure data, oxygen saturation monitor data, heart rate data and/or the analysis of motion frequency aggregation of data and the cloud computing APU of obtaining a result with analysis result.
4. each describedly moves health management system arrangedly according to claim 1～3, it is characterized in that:
Described mobile device is iPhone mobile phone, iPad or the iPod touch of the iOS system that is mounted with of Apple, perhaps is mounted with the smart mobile phone of Android system.
5. according to claim 4 mobile health management system arranged, it is characterized in that:
Described signal pickup assembly and mobile device adopt the wireless connections of bluetooth communication mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201462508U CN202067276U (en) | 2011-05-10 | 2011-05-10 | Mobile health management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201462508U CN202067276U (en) | 2011-05-10 | 2011-05-10 | Mobile health management system |
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| CN202067276U true CN202067276U (en) | 2011-12-07 |
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| CN2011201462508U Expired - Fee Related CN202067276U (en) | 2011-05-10 | 2011-05-10 | Mobile health management system |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609627A (en) * | 2012-03-15 | 2012-07-25 | 四川长虹电器股份有限公司 | Autonomous remote health monitoring system |
| CN102670181A (en) * | 2012-06-06 | 2012-09-19 | 武汉大学 | Portable vital sign detection system and vital sign detection method |
| CN102846310A (en) * | 2012-09-19 | 2013-01-02 | 张成甫 | Cardiac sound detecting system based on cloud computing |
| CN102981464A (en) * | 2012-10-26 | 2013-03-20 | 广东志高空调有限公司 | Cloud technology application intelligent home with intelligent health care function |
| CN104000562A (en) * | 2014-06-09 | 2014-08-27 | 深圳市中兴移动通信有限公司 | Health reminding system, health reminding method and health reminding device |
| CN104173032A (en) * | 2013-05-28 | 2014-12-03 | 天津点康科技有限公司 | Electronic health detection tablet system |
| CN104490404A (en) * | 2014-12-12 | 2015-04-08 | 天津大学 | Cordless pulse oximeter |
| CN104783804A (en) * | 2014-06-03 | 2015-07-22 | 合肥星服信息科技有限责任公司 | Balance sensing remote monitoring device for hypertension patient |
| CN104825153A (en) * | 2015-01-07 | 2015-08-12 | 湘潭大学 | Remote wearable synchronous detection system for multiplex medical electric signals based on cloud computing |
| CN105160157A (en) * | 2015-08-10 | 2015-12-16 | 武汉哈福科技有限公司 | Hyperlipidemia, hypertension and hyperglycemia health management dynamic monitoring and management system and method |
| CN105184081A (en) * | 2015-09-09 | 2015-12-23 | 徐州工程学院 | Blood pressure measurement data access method |
| CN108207108A (en) * | 2015-09-17 | 2018-06-26 | 塞雷尼姆有限公司 | Pulse blood oxygen measuring system and method and optional headgear assemblies based on high in the clouds |
-
2011
- 2011-05-10 CN CN2011201462508U patent/CN202067276U/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609627A (en) * | 2012-03-15 | 2012-07-25 | 四川长虹电器股份有限公司 | Autonomous remote health monitoring system |
| CN102670181A (en) * | 2012-06-06 | 2012-09-19 | 武汉大学 | Portable vital sign detection system and vital sign detection method |
| CN102846310A (en) * | 2012-09-19 | 2013-01-02 | 张成甫 | Cardiac sound detecting system based on cloud computing |
| CN102981464A (en) * | 2012-10-26 | 2013-03-20 | 广东志高空调有限公司 | Cloud technology application intelligent home with intelligent health care function |
| CN104173032A (en) * | 2013-05-28 | 2014-12-03 | 天津点康科技有限公司 | Electronic health detection tablet system |
| CN104783804A (en) * | 2014-06-03 | 2015-07-22 | 合肥星服信息科技有限责任公司 | Balance sensing remote monitoring device for hypertension patient |
| CN104000562A (en) * | 2014-06-09 | 2014-08-27 | 深圳市中兴移动通信有限公司 | Health reminding system, health reminding method and health reminding device |
| CN104490404A (en) * | 2014-12-12 | 2015-04-08 | 天津大学 | Cordless pulse oximeter |
| CN104825153A (en) * | 2015-01-07 | 2015-08-12 | 湘潭大学 | Remote wearable synchronous detection system for multiplex medical electric signals based on cloud computing |
| CN105160157A (en) * | 2015-08-10 | 2015-12-16 | 武汉哈福科技有限公司 | Hyperlipidemia, hypertension and hyperglycemia health management dynamic monitoring and management system and method |
| CN105184081A (en) * | 2015-09-09 | 2015-12-23 | 徐州工程学院 | Blood pressure measurement data access method |
| CN105184081B (en) * | 2015-09-09 | 2018-06-05 | 徐州工程学院 | A kind of access method of blood-pressure measurement data |
| CN108207108A (en) * | 2015-09-17 | 2018-06-26 | 塞雷尼姆有限公司 | Pulse blood oxygen measuring system and method and optional headgear assemblies based on high in the clouds |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111207 Termination date: 20120510 |