CN202351878U - Auxiliary modularized cardio-pulmonary function monitoring system applying cloud computing technology - Google Patents
Auxiliary modularized cardio-pulmonary function monitoring system applying cloud computing technology Download PDFInfo
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- CN202351878U CN202351878U CN 201120499743 CN201120499743U CN202351878U CN 202351878 U CN202351878 U CN 202351878U CN 201120499743 CN201120499743 CN 201120499743 CN 201120499743 U CN201120499743 U CN 201120499743U CN 202351878 U CN202351878 U CN 202351878U
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Abstract
The utility model relates to an auxiliary modularized cardio-pulmonary function monitoring system applying a cloud computing technology. The auxiliary modularized cardio-pulmonary function monitoring system applying a cloud computing technology is characterized by comprising a detected client side, the detected client side is connected with a monitoring device which is used for collecting physiological parameters of cardio-pulmonary function, the detected client side communicates with a cloud data processing center by a communication link, and the cloud data processing center analyzes the data obtained from the detected client side and transmits the analyzed result to a medical service side or other detected client sides through a communication link. The auxiliary modularized cardio-pulmonary function monitoring system can make corresponding adjustment for a monitoring module according to illness of a detected client. In addition, introduced cloud computing leads the sharing of resources and information to be more convenient, thus promoting the communication between the detected clients and professional medical staffs, being beneficial for doctors to search out latest medical knowledge, and providing more excellent treatment schemes for patients. Therefore, medical resources can be effectively allocated, and the illness of the detected client can also be better monitored.
Description
Technical field
The utility model relates to a kind of system that tested client is carried out the monitoring of supplementary module cardio-pulmonary function of calculating through high in the clouds.
Background technology
After the chronic diseases such as tested client has a heart disease in diagnosis, asthma, chronic obstructive pulmonary disease, sleep apnea, often need regularly go hospital's further consultation to develop with disease controlling.At present, along with the aggravation of social senilization's degree, the disparities between supply and demand of medical resource are more and more outstanding, can't satisfy tested client's the demand of seeking medical advice.In addition; Cardio-pulmonary function monitoring covering scope is wider; Comprise the monitoring of tested client's many indexs such as electrocardio, blood pressure, breathing, consider the dynamic change of the individual difference and the state of an illness, if can be according to tested client's state of an illness; Monitoring module is made corresponding adjustment, help the timely discovery and the early diagnosis of the state of an illness.
Summary of the invention
The purpose of the utility model provides a kind of system that can carry out the monitoring of supplementary module cardio-pulmonary function to tested client.
In order to achieve the above object; The technical scheme of the utility model has provided a kind of supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique; It is characterized in that: comprise tested client; Tested client connects in order to gather the monitor device of cardio-pulmonary function physiological parameter; Tested client is analyzed the data that obtain from tested client by high in the clouds data processing centre (DPC) through carrying out communication between communication link and the high in the clouds data processing centre (DPC), and the result that high in the clouds data processing centre (DPC) will analyze is transferred to medical services end or other tested client through communication link.
Preferably; Said tested client comprises in order to gather the collecting unit of the physiological parameter data that obtains through said monitor device; The physiological parameter data that collecting unit collects is kept in the data storage cell temporarily; By the physiological parameter data in the data processing unit reading of data storage unit, export on tested client through display unit, and physiological parameter data is transferred to said data processing centre (DPC) through communication unit.
Preferably, said tested client is connected through bluetooth with said monitor device.
Preferably, said high in the clouds data processing centre (DPC) comprises first communication unit, receives the data that send over from said tested client by first communication unit through described communication link, and first communication unit connects the high in the clouds computing machine in order to data are analyzed.
Preferably; Said medical services end comprises the second communication unit; Receive the data that data processing centre (DPC) sends over from said high in the clouds by the second communication unit through described communication link, connection processing unit, second communication unit, processing unit deposits the data that receive in the high capacity storage unit; Man-machine interaction unit is according to instruction reading of data and show from the high capacity storage unit, or data are sent back to said high in the clouds data processing centre (DPC) through said communication link.
The utility model can be made corresponding adjustment to monitoring module according to tested client's state of an illness, helps the timely discovery and the early diagnosis of the state of an illness.Wherein, it is more convenient that the calculating of introducing high in the clouds makes resource share with information, both promoted the communication of tested client and medical professional, helps the doctor simultaneously and search up-to-date medical knowledge, is the better therapeutic scheme of patients design.Like this, medical resource can distribute effectively, and tested client's state of an illness is also better guarded.
Description of drawings
A kind of system chart of using the supplementary module cardio-pulmonary function monitor system of high in the clouds computing technique that Fig. 1 provides for the utility model;
Fig. 2 is the concrete workflow diagram among the embodiment.
Embodiment
For making the utility model more obviously understandable, now with a preferred embodiment, and conjunction with figs. elaborates as follows.
As shown in Figure 1, a kind of supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique that the utility model provides comprises tested client 10, gathers the cardio-pulmonary function supplemental characteristic by tested client 10.Tested client 10 can be carried for having the mobile phone of Bluetooth function.Each tested client 10 is through bluetooth 11 external monitor devices 12.Monitor device 12 is gathered the cardio-pulmonary function physiological parameter.The external monitor device 12 built-in cardio-pulmonary function parameter biosensors that comprise, EGC sensor for example, breathing gas flow sensor.
Tested client 10 comprises collecting unit 13, and collecting unit 13 comprises the single-chip microcomputer of control signal path, controls the connection status of tested client 10, is connected through circuit with tested client 10.The physiological parameter data that collects is kept in the data storage cell 14 temporarily, and data storage cell 14 comprises for example Flash storage card.Data are exported on tested client 10 through display unit 15.Display unit 15 comprises display screen and the interior drive plate of screen etc.Data processing unit 16 comprises single-chip microcomputer, the data that collect is comprised the processing of data sync and coding behind the coding, transferred to first communication unit 19 of high in the clouds data processing centre (DPC) 18 through communication link 20 by communication unit 17.Communication link 20 can adopt GSM/3G, or the Internet network.
High in the clouds data processing centre (DPC) 18 comprises data processing unit 21; Data processing unit 21 is a computing machine and an operation cover high in the clouds calculation procedure on computers; Can analyze data, produce the adjustment suggestion of monitoring module, comprise that suggestion is to the monitoring module increase and decrease with remain unchanged.The high in the clouds calculation procedure comprises Node1, Node2, Node3 and Node4.Wherein, Node1 is used to store the raw data of tested client 10, and, quantitative test qualitative through Node2 through the data mining technology arrangement, can draw module and recommend therapeutic scheme and keyword.Node3 comprises the network from Internet, the medical advice of electronic literature database and library automation etc.Medical professional can obtain information and modified module recommendation therapeutic scheme through search this element.Node4 comprises expert's question and answer platform and patient's intercommunion platform, and tested client 10 exchanges through the tested client 10 of communication link 20 and medical professional and other, shares gains in depth of comprehension.Analysis result that data that tested client 10 is gathered and data processing centre (DPC) produce and adjustment suggestion are transferred to the second communication unit 23 of medical services end 22 through first communication unit 19.Communication link 20 can adopt GSM/3G, or the Internet network.
Medical services end 22 comprises a tool devices and handset having Internet, and the data that receive are kept at high capacity storage unit 24, and high capacity storage unit 24 can be hard disk.Man-machine interaction unit 25 comprises a display and a cover program, can give medical professional with data display, and feedback information transfers to high in the clouds data processing centre (DPC) 18 through second communication unit 23.
Of Fig. 2, the idiographic flow of the utility model comprises:
Step 1, tested client start tested client 10;
Whether step 2,10 inspections of tested client receive module adjustment message;
If step 3 receives module adjustment message, interrupt current data collection task;
Step 4, the module scheme of upgrading are applied to tested client 10, instruct tested client or adjust monitoring module by medical professional;
Step 5, tested client 10 are carried out daily cardio-pulmonary function data acquisition, instruct tested client to operate according to current monitoring module requirement;
Step 6, the data that collect will be sent to high in the clouds data processing centre (DPC) 18 through internet or GPS/3G;
Step 7, high in the clouds data processing centre (DPC) 18 receive the data that tested client 10 is sent, and exist a plurality of tested clients 10 to carry out data transmission simultaneously with high in the clouds data processing centre (DPC) 18;
Step 8, tested client's raw data is stored in Node1, and tested client comprises that new client and executed cross the client that follows up a case by regular visits to of module therapeutic scheme;
Step 9, transfer specific tested client from Node1 raw data to Node2, draw through qualitative, quantitative test and to recommend therapeutic scheme and keyword;
Step 10, recommendation therapeutic scheme and keyword send to medical services end 22;
The data that step 11, medical services end 22 reception high in the clouds data processing centre (DPC)s 18 send;
Whether step 13, medical professional decision module after examining recommends therapeutic scheme reasonable;
If step 14 is unreasonable, medical professional can be searched data with modification from Node 3 through high in the clouds data processing centre (DPC) 18.Node 3 data source are the Internet, electronic literature database and library automation etc.Modify searched for and made to medical professional can according to the module recommended keywords;
Module scheme after step 15, the renewal will be saved to high in the clouds data processing centre (DPC) 18, if there is the modification of medical professional simultaneously, this information also will be preserved;
Step 18, adopt under the situation of configuration automatically in the execution of upgrading the result, high in the clouds data processing centre (DPC) 18 judges whether the renewal of module scheme;
Upgrade if step 19 exists, high in the clouds data processing centre (DPC) 18 sends to tested client 10 with new module scheme;
The module scheme that step 20, tested client 10 reception high in the clouds data processing centre (DPC)s 18 are sent, and carry out.
Claims (5)
1. supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique; It is characterized in that: comprise tested client (10); Tested client (10) connects in order to gather the monitor device (12) of cardio-pulmonary function physiological parameter; Tested client (10) is through carrying out communication between communication link (20) and the high in the clouds data processing centre (DPC) (18); By high in the clouds data processing centre (DPC) (18) data that obtain from tested client (10) are analyzed, the result that high in the clouds data processing centre (DPC) (18) will analyze is transferred to medical services end (22) or other tested client (10) through communication link (20).
2. a kind of supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique as claimed in claim 1; It is characterized in that: said tested client (10) comprises in order to gather the collecting unit (13) of the physiological parameter data that obtains through said monitor device (12); The physiological parameter data that collecting unit (13) collects is kept in the data storage cell (14) temporarily; By the physiological parameter data in data processing unit (16) the reading of data storage unit (14); Export on tested client (10) through display unit (15), and physiological parameter data is transferred to said data processing centre (DPC) (18) through communication unit (17).
3. a kind of supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique as claimed in claim 1, it is characterized in that: said tested client (10) is connected through bluetooth (11) with said monitor device (12).
4. a kind of supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique as claimed in claim 1; It is characterized in that: said high in the clouds data processing centre (DPC) (18) comprises first communication unit (19); Receive the data that send over from said tested client (10) by first communication unit (19) through described communication link (20), first communication unit (19) connects the high in the clouds computing machine (19) in order to data are analyzed.
5. a kind of supplementary module cardio-pulmonary function monitor system of using the high in the clouds computing technique as claimed in claim 1; It is characterized in that: said medical services end (22) comprises second communication unit (23); Receive the data that send over from said high in the clouds data processing centre (DPC) (18) through described communication link (20) by second communication unit (23); Connection processing unit, second communication unit (23); Processing unit deposits the data that receive in high capacity storage unit (24); Man-machine interaction unit (25) also shows according to instruction reading of data from high capacity storage unit (24), or data is sent back to said high in the clouds data processing centre (DPC) (18) through said communication link (20).
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102920445A (en) * | 2012-11-16 | 2013-02-13 | 四川宇峰科技发展有限公司 | Arteriosclerosis detector with cloud function |
| CN104063568A (en) * | 2013-03-21 | 2014-09-24 | 云狐科技(沈阳)有限公司 | Mobile medical system |
| CN104237457A (en) * | 2014-05-27 | 2014-12-24 | 李岩 | Air quality monitoring method and system |
| CN104346510A (en) * | 2013-08-05 | 2015-02-11 | 云狐科技(沈阳)有限公司 | Medical service system for oxyhemoglobin saturation by smart phone |
| CN105031786A (en) * | 2015-07-13 | 2015-11-11 | 湖南明康中锦医疗科技发展有限公司 | Breathing machine integrating method based on cloud platform, cloud platform and breathing machine |
| CN105610955A (en) * | 2016-01-05 | 2016-05-25 | 浪潮集团有限公司 | Patient monitoring system based on large data |
| CN105610980A (en) * | 2016-02-24 | 2016-05-25 | 成都信汇聚源科技有限公司 | Blood pressure information collection and processing system capable of distributing information actively |
| CN106039510A (en) * | 2016-07-29 | 2016-10-26 | 湖南明康中锦医疗科技发展有限公司 | Breathing machine safety control method, breathing machine and cloud platform |
| CN106913945A (en) * | 2015-12-26 | 2017-07-04 | 航天信息股份有限公司 | Lung ventilator long-distance monitoring method and system |
| CN109801715A (en) * | 2018-05-03 | 2019-05-24 | 复旦大学附属中山医院 | A kind of ICF assessment system being used for chronic obstructive pulmonary disease respiratory convalescence based on Internet of Things |
| CN110974216A (en) * | 2019-12-20 | 2020-04-10 | 首都医科大学宣武医院 | Remote control system of wireless electrocardiogram monitoring sensor |
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2011
- 2011-12-05 CN CN 201120499743 patent/CN202351878U/en not_active Expired - Fee Related
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102920445A (en) * | 2012-11-16 | 2013-02-13 | 四川宇峰科技发展有限公司 | Arteriosclerosis detector with cloud function |
| CN104063568A (en) * | 2013-03-21 | 2014-09-24 | 云狐科技(沈阳)有限公司 | Mobile medical system |
| CN104346510A (en) * | 2013-08-05 | 2015-02-11 | 云狐科技(沈阳)有限公司 | Medical service system for oxyhemoglobin saturation by smart phone |
| CN104237457A (en) * | 2014-05-27 | 2014-12-24 | 李岩 | Air quality monitoring method and system |
| CN105031786B (en) * | 2015-07-13 | 2017-03-29 | 湖南明康中锦医疗科技发展有限公司 | Based on the respirator integration method of cloud platform, cloud platform and respirator |
| CN105031786A (en) * | 2015-07-13 | 2015-11-11 | 湖南明康中锦医疗科技发展有限公司 | Breathing machine integrating method based on cloud platform, cloud platform and breathing machine |
| CN106913945A (en) * | 2015-12-26 | 2017-07-04 | 航天信息股份有限公司 | Lung ventilator long-distance monitoring method and system |
| CN106913945B (en) * | 2015-12-26 | 2020-11-17 | 航天信息股份有限公司 | Remote monitoring method and system for breathing machine |
| CN105610955A (en) * | 2016-01-05 | 2016-05-25 | 浪潮集团有限公司 | Patient monitoring system based on large data |
| CN105610980A (en) * | 2016-02-24 | 2016-05-25 | 成都信汇聚源科技有限公司 | Blood pressure information collection and processing system capable of distributing information actively |
| CN106039510A (en) * | 2016-07-29 | 2016-10-26 | 湖南明康中锦医疗科技发展有限公司 | Breathing machine safety control method, breathing machine and cloud platform |
| CN106039510B (en) * | 2016-07-29 | 2018-12-25 | 湖南明康中锦医疗科技发展有限公司 | Method, ventilator and the cloud platform of ventilator security control |
| CN109801715A (en) * | 2018-05-03 | 2019-05-24 | 复旦大学附属中山医院 | A kind of ICF assessment system being used for chronic obstructive pulmonary disease respiratory convalescence based on Internet of Things |
| CN110974216A (en) * | 2019-12-20 | 2020-04-10 | 首都医科大学宣武医院 | Remote control system of wireless electrocardiogram monitoring sensor |
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| CF01 | Termination of patent right due to non-payment of annual fee |