CN105260606A - Mobile medical optical information acquisition system - Google Patents
Mobile medical optical information acquisition system Download PDFInfo
- Publication number
- CN105260606A CN105260606A CN201510669648.2A CN201510669648A CN105260606A CN 105260606 A CN105260606 A CN 105260606A CN 201510669648 A CN201510669648 A CN 201510669648A CN 105260606 A CN105260606 A CN 105260606A
- Authority
- CN
- China
- Prior art keywords
- sensor
- optical information
- analysis
- data
- information
- 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.)
- Granted
Links
- 230000003287 optical effect Effects 0.000 title claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 45
- 238000012360 testing method Methods 0.000 claims abstract description 33
- 238000010295 mobile communication Methods 0.000 claims abstract description 13
- 230000004044 response Effects 0.000 claims abstract description 5
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 4
- 230000002123 temporal effect Effects 0.000 abstract 1
- 239000000203 mixture Substances 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013100 final test Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 210000002700 urine Anatomy 0.000 description 1
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention relates to a mobile medical optical information acquisition system. The system is characterized by comprising a sensor, a database, a mobile communication device, a client and an analysis server, wherein the sensor comprises an identification module for displaying ex-factory information. A user only needs to purchase the sensor without the need for purchasing an entire intelligent detection device, thus greatly reducing the cost and eliminating the regional and temporal restrictions. When information displayed on the sensor is acquired by the mobile communication device, a device error can be reduced when performing analysis, wherein the information comprises sensor information and response information. The analysis server uses information of the same database when performing analysis, and the information is test data of a sensor of a corresponding batch, so that the data accuracy is greatly improved.
Description
[
technical field]
The present invention relates to medical treatment, health field, particularly relate to a kind of mobile medical optical information acquisition system.
[
background technology]
Current health detection is mainly divided into two kinds, and one directly checks by doctor; Another kind is by equipment inspection post analysis, analyzes and has again two kinds of modes, and one gives doctor to analyze, and another kind is smart machine analysis; There are the following problems for these methods: 1, patient and the aspectant inspection of doctor exist region and timeliness restriction; 2, checkout equipment is expensive, cost is high; 3, the data that smart machine analysis relies on are local data base, as equipment carries the experience database of database, concrete hospital, and the property of there are differences between these databases, it is professional and accuracy not enough; 4, in the diagnostic procedure of smart machine, there is error in information acquisition, analysis, conclusion.
[
summary of the invention]
A kind of user is the object of the present invention is to provide only to need to buy sensor, by optical change information before and after the good sensor of mobile device record, information is sent to doctor, corresponding data in optical information and unified database is compared by doctor just can draw the mobile medical optical information acquisition system of analysis result, is intended to solve high, the region of testing cost and timeliness restriction is large, data error is large, analytical error is large problem.
The present invention is achieved in that a kind of mobile medical optical information acquisition system, comprise for testing the sensor with display optical information, record the database of the standard test data of the sensor of every production batch, mobile communication equipment, client is on a mobile communications device installed, Analysis server, mobile communication equipment pick-up transducers display optical information after by client upload to Analysis server, this batch sensor experimental data is in the server compared and is drawn analysis result after Analysis server carries out revising to optical information and in database, Analysis server just this analysis result is preserved and is returned client, described sensor also comprises the identification module showing information of dispatching from the factory.
Further technical scheme of the present invention is: described identification module comprise in bar code, Quick Response Code, electronic tag, IC chip one or more, described in the information of dispatching from the factory comprise model, manufacturer, lot number, the term of validity.
Further technical scheme of the present invention is: the optical information of described sensor test is divided into calibration data and test data, described calibration data is the optical information before tester put into by sensor, and described test data is the optical information after tester put into by sensor.
Further technical scheme of the present invention is: the sensor optical information before tester put into by the sensor that the experimental data of described database comprises every production batch, and the light reaction result classified information of different standards.
Further technical scheme of the present invention is: the analysis of described Analysis server is divided into four steps, the first step is that the analysis of calibration data and sensor optical information is to reduce sensor error, second step averages to reduce test data error to repeatedly test result, 3rd is that the analysis of the first step and second step is combined formation correction data, and the 4th is correction data and light reaction result classified information are compared.
The invention has the beneficial effects as follows: owing to adopting technique scheme, user only needs buy sensor and do not need to buy a whole set of intelligent detection equipment, greatly reduces cost, and eliminates region and timeliness restriction; When the information shown by mobile communication equipment pick-up transducers, contain sensor information and reaction information, this just makes can reduce equipment error when analyzing; Analysis server uses the information of same database when analyzing, and is the test figure of corresponding batch sensor, and the accuracy of data just substantially increases.
[
embodiment]
A kind of mobile medical optical information acquisition system, comprise for testing the sensor with display optical information, record the database of the standard test data of the sensor of every production batch, mobile communication equipment, client is on a mobile communications device installed, Analysis server, mobile communication equipment pick-up transducers display optical information after by client upload to Analysis server, this batch sensor experimental data is in the server compared and is drawn analysis result after Analysis server carries out revising to optical information and in database, Analysis server just this analysis result is preserved and is returned client, described sensor also comprises the identification module showing information of dispatching from the factory.Sensor described here is basic operating equipment, increase identification module such as on the cuvette of existing urine examination, but existing cuvette must be use with cover or use with individual, that is equipment error is very large to data Influence on test result, the data of cuvette of the present invention owing to there being every batch in database, can identify again which batch the cuvette of use belongs to, therefore just close to eliminating equipment error.Optical information of the present invention comprises natural light, reaction light etc., also comprises chromatogram and intensity of illumination etc.
Described identification module comprise in bar code, Quick Response Code, electronic tag, IC chip one or more, described in the information of dispatching from the factory comprise model, manufacturer, lot number, the term of validity.
The optical information of described sensor test is divided into calibration data and test data, and described calibration data is the optical information before tester put into by sensor, and described test data is the optical information after tester put into by sensor.
The sensor optical information before tester put into by the sensor that the experimental data of described database comprises every production batch, and the light reaction result classified information of different standards.
The analysis of described Analysis server is divided into four steps, the first step is that the analysis of calibration data and sensor optical information is to reduce sensor error, second step averages to reduce test data error to repeatedly test result, 3rd is that the analysis of the first step and second step is combined formation correction data, and the 4th is correction data and light reaction result classified information are compared.Its concrete analytical procedure is: A, laboratory is taken in the every batch sensor produced sampling test, and show that the laboratory data of standard stores in the server; B, user terminal received put into the sensor response information detected before and after thing and are divided into calibration data and test data, identify together with sensor information; C, the average RBG value calculating test data or average gray value, calculate average RBG value Weighted Average Algorithm, obtain a colour mixture data; The laboratory data of D, calibration data and this batch sensor of being stored in server is compared, and obtain correction coefficient, the specific algorithm of correction coefficient is: 1-(sensor optical information-calibration data)/calibration data=correction coefficient; E, colour mixture data or average gray value being multiplied with correction coefficient obtains colour mixture modified value or gray-level correction value; F, to find this batch sensor laboratory data in the server and colour mixture modified value or gray-level correction value by sensor information and compare, obtain final testing result and carry out filing and being sent to client.
Such as little red test pregnant, to pregnant front and back sensor be tested with mobile phone--the multiple pictures testing pregnant rod of band identification module takes, then Analysis server is sent to by client, doctor Analysis server by test pregnant before the sensor optical information tested in pregnant rod and database contrast, remove the error of environment for use and the formation of collection environment, namely obtain correction coefficient; Correction coefficient is multiplied with test data mean value simultaneously and obtains revising data, this is just equivalent to clinical data very accurately, then by experimental data corresponding in this Data Comparison database, just can draw analysis result very accurately, whole process makes equipment, doctor, database get the maximum use, professional very high, but but do not use hospital's queuing consulting, break region and time restriction.
User only needs buy sensor and do not need to buy a whole set of intelligent detection equipment, greatly reduces cost, and eliminates region and timeliness restriction; When the information shown by mobile communication equipment pick-up transducers, contain sensor information and reaction information, this just makes can reduce equipment error when analyzing; Analysis server uses the information of same database when analyzing, and is the test figure of corresponding batch sensor, and the accuracy of data just substantially increases.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (5)
1. a mobile medical optical information acquisition system, it is characterized in that: comprise for testing the sensor with display optical information, record the database of the standard test data of the sensor of every production batch, mobile communication equipment, client is on a mobile communications device installed, Analysis server, mobile communication equipment pick-up transducers display optical information after by client upload to Analysis server, this batch sensor experimental data is in the server compared and is drawn analysis result after Analysis server carries out revising to optical information and in database, Analysis server just this analysis result is preserved and is returned client, described sensor also comprises the identification module showing information of dispatching from the factory.
2. mobile medical optical information acquisition system according to claim 1, it is characterized in that: described identification module comprise in bar code, Quick Response Code, electronic tag, IC chip one or more, described in the information of dispatching from the factory comprise model, manufacturer, lot number, the term of validity.
3. mobile medical optical information acquisition system according to claim 1, it is characterized in that: the optical information of described sensor test is divided into calibration data and test data, described calibration data is the optical information before tester put into by sensor, and described test data is the optical information after tester put into by sensor.
4. mobile medical optical information acquisition system according to claim 3, it is characterized in that: the sensor optical information before tester put into by the sensor that the experimental data of described database comprises every production batch, and the light reaction result classified information of different standards.
5. mobile medical optical information acquisition system according to claim 4, it is characterized in that: the analysis of described Analysis server is divided into four steps, the first step is that the analysis of calibration data and sensor optical information is to reduce sensor error, second step averages to reduce test data error to repeatedly test result, 3rd is that the analysis of the first step and second step is combined formation correction data, and the 4th is correction data and light reaction result classified information are compared.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510669648.2A CN105260606B (en) | 2015-10-16 | 2015-10-16 | Mobile medical optical information acquisition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510669648.2A CN105260606B (en) | 2015-10-16 | 2015-10-16 | Mobile medical optical information acquisition system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105260606A true CN105260606A (en) | 2016-01-20 |
| CN105260606B CN105260606B (en) | 2018-05-18 |
Family
ID=55100295
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510669648.2A Active CN105260606B (en) | 2015-10-16 | 2015-10-16 | Mobile medical optical information acquisition system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105260606B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124748A (en) * | 2016-07-27 | 2016-11-16 | 柳州康云互联科技有限公司 | Routine urinalysis detection sensor for mobile terminal |
| WO2017063598A1 (en) * | 2015-10-16 | 2017-04-20 | 吴凡 | Cloud processing method for collected optical information |
| CN106991052A (en) * | 2017-04-05 | 2017-07-28 | 广东浪潮大数据研究有限公司 | A kind of method of BMC problems automated analysis reproduction |
| CN109493326A (en) * | 2018-10-31 | 2019-03-19 | 广州蚁群信息科技有限公司 | A kind of mobile discriminance analysis system for medical detection field |
| CN111289597A (en) * | 2020-03-25 | 2020-06-16 | 上海博取环境技术有限公司 | Method for transmitting calibration parameters of PH sensor |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6980929B2 (en) * | 2001-04-18 | 2005-12-27 | Baker Hughes Incorporated | Well data collection system and method |
| CN101063990A (en) * | 2006-04-30 | 2007-10-31 | 迈世亚（北京）科技有限公司 | Medical information processing system and method |
| CN103870940A (en) * | 2014-04-02 | 2014-06-18 | 郭方达 | Medical equipment management device based on RFID technology and operating method thereof |
| CN104280390A (en) * | 2014-09-30 | 2015-01-14 | 王钧 | Network-based colorimetric detection system |
| CN104301397A (en) * | 2014-09-28 | 2015-01-21 | 四川长虹电器股份有限公司 | Intelligent medical management system based on mobile terminal |
| CN104931101A (en) * | 2015-06-29 | 2015-09-23 | 南京邮电大学 | Android-based multi-index real-time environment monitoring terminal system, and method |
-
2015
- 2015-10-16 CN CN201510669648.2A patent/CN105260606B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6980929B2 (en) * | 2001-04-18 | 2005-12-27 | Baker Hughes Incorporated | Well data collection system and method |
| CN101063990A (en) * | 2006-04-30 | 2007-10-31 | 迈世亚（北京）科技有限公司 | Medical information processing system and method |
| CN103870940A (en) * | 2014-04-02 | 2014-06-18 | 郭方达 | Medical equipment management device based on RFID technology and operating method thereof |
| CN104301397A (en) * | 2014-09-28 | 2015-01-21 | 四川长虹电器股份有限公司 | Intelligent medical management system based on mobile terminal |
| CN104280390A (en) * | 2014-09-30 | 2015-01-14 | 王钧 | Network-based colorimetric detection system |
| CN104931101A (en) * | 2015-06-29 | 2015-09-23 | 南京邮电大学 | Android-based multi-index real-time environment monitoring terminal system, and method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017063598A1 (en) * | 2015-10-16 | 2017-04-20 | 吴凡 | Cloud processing method for collected optical information |
| CN106124748A (en) * | 2016-07-27 | 2016-11-16 | 柳州康云互联科技有限公司 | Routine urinalysis detection sensor for mobile terminal |
| CN106991052A (en) * | 2017-04-05 | 2017-07-28 | 广东浪潮大数据研究有限公司 | A kind of method of BMC problems automated analysis reproduction |
| CN109493326A (en) * | 2018-10-31 | 2019-03-19 | 广州蚁群信息科技有限公司 | A kind of mobile discriminance analysis system for medical detection field |
| CN109493326B (en) * | 2018-10-31 | 2021-07-20 | 广州蚁群信息科技有限公司 | Mobile recognition analysis system for medical detection field |
| CN111289597A (en) * | 2020-03-25 | 2020-06-16 | 上海博取环境技术有限公司 | Method for transmitting calibration parameters of PH sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105260606B (en) | 2018-05-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105260606A (en) | Mobile medical optical information acquisition system | |
| US10755411B2 (en) | Method and apparatus for annotating medical image | |
| CN105388147A (en) | Detection method for body fluid based on special test paper | |
| CN106404783B (en) | Test paper detecting method and device | |
| CN103544401A (en) | Method, device and system for obtaining reagent detection information remotely | |
| CN103414810A (en) | Method for detecting response image based on mobile terminal, mobile terminal and detection carrier | |
| CN104156441A (en) | LIS data analysis method based on data mining technology | |
| CN110349653A (en) | Display methods, equipment and the storage medium of image analysing computer data | |
| CN208188861U (en) | A kind of medical detection reagent intelligent identifying system based on NFC technique | |
| CN114218244B (en) | Online chromatograph database updating method, data identification method and device | |
| CN103581391A (en) | Smart phone and method for measuring pH (potential of hydrogen) of body fluid | |
| CN107844970A (en) | Image-recognizing method and retrospect scale terminal | |
| CN104840194A (en) | Digital electrocardiograph calibration method and system | |
| KR20220034495A (en) | Method for analyzing biometerials based on imgae analysis and personalization data | |
| US20170276690A1 (en) | Visually-Based Diagnostic Device for Automatic Determination of a Physiologic Level Associated with a Sample | |
| CN102217944A (en) | Method for measuring bone density by using digital X-ray images | |
| CN111131905A (en) | Image quality detection method, device, equipment and storage medium | |
| US20110081060A1 (en) | Pathological-Diagnosis Support Device and Pathological-Diagnosis Support System | |
| Kibria et al. | Smartphone-based point-of-care urinalysis assessment | |
| CN106546535A (en) | Optical detection device, optical detection method and optical detection system | |
| WO2017063598A1 (en) | Cloud processing method for collected optical information | |
| CN118037868B (en) | High-color-gamut display screen quality rapid detection method and system based on image processing | |
| CN109493326B (en) | Mobile recognition analysis system for medical detection field | |
| CN110874521A (en) | Analyzer and its sample numbering method and storage medium | |
| CN109993011A (en) | A kind of equipment and test tube quantity automatic recognition system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20170517 Address after: No. 19 A District 545000 building the Guangxi Zhuang Autonomous Region Liuzhou Liu Dong New Area chuyang road 3 No. 204 Applicant after: Liuzhou Kang Yun Internet Technology Co., Ltd. Address before: 545000, No. 11, East Lane, Bayi Road, North District, the Guangxi Zhuang Autonomous Region, Liuzhou Applicant before: Wu Fan |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |