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Urine detection method based on intelligent mobile terminal

A technology of an intelligent mobile terminal and a detection method, applied in the field of detection, can solve the problems of inability to know the health status at any time, high cost, and inability to popularize equipment, and achieve the effects of improving convenience, low cost, and convenient operation.

Inactive Publication Date: 2018-09-28
CHONGQING JIAOTONG UNIVERSITY
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Problems solved by technology

However, due to its high cost, this device cannot be popularized, so that som

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  • Urine detection method based on intelligent mobile terminal
  • Urine detection method based on intelligent mobile terminal
  • Urine detection method based on intelligent mobile terminal

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Embodiment Construction

[0038] figure 1 It is a flowchart of the present invention, as shown in the figure, a urine detection method based on an intelligent mobile terminal provided by the present invention includes the following steps:

[0039] S1. Obtain the image of each color block on the test strip after the reaction between the test strip and the urine as the sample image information;

[0040] S2. Extracting the color features of the sample image information;

[0041] S3. Input the color feature of the sample image information into the neural network for training to obtain the urine standard result;

[0042] S4. Establish a mapping relationship model between color features and detection results;

[0043] S5. Write the neural network and the mapping relationship model into the smart mobile terminal, and the user collects the image information after the reaction between his urine and the test strip through the smart mobile terminal as the image information to be tested;

[0044] S6. Extract th...

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Abstract

The invention provides a urine detection method based on an intelligent mobile terminal. The method comprises the following steps: obtaining images of color blocks at a test paper and a test paper strip after a urine reaction as sample image information; extracting the color characteristic of the sample image information; inputting the color characteristic of the sample image information in nervenetwork for trainning to obtain the urine standard results; establishing a mapping relation model of the color characteristic and the detection result, writing the nerve network and a mapping relationmodel in an intelligent mobile terminal, and collecting the urine through the intelligent mobile terminal and the image information after the test paper strip is reacted as the to-be-measured image information; extracting the color characteristic of the to-be-measured image information and inputting the color characteristic in the nerve network, trainning the color characteristic of the to-be-measured image information in the nerve network and performing comparison according to the mapping relation model and the urine standard result, and outputting the urine detection result of the current users. The method completely realizes accurate urine detection without diagnosis in a hospital for a user, tedious queuing and diagnosis in the hospital for each time detection can be avoided, the operation is convenient, the cost is low, and the urine detection convenience is increased.

Description

technical field [0001] The invention relates to a detection method, in particular to a urine detection method based on an intelligent mobile terminal. Background technique [0002] With the rapid development of social economy, people's life pressure is increasing, and there are more and more physical diseases. Clinical urology, liver, and diabetes are also currently high-risk conditions, and these conditions may lead to changes in urine composition. Because urine samples are easier to collect, urine testing has naturally become widely used in auxiliary diagnosis of clinical diseases, monitoring of disease progression, monitoring of treatment effects or complications, and congenital or hereditary disease in asymptomatic people. Disease screening. [0003] Urine tests are generally divided into visual evaluation, physical and chemical examination, and sink examination. The detection methods include qualitative, semi-quantitative, quantitative and morphological examinations,...

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Application Information

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IPC IPC(8): G01N21/84G01N21/78
CPCG01N21/78G01N21/8483
Inventor 陈里里王帅杰司吉兵
Owner CHONGQING JIAOTONG UNIVERSITY
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