System for detecting abnormal urine of human body

Abstract

The invention discloses a detection system for human urine abnormity. The detection system is characterized by comprising an optical transceiver module, a semi-automatic mobile module, an intelligent acquisition module, an algorithm module, an intelligent analysis module, an output display module and a data platform module, the optical transceiver module is used for irradiating a specific light source on the test strip and receiving the reflected light source; the intelligent acquisition module is used for converting the reflected optical signal into an electric signal; the algorithm module is used for storing information needing to be detected by the system and executing detection according to preset requirements; the intelligent analysis module is used for identifying the collected electric signal information according to a preset algorithm; the output display module is used for acquiring the data analyzed by the intelligent analysis module and displaying the information data; and the data platform module is used for storing data and updating internal data in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of urine detection, and in particular to a detection system for abnormal human urine. Background Art

[0002] Urinalysis is one of the "three major routine" items in medical examinations. It is a diagnostic method for certain systemic lesions and diseases that affect urine changes in the body's organs. At the same time, urine tests can also reflect the screening, treatment effects and prognosis of some diseases. The earliest urine testing method was to judge the health status of the body by observing the color, smell and sediment of urine. This method is simple and crude and cannot provide accurate quantitative data. By the beginning of the 20th century, chemical reagent paper was introduced into urine analysis. This test paper is coated with a variety of chemical reagents. When the test paper comes into contact with urine, the change in the color of the test paper is used to determine whether there is a specific component in the urine. The use of chemical reagent paper is convenient and fast, but it can only provide qualitative results and cannot obtain accurate concentrations and values. With the advancement of science and technology, urine analysis instruments have begun to be used in clinical laboratories and medical institutions. These instruments have higher accuracy and precision, but require professional operators and equipment, and the equipment is relatively expensive. At present, hospitals still use this method for urine testing. As people's demand for self-management of health increases, portable urine analyzers have gradually come to the fore. This miniaturized instrument can be easily carried and used, and users can perform urine tests at home or anywhere and obtain instant results.

[0003] The urine test strips used in the market have large deviations in the test results due to different personal recognition of colors; and the urine analyzers used in the market generally cannot interpret abnormal measurement results. Compared with home medical equipment such as blood pressure monitors and blood glucose meters, their prices are relatively high, they have few personalized functions, and their cost-effectiveness is low, resulting in insufficient application by ordinary household users. Going to the hospital for automatic biochemical analyzer testing is time-consuming and laborious, resulting in a low penetration rate of urine analyzers. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a detection system for abnormal human urine, which has fourteen detection indicators that can be qualitatively or semi-quantitatively and automatically detected in urine: urobilinogen, bilirubin, ketone bodies, creatinine, blood, protein, microalbumin, nitrite, leukocytes, glucose, specific gravity, pH, ascorbic acid, and urine calcium. It has the advantages of being easy and quick to use, not requiring professional operation, saving time and effort, and having abnormal interpretation of results, etc., which solves the problems of strong subjectivity of traditional urine detection methods, large errors in human operation, and poor timeliness of collection.

[0005] A detection system for abnormal human urine, comprising an optical transceiver module, a semi-automatic movement module, an intelligent acquisition module, an algorithm module, an intelligent analysis module, an output display module and a data platform module; An optical transceiver module is used to illuminate a specific light source onto the test strip and receive the reflected light source; Intelligent acquisition module, used to convert the reflected optical signal into an electrical signal; Algorithm module, used to store the information that the system needs to detect and perform detection according to preset requirements; The intelligent analysis module identifies the collected electrical signal information according to the preset algorithm; The output display module obtains the data analyzed by the intelligent analysis module and displays the information data; The data platform module is used to store data and update internal data in real time.

[0006] Beneficial effects of the present invention: The invention has the advantages of being convenient and quick to use, not requiring professional personnel to operate, saving time and effort, and providing abnormal interpretation of results, etc. It solves the problems of traditional urine testing methods such as strong subjectivity, large human operation errors, and poor collection timeliness. DETAILED DESCRIPTION

[0007] A detection system for abnormal human urine, comprising an optical transceiver module, a semi-automatic movement module, an intelligent acquisition module, an algorithm module, an intelligent analysis module, an output display module and a data platform module; An optical transceiver module is used to illuminate a specific light source onto the test strip and receive the reflected light source; Intelligent acquisition module, used to convert the reflected optical signal into an electrical signal; Algorithm module, used to store the information that the system needs to detect and perform detection according to preset requirements; The intelligent analysis module identifies the collected electrical signal information according to the preset algorithm; The output display module obtains the data analyzed by the intelligent analysis module and displays the information data; The data platform module is used to store data and update internal data in real time.

[0008] Furthermore, the specific light source selection includes 5 light sources with specific wavelengths (518nm, 574nm, 605nm, 624nm, 850nm) and specific luminous intensity (250-1500mcd): red light, green light, yellow-green, orange light, and infrared light.

[0009] Each light source needs to be screened for emission angle (half angle 30 degrees) and luminous intensity (400mcd).

[0010] The algorithm module includes a gradient value setting algorithm: 14 indicators and 56 gradients (100 times for a single gradient and 5,600 times for a total of 5,600 times). According to the true value of each quality control solution, the average value AV and standard deviation SD of the sampling points are calculated using a discrete algorithm to calculate AVi-n*SD and AVi-1+n*SD. Combined with the degree of deviation of the curve from the abnormal limit, 56 gradient values ​​are obtained to set the standard values ​​for urobilinogen, bilirubin, ketone bodies, creatinine, blood, protein, microalbumin, nitrite, leukocytes, glucose, specific gravity, pH, ascorbic acid, and urine calcium.

[0011] Step 1: Prepare the specified concentration of quality control solution XK-i K represents the specified concentration i represents the batch: i value selection: 5 K value is set according to medical standards Step 2: Divide each batch of quality control solution into N parts and select N value as 20 Step 3: Test and sample each batch XK-iN Step 4: Record the sample values ​​{XK-1-1, XK-1-2, ..., XK-1-20} {XK-2-1, XK-2-2, ..., XK-2-20} ...... {XK-5-1, XK-5-2, ..., XK-5-20} Step 5: Calculate the average K concentration AVK: {AV1, AV2,......,AV20} Step 6: Calculate SDK: {SD1, SD2, ... SD20} Step 7: Calculate: AVi-n*SDi and AVi-1+n*SDi-1. n is an integer. Determine the value of n by calculating whether the difference crosses. Step 8: Calculate the curve Y=kXi+b based on the sampling points Xi and Xi-1 to determine the deviation of its gradient value and confirm its true value.

[0012] Single reagent block jump point removal algorithm: Each test strip block is dispersed on the automatic transport stage, and three batches are sampled; a single batch of single reagent block AD is sampled 20 times, sorted by the bubble method, the first and last 4 times are removed, and the remaining 16 times are averaged; a single area is sampled 24 times, sorted by the bubble method, the maximum area value 4 times and the minimum area value 4 times are removed, and the remaining 16 times are left; three areas are sorted by the bubble method 48 times, the maximum area value 4 times and the minimum area value 4 times are removed, and the remaining 40 times are averaged, the area jump value is completely removed, and then the final value is obtained according to the gradient algorithm; Blank block de-yellowing algorithm: a special design of a test strip containing 15 reagent blocks, adding a blank block for de-yellowing treatment on the basis of the 14 test indicator reagent blocks; specific methods: prepare quality control solutions of different concentrations, sample the data of all test light green, yellow-green, orange, and red light sources of the blank block, and calculate the k and b values ​​in the linear equation y=kx+b. In the detection application, the yellowing effect is achieved by sampling the urine analyzer sample data and then subtracting the blank block collection data.

[0013] The data platform module obtains abnormal urine data through the hospital information system, and organizes the obtained data into an abnormal medical record data set to form a urine sample abnormality interpretation library; the library is updated online and offline through the Internet.

[0014] Furthermore, the output display module forms an abnormal interpretation library picture through embedded software and outputs it on the TFT screen. The output display module adopts Guangzhou Daxian Technology TFT screen (DC48270M043), which has touch screen function and RTC clock, and independently completes the screen software design, which is convenient and fast; at the same time, it transmits serial port data with the embedded single-chip computer system (GD32F303RET6) to realize the detection output of the whole system; the system embedded design includes 4G network module design, which adopts Shandong human module WH-LTE-7S1, and uploads data to the platform server through UDP communication mode. The server then distributes the data to each APP client to complete data interaction.

Claims

1. A detection system for abnormal human urine, characterized in that: It includes optical transceiver module, semi-automatic mobile module, intelligent acquisition module, algorithm module, intelligent analysis module, output display module and data platform module; An optical transceiver module is used to illuminate a specific light source onto the test strip and receive the reflected light source; Intelligent acquisition module, used to convert the reflected optical signal into an electrical signal; Algorithm module, used to store the information that the system needs to detect and perform detection according to preset requirements; The intelligent analysis module identifies the collected electrical signal information according to the preset algorithm; The output display module obtains the data analyzed by the intelligent analysis module and displays the information data; The data platform module is used to store data and update internal data in real time.

2. A detection system for abnormal human urine according to claim 1, characterized in that: The algorithm module includes a gradient value setting algorithm: 14 indicators and 56 gradients. According to the true value of each quality control solution, the average value AV and standard deviation SD of the sampling points are calculated using a discrete algorithm to calculate AVi-n*SD and AVi-1+n*SD. Combined with the degree of deviation of the curve from the abnormal limit, 56 gradient values ​​are obtained, and standard values ​​are set for urobilinogen, bilirubin, ketone bodies, creatinine, blood, protein, microalbumin, nitrite, leukocytes, glucose, specific gravity, pH, ascorbic acid, and urine calcium.

3. A detection system for abnormal human urine according to claim 1, characterized in that: The algorithm module also includes a single reagent block jump point removal algorithm: Each test strip block is dispersed on the automatic transport loading platform and sampled in three batches; a single batch of single reagent block AD is sampled 20 times and sorted by the bubble method. The first and last 4 times are removed, and the remaining 16 times are averaged; a single area is sampled 24 times and sorted by the bubble method. The maximum area value 4 times and the minimum area value 4 times are removed, and the remaining 16 times are left; three areas are sampled 48 times by the bubble method. The maximum area value 4 times and the minimum area value 4 times are removed, and the remaining 40 times are averaged. The area jump values ​​are completely removed, and then the final value is obtained according to the gradient algorithm.