8 results about "Urine sugar" patented technology

The urine sugar detection device comprises a urine storage cavity, the edge of an opening in the top end of the urine storage cavity extends outwards to form an integrally-formed pedestal pan supporting part, and a urine outflow pipeline is arranged at the bottom end of the urine storage cavity. An automatic control valve device is arranged between the urine storage cavity and the urine outflow pipeline, the automatic control valve device comprises an upper partition plate, a valve control plate and a lower partition plate which are coaxially arranged, a circular hole is formed in the upper partition plate, the valve control plate is arranged between the upper partition plate and the lower partition plate, and the lower partition plate is provided with a circular hole. A control hole matched with the circular hole is formed in the valve control plate; the urine storage cavity can store a large amount of urine, the phenomenon that the urine overflows from the upper end of the urine cup in the collection process is avoided, and safety and sanitation of a diabetic patient in the urine collection process are guaranteed. After diabetes urine sugar detection is finished, the automatic control valve device is directly controlled by one key to be opened, and urine flows out.

The invention discloses a urine sugar concentration continuous monitoring method based on deep learning, and the method comprises the following steps: collecting a diffusion dynamic image sequence of urine, and carrying out the preprocessing; extracting a typical structure of the color evolution trajectory, and constructing a reference of the healthy urine diffusion image; calculating a color shift image sequence, and generating a sugar shift score vector; simulating a sugar basic level generated at the current moment based on historical physiological data and metabolic parameters of a user, and jointly generating a preliminary sugar concentration estimated value sequence; extracting color diffusion dynamic characteristics, and generating a concentration prediction vector in combination with the initial sugar concentration estimation value sequence; obtaining a sugar concentration result sequence through an Informer network; and generating a corrected continuous sugar concentration monitoring result based on the statistical value of the color diffusion dynamic characteristic. According to the method, deep learning and color diffusion modeling are fused, urine sugar dynamic monitoring is achieved, and the method has the advantages of being high in accuracy, high in adaptability and excellent in continuity.

The application discloses a blood glucose index non-invasive monitoring method for home diabetic patients, and aims at the problem that the existing home urine sugar detection is affected by the dynamic dilution of the toilet bottom water and the change of individual physiological state, resulting in large calculation error. The method first acquires a toilet residual water constant C, and matches a specific blood sugar urine sugar ratio constant K2 based on the current physiological state of the user. Then, a sudden change signal such as temperature or conductivity is collected by an immersion urine sensor, the urination duration is calculated to dynamically estimate the single urine volume M, and the mixed urine sugar concentration CDG is acquired. Finally, the dilution ratio constant K1 is obtained based on C and M, and multi-dimensional dynamic compensation is carried out in combination with K2 and CDG, so that the current blood glucose index BG can be accurately calculated. Through dynamic estimation of the underlying signal and matrix matching of the physiological state, the application effectively eliminates the interference of the environment and metabolic fluctuations, and realizes painless and high-precision invisible monitoring.

The application relates to the fields of genetic engineering and enzyme engineering, and particularly relates to a heat-stable hexokinase mutant and application thereof. The application provides a hexokinase mutant, wherein the amino acid sequence of the hexokinase mutant is mutated at one or more of positions 204 and 344 of the amino acid sequence of wild-type hexokinase, and the mutated amino acid is selected from lysine, arginine, alanine or leucine; and the amino acid sequence of the wild-type hexokinase is shown in SEQ ID NO. 1. The hexokinase mutant provided by the application can effectively improve the stability of hexokinase from Saccharomyces cerevisiae, and is beneficial to solving the instability problem of hexokinase in clinical detection of blood glucose and urine glucose, and has important application value.

The application discloses a kind of based on deep learning's urine sugar concentration continuous monitoring method, comprising the following steps: collecting the diffusion dynamic image sequence of urine, and pre-processing;Typical structure of color evolution track is extracted, and the benchmark of healthy urine diffusion image is constructed;Calculate color offset image sequence, generate sugar offset score vector;Based on user historical physiological data and metabolic parameter simulation current time generated sugar basic level, jointly generate preliminary sugar concentration estimation value sequence;Extract color diffusion dynamic feature, combine preliminary sugar concentration estimation value sequence to generate concentration prediction vector;Sugar concentration result sequence is obtained by Informer network;Based on the statistical value of color diffusion dynamic feature, generate corrected continuous sugar concentration monitoring result.The application fuses deep learning and color diffusion modeling, realizes urine sugar dynamic monitoring, with the advantages of strong accuracy, high adaptability and continuity.

The utility model relates to urine analysis technical field, concretely relates to a urine sugar detector, including casing and temperature control mechanism, temperature control mechanism includes heating film and temperature sensor, and the casing is provided with test paper groove, and the heating film is located in the outer wall of test paper groove, and test paper groove forms urine sugar reaction area, and urine sugar reaction area is equipped with temperature sensor, and temperature sensor is connected with heating film signal, the urine sugar detector that the utility model provides can guarantee that test paper groove is in use temperature always at set temperature, avoided the condition that the detection result exists difference due to different seasons, different regions to take place, promoted the consistency of detection.

The invention belongs to the technical field of urine sugar detection, and particularly relates to a urine sugar detection method based on millimeter wave radar, which comprises the following steps: step 1, a user uses a disposable urine measuring cup to collect a urine sample under an indoor constant temperature condition, and the nominal capacity of the measuring cup is 15-20mL; the measuring cup is made of a plastic material through which electromagnetic waves can penetrate, and the thickness of the side wall of the measuring cup is 0.8-1.2 mm. The glucose concentration in the urine is detected in a non-contact mode, the millimeter wave radar transmits signals and receives echo signals reflected by the urine, data analysis is carried out according to the amplitude change of the echo signals in combination with a neural network algorithm, and the glucose concentration in the urine and the amplitude of the echo signals are calculated by establishing a correlation model between the glucose concentration in the urine and the amplitude of the echo signals. According to the method, the glucose concentration in urine can be accurately predicted, the urine glucose level of the human body can be rapidly detected, a convenient household urine glucose detection scheme is provided for diabetics, and the diabetes risk can be found in the early stage and effectively intervened.

The present application relates to a urine sugar detection reagent and kit and its preparation method and application, belong to medical detection field. The urine sugar detection reagent is a recombinant binding protein, has the ability of specific binding β-D-glucose, its construction method is to replace single domain antibody CDR3 region with binding peptide segment and carry out recombination expression, the binding peptide segment has the structural characteristics similar to glucose oxidase (GOD) binding region. The present application also relates to a urine sugar detection method using the recombinant binding protein, and its related detection kit and detection chip preparation method. The detection reagent prepared by the present application is a non-enzyme recombinant protein, which has high specificity, high sensitivity, stable structure and low cost. The urine sugar detection kit or detection chip prepared by using the recombinant protein of the present application has the advantages of high sensitivity, low cost and storage resistance. The urine sugar detection method based on the above kit or detection chip using ELISA or SPR method has accurate and reliable results and high sensitivity, which can meet the rapid and accurate urine sugar detection requirements.