Intellectual system of monitoring and analysis of sugar in human organism

Abstract

Standard methods of checking and monitoring the amount of sugar in the blood do not allow to fully see the results, do not facilitate the study, and the reliability and accuracy. During the collection of information, no devices were found that contain a high-quality system with reliability (reliability), in reasonable terms (speed), and comfort of use (convenience).

The principles of analysis and monitoring of human blood sugar were considered in the work. Tables of normal glucose values for different age groups have been identified, including aspects of the duration of food intake and disease status. According to this information, an algorithm was formed to determine the normal level of human blood sugar, in relation to the characteristics that the user adds at the beginning of the program.

In addition, the main aspects of monitoring are considered, which allows to speed up the system. Accordingly, an optimized data model was developed to store information about the user's input and the main data types of its variables were identified. To simplify, speed up and increase reliability, an algorithm for writing and reading element variables was implemented. A comparative analysis of the speed of writing and reading with the corresponding program "MedM Diabets". Which clearly shows the results of using the algorithm to optimize the program.

The concept of a user-friendly interface allows a person to start using the software without any problems. Additional information screens are used to inform the user in more detail. And the use of principles and algorithms to simplify data handling ensures optimization of the entire system. At the same time, the concept of a simple interface, which consists of only three main components, improves its speed and reliability.