CC BY
1
Beautiful World of Computers and Code." Addison-Wesley Professional.
4. McKinney, W. (2017). "Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython." O'Reilly Media.
5. Сапаров, С. А., and О. А. Мамиков. "ОСОБЕННОСТИ ПРОГРАММИРОВАНИЯ НА ПРИМЕРЕ ЯЗЫКА PYTHON." Всемирный ученый 1.11 (2023): 64-68.
© Джумаханова Ш.А., 2024
УДК 62
Дурдыева Г.А., Рустамова М.Р., Дурдымурадова М.Д.
Преподаватели
Инженерно-технологический университет имени Огузхана
г. Ашхабад, Туркменистан Рустамов М. Р. Преподаватель
Туркменский государственный университет имени Махтумкули
г. Ашхабад, Туркменистан
РОЛЬ ИНТЕРНЕТА ВЕЩЕЙ В ОРГАНИЗАЦИИ ВНУТРИВЕННЫХ ВЛИВАНИЙ
Аннотация
В центре внимания этой статьи находится разработка технологической структуры, основанной на IoT (т.е. Интернете вещей-IoT), для дальнейшего повышения качества медицинской системы и мониторинга пациентов в режиме реального времени с использованием устройств на базе IoT с помощью современных передовых технологий.
Ключевые слова:
интернет вещей (IoT), управление системой здравоохранения, рост цифровой экономики,
внутривенное капельное введение.
Durdyyeva G. A., Rustamova M. R., Durdymyradova M. D.
Teachers
Oguzhan Engineering and Technology University Ashgabat, Turkmenistan Rustamov M. R. Teacher
Turkmen State University named after Magtymguly
Ashgabat, Turkmenistan
THE ROLE OF THE INTERNET OF THINGS IN ORGANIZING INTRAVENOUS FLUIDS
Annotation
The focus of this article is to develop an IoT-based (i.e. Internet of things-IoT) technological structure to further improve the quality of the medical system and monitor patients in real time using IoT-based devices through modern advanced technologies.
Keywords:
Internet of Things (loT), Healthcare system control, Growth of digital economy, Intravenous (IV) drip.
In today's world, we have seen significant advances in healthcare systems technologies, especially the Internet of Things (IoT). The widespread use of computers has led to progressive changes in healthcare. Thus, doctors provide high-quality services to the society using IoT-based devices. The described system helps doctors and patient's relatives to monitor the patient's physiological data and/or situation (heart rate, body temperature, video monitoring, etc.) from a distance.
Considering the need to improve the efficiency of the digital economy in healthcare, as well as the need to implement the operation of the system through digital platforms, in this system, more precisely, in hospitals, to carry out intravenous (IV) drip work based on a "smart" system for the purpose of remote monitoring of patients increases the efficiency of work and contributes to its improvement enormously. When the IV process is set up, the nurse has to wait until the prescribed amount of fluid reaches the prescribed volume. For example, if 150 ml of a 500 ml medicinal liquid is to be released at one time, it is necessary to wait until it releases the state (norm) of 150 ml from the initial state. In the proposed system, these obstacles are completely removed and more convenient functions are performed.
In order to install drip injection into smart remote monitoring system, Arduino uno microcontrollers, heart sensor, body temperature sensor, Dht temperature and humidity sensor, weight sensor, 18650 battery, buck converter and switching devices should be connected to a specially designed V-Stick Medical Immersion Stand.
Before connection is implemented, models of structures (components) are first simulated in Proteus program. Because with the help of simulation, the structure of the model intended to be prepared and the working algorithm are controlled. Through monitoring, it allows to describe the compatibility of electronic components with each other, to correct in case of errors, and to replace components with other types. After the simulation, the basis of the intended structure should be formed. As the main board in the components, that is, the structure that holds the data source, the Arduino uno microcontroller carries out the work of transferring data to other components with the corresponding pins.
Thus, the basic characteristics of the used devices can be like this:
• Arduino uno - a remote device that stores the microcontroller circuit and database;
• Heart or pulse sensor - detects heart rate and pulse and displays it;
• Body temperature - determines the temperature of the body;
• Step down converter - transmits signals and process information to the nurse or system user through an offline mobile application.
In remote monitoring, the user interface transmits data to the Android mobile application in real-time intervals in digital and analog form via a smart network to the nurse. Also, the doctor can remotely determine the flow of the drug infusion and informs when 10% of the drop is left to reach the prescribed volume. In the Android mobile app, the medicine stops the flow of infusion into the body.
When developing an Android mobile app, the following programs configure system-specific algorithms:
• Java Script - a programming language for developing mobile applications;
• Android studio - a framework designed to bring the Android operating system to the user interface through a programming language in its official integrated form;
Finally, the developed model can be effectively used for patients admitted to hospitals, ambulances, specialized and private clinic centers. In addition, a precise and effective system for the development of the medical system in the modern digital economy, the administration and technology of intravenous drip injection based on the digital system has been prepared. Based on the resulting concepts, 3 sections can be identified:
1. The stage of device configuration;
2. The stage of setting up the communication system;
3. User interface stage.
This system supports multi device applications and transferring the information in real time. The system that has implemented consist of hardware and software application. The hardware part has function to detect the droplets, to measure the volume and to control the speed of infusion droplets. The software was an application that has function to display the patient's information, which related to the infusion conditions. This application is web based as an interface for user that have authentication to access the system. References:
1. Davis, S.; Blanchard, C.; Lewis, J. (26 October 2018). "Implementing Smart Pumps to Enhance Patient Safety" (https://www.ncbi.nlm.nih.gov/pmc articles)
2. Umchid, S., Kongsomboom, P., and Buttondgee, M. 2018 Design and Development of a Monitoring System for Saline Administration Proceeding of the World Congress on Engineering 4-7
3. Antika Cahyanurani, Sugondo Hadiyoso, Suci Aulia, Muhammad Faqih Journal of Physics: Conference series 1367 (2019) Design and development of a monitoring and controlling system for multi-intravenous infusion
4. Anagha R, Ashwini S, Keerthana G, Monica M, "IoT based Intravenous Flow Monitoring System", International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 05 (2020)
5. Elizabeth Liza Mathew, Jesson K James, Aprnna Radhakrishnan, Bibin Sebastian, Hanna Mathew, "The Novel Intravenous Fluid Level Indicator for Smart IV Systems", International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 06 (2020)
6. Konchi Raghavendra Rao, Koluthuri Evangili Supriya, "Design and Development of IoT based Intraveneous Infusion System" Emerging Trends in Electrical, Communications and Information Technologies, Lecture Notes in Electrical Engineering (2019)
© flypflbieBa r.A., PycraMOBa M.P., flypflbiMypagpBa M.fl., PycraMOB M.P., 2024
УДК 004.414.23
Москалев А.А.
сотрудник Академии ФСО России,
г. Орёл, РФ Хавров М.С. сотрудник Академии ФСО России,
г. Орёл, РФ
Научный руководитель: Самойленко В.В.
сотрудник Академии ФСО России,
г. Орёл, РФ
ИМИТАЦИОННОЕ МОДЕЛИРОВАНИЕ КАНАЛОВ СИСТЕМЫ РАДИОСВЯЗИ
Аннотация
Рассмотрена проблема разработки имитационных моделей каналов системы связи на примере канала для передачи радиосигналов в коротковолновом диапазоне частот. Представлены диаграммы и схемы поясняющие особенности сигнала для формирования модели. Произведена оценка сложности реализации использования имитационного моделирования для разных сигналов
Ключевые слова
Имитационное моделирование, коротковолновая радиосвязь, радиоканал.
